Wastewater analysis and drugs — a European multi-city study

Page last updated: June 2021

Introduction

Analysing communal wastewaters for drugs and their metabolic products in order to estimate their consumption in the community is a developing field, involving scientists working in different research areas, including analytical chemistry, physiology and biochemistry, sewage engineering, spatial epidemiology and statistics, and conventional drug epidemiology. This page presents the findings from studies since 2011. Data from all studies may be explored through an interactive tool, and a detailed an analayis of the findings of the most recent study in 2020 is presented.

A PDF version of a selection of the information on this page is available in our Publications database. See our wastewater analysis and drugs hub page for more information and resources on this topic.

Data explorer

In this section you can explore the data from the most recent study in 2020, as well as from previous studies. Each study reveals a picture of distinct geographical and temporal patterns of drug use across European cities. Clicking on a symbol in the graph or the map will show more detailled information for a given water treatment plant. You can also select a site from the dropdown menu.

Study year:

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* cocaine: through its metabolite benzoylecgonine (BE) and cannabis through its metabolite THC-COOH.

Notes

Please see the notes in the Source data section which include general notes, substance specific notes, as well as city-specific remarks.

Analysis: results from a European multi-city study

The findings of the largest European project to date in the emerging science of wastewater analysis are taken up in this section. The project analysed wastewater in around 80 European cities and towns (hereinafter referred to as ‘cities’) to explore the drug-taking habits of those who live in them. The results provide a valuable snapshot of the drug flow through the cities involved, revealing marked geographical variations.

Wastewater analysis is a rapidly developing scientific discipline with the potential for monitoring real-time data on geographical and temporal trends in illicit drug use. Originally used in the 1990s to monitor the environmental impact of liquid household waste, the method has since been used to estimate illicit drug consumption in different cities (Daughton, 2001; van Nuijs et al., 2011; Zuccato et al., 2008). It involves sampling a source of wastewater, such as a sewage influent to a wastewater treatment plant. This allows scientists to estimate the quantity of drugs consumed by a community by measuring the levels of illicit drugs and their metabolites excreted in urine (Zuccato et al., 2008).

Wastewater testing in European cities

In 2010, a Europe-wide network (Sewage analysis CORe group — Europe (SCORE)) was established with the aim of standardising the approaches used for wastewater analysis and coordinating international studies through the establishment of a common protocol of action ( ). The first activity of the SCORE group was a Europe-wide investigation, performed in 2011 in 19 European cities, which allowed the first ever wastewater study of regional differences in illicit drug use in Europe (Thomas et al., 2012). That study also included the first intercalibration exercise for the evaluation of the quality of the analytical data and allowed a comprehensive characterisation of the major uncertainties of the approach (Castiglioni et al., 2014). Following the success of this initial study, comparable studies were undertaken over the following years, covering 82 cities and 18 countries in the European Union in 2020. A standard protocol and a common quality control exercise were used in all locations, which made it possible to directly compare illicit drug loads in Europe over a one-week period during ten consecutive years (van Nuijs et al., 2018). Because of the impact of the COVID-19 pandemic, for the 2020 wastewater monitoring campaign, raw 24-hour composite samples were collected during a single week between March and May for most cities, rather than only during March, as is usually the case. These samples were analysed for the urinary biomarkers (i.e. measurable characteristics) of the parent drug (i.e. primary substance) for amphetamine, methamphetamine and MDMA. In addition, the samples were analysed for the main urinary metabolites (i.e. substances produced when the body breaks drugs down) of cocaine and cannabis, which are benzoylecgonine (BE) and THC-COOH (11-nor-9-carboxy-delta9-tetrahydrocannabinol).

The specific metabolite of heroin, 6-monoacetylmorphine, was found to be unstable in wastewater. Consequently, the only alternative is to use morphine, although it is not a specific biomarker and can also be excreted as a result of therapeutic use. This underlines the importance of collecting the most accurate figure for morphine use from prescription and/or sales reports.

Patterns of illicit drug use: geographical and temporal variation

2020 key findings

The project findings revealed distinct geographical and temporal patterns of drug use across European cities (see Interactive: explore the data from the study).

The annual SCORE wastewater sampling presented here, from 82 cities, showed that, overall, the loads of the different stimulant drugs detected in wastewater in 2020 varied considerably across study locations.

The BE loads observed in wastewater indicate that cocaine use remains highest in western and southern European cities, in particular in cities in Belgium, the Netherlands and Spain. Very low levels were found in the majority of the eastern European cities, with the most recent data showing some signs of increase.

The loads of amphetamine detected in wastewater varied considerably across study locations, with the highest levels being reported in cities in the north and east of Europe, as in previous years. Amphetamine was found at much lower levels in cities in the south of Europe.

In contrast, methamphetamine use, generally low and historically concentrated in Czechia and Slovakia, was also present in Cyprus, the east of Germany, Spain and northern Europe. The observed methamphetamine loads in the other locations were very low to negligible.

The highest mass loads of MDMA were found in the wastewater in cities in Belgium, Germany, the Netherlands and Slovenia.

The highest mass loads of the cannabis metabolite (THC-COOH) were found in wastewater in cities in Croatia, France and the Netherlands.

Fourteen EU countries participating in the 2020 monitoring campaign included two or more study locations (Austria, Belgium, Cyprus, Czechia, Germany, Finland, Greece, Italy, Lithuania, Netherlands, Portugal, Spain, Slovenia, Sweden). The study highlighted differences between these cities within the same country, which may be explained in part by the different social and demographic characteristics of the cities (universities, nightlife areas and age distribution of the population), Some of these differences were related to the pandemic.. In the large majority of countries with multiple study locations, BE, methamphetamine and MDMA loads were higher in large cities compared to smaller locations. No such differences could be detected for amphetamine and cannabis (THC-COOH).

In addition to geographical patterns, wastewater analysis can detect fluctuations in weekly patterns of illicit drug use. More than three-quarters of cities show higher loads of BE and MDMA in wastewater during the weekend (Friday to Monday) than during weekdays, although much of the night-time economy was closed in Europe in 2020. In contrast, amphetamine, cannabis (THC-COOH) and methamphetamine use was found to be distributed more evenly over the whole week.

Thirty-three cities have participated in at least five of the annual wastewater monitoring campaigns since 2011. This allows for time trend analysis of drug consumption based on wastewater testing. Any comparison with previous years and between cities should take into consideration the fact that wastewater samples in 2020 may have been collected when local lockdowns were in place, which might have impacted on both drug availability and drug-using habits.

Cannabis

Cannabis is Europe’s most commonly used illicit drug, with an estimated 22.2 million last year users. Cannabis use appeared to have been less affected during the pandemic lockdown periods, although differences between and within countries existed. Data from the European Web Survey on Drugs: COVID-19 (EWSD-COVID) also indicated that, among respondents, cannabis use patterns remained relatively stable during the first lockdown period, with more than two fifths (42 %) of the cannabis users who participated in the survey reporting no change in their use of the drug compared with the pre-confinement period (EMCDDA, 2020).

In wastewater, cannabis use is estimated by measuring its main metabolite, THC-COOH, which is the only suitable biomarker found so far. Although it is excreted in a low percentage and more research is still needed (Causanilles et al., 2017a), it is commonly used to report on cannabis use in the literature (Zucatto et al., 2016, Biljsma et al., 2020).

The THC-COOH loads observed in wastewater indicate that cannabis use was highest in western and southern European cities, in particular in cities in Croatia, France, Spain, the Netherlands and Portugal. Findings from wastewater analyses do not show large changes during 2020 when compared with 2019 data.

Figure 1: relative geographical distribution of cannabis metabolite as detected in European cities, 2020 (daily mean)

Bubble map showing relative cannabis metabolotie loads in wastewater. Highest bubbles appear in western and southern European cities, in particular in cities in Croatia, France, Spain, the Netherlands and Portugal."

Bubble map showing relative cannabis metabolotie loads  in wastewater. Highest bubbles appear in western and southern European cities, in particular in cities in Croatia, France, Spain, the Netherlands and Portugal.

To examine the data, use the data explorer, also available on this page. See the source data.

Cocaine

The BE loads observed in wastewater indicate that cocaine use remains highest in western and southern European cities, in particular in cities in Belgium, the Netherlands and Spain. Very low levels were found in the majority of the eastern European cities, but the most recent data show signs of increase.

Figure 2: relative geographical distribution of cocaine metabolite as detected in European cities, 2020 (daily mean)

Bubble map showing relative cocaine metabolotie loads in wastewater. Biggest bubbles appear in western and southern European cities, in particular in cities in Belgium, the Netherlands and Spain.

Bubble map showing relative cocaine metabolotie loads  in wastewater. Biggest bubbles appear in western and southern European cities, in particular in cities in Belgium, the Netherlands and Spain.

To examine the data, use the data explorer, also available on this page. See the source data.

A relatively stable picture of cocaine use was observed between 2011 and 2015 in most cities. In 2016, there were initial signs that this pattern was changing, with increases observed in the majority of cities each year since then. In 2020, trends diverged in the participating cities, with further increases in use in 19 of the 49 cities with data for 2020 and 2019, and 16 cities reporting a decrease. An overall increase is seen for all the 10 cities with data for both 2011 and 2020.

Figure 3: Aggregated trends in cocaine residues in 8 EU cities, 2011 to 2020

Trend graph. A relatively stable picture of cocaine use can be observed between 2011 and 2015. In 2016, there are initial signs that this pattern is changing, with increases observed in the majority of cities each year since then. In 2020, trends diverged in the participating cities, with further increases in use in 19 of the 49 cities with data for 2020 and 2019, and 16 cities reporting a decrease. An overall increase is seen for all the 10 cities with data for both 2011 and 2020.

NB: Trends in mean daily amounts of benzoylecgonine in milligrams per 1 000 head of population in Antwerp Zuid (Belgium) Zagreb (Croatia), Paris Seine Centre (France), Milan (Italy), Eindhoven and Utrecht (Netherlands), Castellon and Santiago (Spain). These 8 cities were selected owing to the availability of annual data from 2011 to 2020.

In the majority of countries with multiple study locations, BE (cocaine) loads were higher in large cities compared to smaller locations. In addition to geographical patterns, wastewater analysis can detect fluctuations in weekly patterns of illicit drug use. More than three-quarters of cities show higher loads of BE in wastewater during the weekend (Friday to Monday) than during weekdays, which may reflect a pattern of more recreational use.

MDMA

The highest mass loads of MDMA were found in the wastewater in cities in Belgium, Germany, the Netherlands and Slovenia.

Figure 4: relative geographical distribution of MDMA residues as detected in European cities, 2020 (daily mean)

Bubble map showing relative MDMA residue loads in wastewater. Highest loads can be seen in cities in Belgium, Germany, the Netherlands and Slovenia.

Bubble map showing relative MDMA residue loads  in wastewater. Highest loads can be seen in cities in Belgium, Germany, the Netherlands and Slovenia

To examine the data, use the data explorer, also available on this page. See the source data.

Until recently, general population surveys in many countries showed that MDMA prevalence was declining from peak levels attained in the early to mid-2000s. In recent years, however, the picture has remained mixed with no clear trends. Where prevalence is high, this may reflect MDMA no longer being a niche or subcultural drug limited to dance clubs and parties, but now being used by a broader range of young people in mainstream nightlife settings, including bars and house parties.

Looking at longer-term trends in wastewater analysis, in 7 out of the 9 cities with data for both 2011 and 2020 MDMA loads were higher in 2020 than in 2011. Sharp increases were observed in some cities, including Amsterdam, Eindhoven and Antwerp. In most cases the loads increased between 2011-16, and have fluctuated after this. In 2020, possibly due to the fact that in the majority of countries nightlife was largely closed for long periods, almost half of the cities (24 of 49) reported a decrease with 18 reporting an increase.

In the large majority of countries, MDMA loads were higher in large cities compared to smaller locations. Also, more than three-quarters of cities showed higher loads of MDMA in wastewater during the weekend (Friday to Monday) than during weekdays, reflecting the predominantly recreational use of ecstasy, although night-time economy was mostly closed.

Amphetamine and methamphetamine

Amphetamine and methamphetamine, two closely related stimulants, are both consumed in Europe, although amphetamine is much more commonly used. Methamphetamine consumption has historically been restricted to Czechia and, more recently, Slovakia, although recent years have seen increases in use in other countries.

The loads of amphetamine detected in wastewater varied considerably across study locations, with the highest levels reported in cities in the north and east of Europe. Amphetamine was found at much lower levels in cities in the south of Europe.

Figure 5: relative geographical distribution of amphetamine residues as detected in European cities, 2020 (daily mean)

Bubble map showing relative amphetamine residue loads in wastewater. Highest loads can be seen in cities in the north and east of Europe

Bubble map showing relative amphetamine residue loads  in wastewater. Highest loads can be seen in cities in the north and east of Europe

To examine the data, use the data explorer, also available on this page. See the source data.

In contrast, methamphetamine use, generally low and historically concentrated in Czechia and Slovakia, now appears to be present also in Cyprus, the east of Germany, Spain and several northern European countries (Denmark, Finland, Lithuania, Norway). The observed methamphetamine loads in the other locations were very low to negligible.

Figure 6: relative geographical distribution of methamphetamine residues as detected in European cities, 2020 (daily mean)

Bubble map showing relative methamphetamine residue loads in wastewater. Highest loads can be seen in Czechia and Slovakia, Cyprus, the east of Germany, Spain and several northern European countries (Denmark, Finland, Lithuania, Norway).

Bubble map showing relative methamphetamine residue loads  in wastewater. Highest loads can be seen in Czechia and Slovakia, Cyprus, the east of Germany, Spain and several northern European countries (Denmark, Finland, Lithuania, Norway)

To examine the data, use the data explorer, also available on this page. See the source data.

Overall, the data related to amphetamine and methamphetamine from the ten monitoring campaigns showed no major changes in the general patterns of use observed. In 2020, the most recent data show that 20 of the 48 cities with data for 2019 and 2020 reported an increase for amphetamine and 19 cities a decrease. For methamphetamine use, the 2020 data show that 15 of the 50 cities with data for 2019 and 2020 reported an increase and 21 cities a decrease in the loads found.

Figure 7: Aggregated trends in methamphetamine residues in 5 EU cities, 2011 to 2020

Trend graph. Peak values are at the extremes of the graph — in 2011 and 2019 and 2020. Values for years between 2012 and 2018 are considerably lower.

NB: Trends in mean daily amounts of methamphetamine in milligrams per 1 000 head of population in Antwerp Zuid (Belgium), Paris Seine Centre (France), and Milan (Italy), Castellon and Santiago (Spain). These 5 cities were selected owing to the availability of annual data from 2011 to 2020.

In 2020, amphetamine and methamphetamine use were found to be distributed more evenly over the whole week than in previous years, possibly reflecting the use of these drugs being associated with more regular consumption by a cohort of high-risk users.

Comparison with findings from other monitoring tools

Because different types of information are provided by wastewater analysis (collective consumption of substances within a community) and by established monitoring tools, such as population surveys (prevalence in the last month or year), a direct comparison of the data is difficult. However, the patterns and trends being detected by wastewater analysis are largely, but not completely, in line with the analyses coming from other monitoring tools.

For example, both seizure and wastewater data present a picture of a geographically divergent stimulant market in Europe, where cocaine is more prevalent in the south and west, while amphetamines are more common in central and northern countries (EMCDDA, 2017). Similar results are also found in data coming from population surveys on drug use. While the general pattern detected in wastewater is in line with established monitoring tools, there are some exceptions.

Data from established indicators show that methamphetamine use have historically been restricted to Czechia, and more recently also Slovakia, although recent years have seen increased use in other countries (EMCDDA, 2016a). These findings have been confirmed by recent wastewater-based epidemiology, with the highest methamphetamine loads found in Czech, Slovak, German and Finnish cities.

Similarly, studies based on self-reported drug use and those using wastewater data both point towards the same weekly variations in use, with stimulants such as amphetamine and cocaine being primarily used at weekend music events and in celebratory contexts (Tossmann et al., 2001).

A limited but steadily increasing number of studies have been published comparing drug use estimates obtained through wastewater analysis and estimates provided by epidemiological surveys (EMCDDA, 2016b; van Wel et al., 2015). While in 2012 only one reported study tried to evaluate sewage analysis alongside traditional epidemiological techniques (Reid et al., 2012), this number has now increased considerably in recent years.

A first study, performed in Oslo, Norway, and published in 2012, compared the results from three different datasets (a general population survey, a roadside survey and wastewater analysis) (Reid et al., 2012).

Other studies compare and correlate wastewater-based consumption estimates of illicit drugs with other data sources, including self-reported data (Been et al., 2015; Castiglioni et al., 2016; van Wel et al., 2016a), consumption offences (Been et al., 2016a), illicit drug seizures (Baz-Lomba et al., 2016; Kankaanpää et al., 2014, 2016), purity of drug seizures (Bruno et al., 2018), syringe distribution estimates (Been et al., 2015), toxicological data (Kankaanpää et al., 2014, 2016) and the number of drug users in treatment (Krizman et al., 2016).

The majority of comparative studies have been carried out within European countries, including Belgium (van Wel et al., 2016a), Croatia (Krizman et al., 2016), Germany (Been et al., 2016a), Finland (Kankaanpää et al., 2014, 2016), Italy (Castiglioni et al., 2016), Spain (Bijlsma et al., 2018), Switzerland (Been et al., 2015; Been et al., 2016b), Turkey (Daglioglu, 2019), and across European countries (Baz-Lomba et al., 2016; Castrignanò et al., 2018; Löve et al., 2018). Outside Europe, in recent years studies have been published comparing wastewater-based estimates with other data sources in China (Du et al., 2015), Australia (Tscharke et al., 2015) and in countries where data on drug use are limited due to financial constraints or lack of monitoring tools (Archer et al., 2018; Moslah et al., 2018; Nguyen et al., 2018).

These examples confirm the promising future of wastewater-based epidemiology as a complementary approach to obtain a more accurate and balanced picture of substance use within different communities. Wastewater analysis can predict results from population surveys and can be used as a ‘first alert’ tool in the identification of new trends in drug consumption. In order to check the quality and accuracy of data, further comparisons between wastewater analysis and data obtained through other indicators are needed.

Limitations of this method

Wastewater analysis offers an interesting complementary data source for monitoring the quantities of illicit drugs used at the population level, but it cannot provide information on prevalence and frequency of use, main classes of users and purity of the drugs. Additional challenges arise from uncertainties associated with the behaviour of the selected biomarkers in the sewer, different back-calculation methods and different approaches to estimate the size of the population being tested (Castiglioni et al., 2013, 2016; EMCDDA, 2016b; Lai et al., 2014). The caveats in selecting the analytical targets for heroin, for example, make monitoring this drug in wastewater more complicated compared to other substances (Been et al., 2015). Also, the purity of street products fluctuates unpredictably over time and in different locations. Furthermore, translating the total consumed amounts into the corresponding number of average doses is complicated, as drugs can be taken by different routes and in amounts that vary widely, and purity levels fluctuate (Zuccato et al., 2008).

Efforts are being made to enhance wastewater monitoring approaches. For example, work has been undertaken on overcoming a major source of uncertainty related to estimating the number of people present in a sewer catchment at the time of sample collection. This involved using data from mobile devices to better estimate the dynamic population size for wastewater-based epidemiology (Thomas et al., 2017).

New developments and the future

Wastewater-based epidemiology has established itself as an important tool for monitoring illicit drug use and future directions for wastewater research have been explored (EMCDDA, 2016b).

First, wastewater analysis has been proposed as a tool to address some of the challenges related to the dynamic new psychoactive substances (NPS) market. This includes the large number of individual NPS, the relatively low prevalence of use and the fact that many of the users are actually unaware of exactly which substances they are using. A technique has been established to identify NPS that involves the collection and analysis of pooled urine from stand-alone portable urinals from nightclubs, city centres and music festivals, thereby providing timely data on exactly which NPS are currently in use at a particular location (Archer et al., 2013a, 2013b, 2015; Causanilles et al., 2017b; Kinyua, et al., 2016; Mackulak et al., 2019; Mardal et al., 2017; Reid et al., 2014;). The European project ‘NPS euronet’ aimed to improve the capacity to identify and assess the NPS being used in Europe. The project applied innovative analytical chemical and epidemiological methods and a robust risk-assessment procedure to improve the identification of NPS, to assess risks, and to estimate the extent and patterns of use in specific groups (e.g. at music festivals) and among the general population (Bade et al., 2017; González-Mariño et al., 2016).

Second, in addition to estimating illicit drug use, wastewater-based epidemiology has been successfully applied in recent years to providing detailed information on the use and misuse of alcohol (Boogaerts et al., 2016; Mastroianni et al., 2017; Rodríguez-Álvarez et al., 2015), tobacco (Senta et al., 2015; van Wel et al., 2016b) and medicines in a specific population (Baz-Lomba et al., 2016, 2017; Been et al., 2015; Krizman-Matasic et al., 2018). Furthermore, wastewater analysis can potentially provide information on health and illness indicators within a community (Kasprzyk-Hordern et al., 2014; Thomaidis et al., 2016; Yang et al., 2015).

Third, the potential for wastewater-based epidemiology to be used as an outcome measurement tool, in particular in the evaluation of the effectiveness of interventions that target drug supply (e.g. law enforcement) or drug demand (e.g. public health campaigns) has not yet been fully explored. Close collaboration between the different stakeholders involved, including epidemiologists, wastewater experts and legal authorities, is highly recommended in order to start examining these potential wastewater-based epidemiology applications (EMCDDA, 2016b). The WATCH project included a 30-day synthetic drug production monitoring campaign in three cities in Belgium and the Netherlands. High levels of MDMA were recorded during the whole monitoring period in one city in the Netherlands, suggesting continuous discharges of unconsumed MDMA from sources within the wastewater catchment area, indicating drug production was taking place in this region.

Fourth, by back-calculating the daily sewer loads of target residues, wastewater analysis can provide total consumption estimates, and specific efforts are now being directed towards finding the best procedures for estimating annual averages. In 2016 the EMCDDA presented for the first time illicit drug retail market size estimates in terms of quantity and value for the main substances used (EMCDDA and Europol, 2016). It is envisaged that findings from wastewater analysis can help to further develop work in this area.

Finally, new methods such as enantiomeric profiling have been developed to determine if mass loads of drugs in wastewater originated from consumption or from the disposal of unused drugs or production waste. It is now important to assess the possible utility of wastewater analysis to report on drug supply dynamics, including synthetic drug production (Emke et al., 2014). For example, recent malfunctioning of a small wastewater treatment plant in the Netherlands was caused by direct discharges in the sewage system of chemical waste from a drug production site. Further analysis revealed the actual synthesis process used to manufacture the corresponding drugs. The study confirmed that the chemical waste from the illegal manufacturing of stimulants will result in a specific chemical fingerprint that can be tracked in wastewater and used for forensic purposes. Such profiles can be used to identify drug production or synthesis waste disposal in the wastewater catchment area (Emke et al., 2018).

Wastewater analysis has demonstrated its potential as a useful complement to established monitoring tools in the drugs area. It has some clear advantages over other approaches as it is not subject to response and non-response bias and can better identify the true spectrum of drugs being consumed, as users are often unaware of the actual mix of substances they take. This tool also has the potential to provide timely information in short timeframes on geographical and temporal trends. In order to check the quality and accuracy of data, further comparisons between wastewater analysis and data obtained through other indicators are needed.

As a method, wastewater analysis has moved from being an experimental technique to being a new method in the epidemiological toolkit. Its rapid ability to detect new trends can help target public health programmes and policy initiatives at specific groups of people and the different drugs they are using.

References

Archer, J. R. H., Dargan, P. I., Hudson, S. and Wood, D. M. (2013a), ‘Analysis of anonymous pooled urinals in central London confirms the significant use of novel psychoactive substances’, QJM 106(2), pp. 147–152.

Archer, J. R. H., Hudson, S., Wood, D. M. and Dargan, P. I. (2013b), ‘Analysis of urine from pooled urinals: A novel method for the detection of novel psychoactive substances’, Current Drug Abuse Reviews 6(2), pp. 86–90.

Archer, J. R. H., Hudson, S., Jackson, O. (2015), ‘Analysis of anonymized pooled urine in nine UK cities: variation in classical recreational drug, novel psychoactive substance and anabolic steroid use’, QJM, 108 (12), pp. 929–933.

Archer, E., Castrignanò, E., Kasprzyk-Hordern, B., Wolfaardt, G. M. (2018), ‘Wastewater-based epidemiology and enantiomeric profiling for drugs of abuse in South African wastewaters’, Science of the Total Environment 625, pp.792–800.

Bade, R., Bijlsma, L., Sancho, J. et al. (2017), ‘Liquid chromatography-tandem mass spectrometry determination of synthetic cathinones and phenethylamines in influent wastewater of eight European cities’, Chemosphere 168, pp.10321–10041.

Baz-Lomba, J. A., Salvatore, S., Gracia-Lor, E., et al. (2016), ‘Comparison of pharmaceutical, illicit drug, alcohol, nicotine and caffeine levels in wastewater with sale, seizure and consumption data for 8 European cities’, BMC Public Health 16(1), 1035.

Baz-Lomba, J. A., Harman, C., Reid, M. and Thomas, K. V. (2017), ‘Passive sampling of wastewater as a tool for the long-term monitoring of community exposure: Illicit and prescription drug trends as a proof of concept’, Water Research 121, pp. 221–230.

Been, F., Benaglia, L., Lucia, S., et al. (2015), ‘Data triangulation in the context of opioids monitoring via wastewater analyses’, Drug and Alcohol Dependence 151, pp. 203–210.

Been, F., Bijlsma, L., Benaglia, L., et al. (2016a), ‘Assessing geographical differences in illicit drug consumption: A comparison of results from epidemiological and wastewater data in Germany and Switzerland’, Drug and Alcohol Dependence 161, pp. 189–199.

Been, F., Schneider, C., Zobel, F., Delémont, O. and Esseiva, P. (2016b), ‘Integrating environmental and self-report data to refine cannabis prevalence estimates in a major urban area of Switzerland’, International Journal of Drug Policy, 36, pp. 33–40.

Bijlsma, L., Burgard, D., Been, F., et al. (2020), ‘The estimation of cannabis consumption through wastewater analysis’, Comprehensive Analytical Chemistry, 90, pp. 453–482.

Bijlsma, L., Celma, A., González-Mariño, I., et al. (2018), ‘Wastewater-based epidemiology: applications towards the estimation of drugs of abuse consumption and public health in general. The Spanish network ESAR-Net’, Revista Espanola de Salud Publica, 92. pii:e201808053.

Boogaerts, T., Covaci, A., Kinyua, J., et al. (2016), ‘Spatial and temporal trends in alcohol consumption in Belgian cities: A wastewater-based approach’, Drug and Alcohol Dependence 160, pp. 170–176.

Bruno, R., Edirisinghe, M., Hal,l W., Mueller, J. F., Lai, F.Y., O'Brien, J. W., Thai, P. K. (2018), ‘Association between purity of drug seizures and illicit drug loads measured in wastewater in a South East Queensland catchment over a six year period’, Science of the Total Environment 635, pp. 779–783.

Castiglioni, S., Bijlsma, L., Covaci, A., et al. (2013),‘Evaluation of uncertainties associated with the determination of community drug use through the measurement of sewage drug biomarkers’, Environmental Science and Technology 47(3), pp. 1452–1460.

Castiglioni, S., Thomas, K. V., Kasprzyk-Hordern, B., Vandam, L. and Griffiths, P. (2014), ‘Testing wastewater to detect illicit drugs: State of the art, potential and research needs’, Science of the Total Environment 487, pp. 613–620.

Castiglioni, S., Borsotti, A., Riva, F. and Zuccato, E. (2016), ‘Illicit drug consumption estimated by wastewater analysis in different districts of Milan: A case study’, Drug and Alcohol Review 35, pp. 128–132.

Castrignanò, E., Yang, Z., Bade, R., et al. (2018), ‘Enantiomeric profiling of chiral illicit drugs in a pan-European study’, Water Research 130, pp.151–160.

Causanilles, A., Baz-Lomba, J. A., Burgard, D. A., et al. (2017a), ‘Improving wastewater-based epidemiology to estimate cannabis use: Focus on the initial aspects of the analytical procedure’, Analytica Chimica Acta 988, pp. 27–33.

Causanilles, A., Kinyua, J., Ruttkies, C., et al. (2017b), ‘Qualitative screening for new psychoactive substances in wastewater collected during a city festival using liquid chromatography coupled to high-resolution mass spectrometry’, Chemosphere 184, pp. 1186–1193.

Daglioglu, N., Guzel, E. Y., Kilercioglu, S. (2019), ‘Assessment of illicit drugs in wastewater and estimation of drugs of abuse in Adana Province, Turkey’, Forensic Science International 294, pp.132–139.

Daughton, C. G. (2001), ‘Emerging pollutants, and communicating the science of environmental chemistry and mass spectrometry: Pharmaceuticals in the environment’, American Society for Mass Spectrometry 12, pp. 1067–1076.

Du, P. (2015), ‘Methamphetamine and ketamine use in major Chinese cities, a nationwide reconnaissance through sewage-based epidemiology’, Water Research 84, pp. 76–84.

EMCDDA (2016a), European drug report: Trends and developments, Publications Office of the European Union, Luxembourg.

EMCDDA (2016b), Assessing illicit drugs in wastewater: Advances in wastewater-based drug epidemiology, Publications Office of the European Union, Luxembourg.

EMCDDA (2017), European Drug Report: Trends and Developments, Publications Office of the European Union, Luxembourg.

EMCDDA (2020), EMCDDA trendspotter briefing: impact of COVID-19 on patterns of drug use and drug-related harms in Europe, EMCDDA, Lisbon.

EMCDDA and Europol (2016), EU Drug Markets Report, Publications Office of the European Union, Luxembourg.

Emke, E., Evans, S., Kasprzyk-Hordern, B. and de Voogt, P. (2014), ‘Enantiomer profiling of high loads of amphetamine and MDMA in communal sewage: A Dutch perspective’, Science of The Total Environment 487, pp. 666–672.

Emke, E., Vughs, D., Kolkman, A. and de Voogt, P. (2018), ‘Wastewater-based epidemiology generated forensic information: amphetamine synthesis waste and the impact on a small sewage treatment plant’ Forensic Science International 286, e1–e7.

González-Mariño, I., Gracia-Lor, E., Rousis, N., et al. (2016), ‘Wastewater-based epidemiology to monitor synthetic cathinones use in different European countries’, Environmental Science and Technology. 50, pp.10089−10096.

Kankaanpää, A., Ariniemi K., Heinonen M., et al. (2014), ‘Use of illicit stimulant drugs in Finland: A wastewater study in ten major cities’, Science of the Total Environment 487, pp. 696–702.

Kankaanpää, A., Ariniemi, K., Heinonen, M., Kuoppasalmi, K. and Gunnar, T. (2016), ‘Current trends in Finnish drug abuse: Wastewater based epidemiology combined with other national indicators’, Science of the Total Environment, 568, pp. 864–874.

Kasprzyk-Hordern, B., Bijlsma, L., Castiglioni, S., et al. (2014), ‘Wastewater-based epidemiology for public health monitoring’, Water and Sewerage Journal, 4, pp. 25–26.

Kinyua, J., Negreira, N., Miserez, B., et al. (2016), ‘Qualitative screening of new psychoactive substances in pooled urine samples from Belgium and United Kingdom’, Science of the Total Environment, 573, pp. 1527–1535.

Krizman, I., Senta, I., Ahel, M. and Terzic, S. (2016), ‘Wastewater-based assessment of regional and temporal consumption patterns of illicit drugs and therapeutic opioids in Croatia’, Science of the Total Environment, 566/567, pp. 454–462.

Krizman-Matasic, I., Kostanjevecki, P., Ahel, M. and Terzic, S. (2018), ‘Simultaneous analysis of opioid analgesics and their metabolites in municipal wastewaters and river water by liquid chromatography-tandem mass spectrometry’, Journal of Chromatography A 19, pp.102–111.

Lai, F. Y., Anuj, S., Bruno, R., et al. (2014), ‘Systematic and day-to-day effects of chemical-derived population estimates on wastewater-based drug epidemiology’, Environmental Science and Technology 49, pp. 999–1008.

Löve A. S. C., Baz-Lomba, J. A., Reid, M., et al. (2018), ‘Analysis of stimulant drugs in the wastewater of five Nordic capitals’, Science of the Total Environment 627, pp.1039–1047.

Mackuľak, T., Brandeburová, P., Grenčíková, A., Bodík, I., Staňová, A.V., Golovko, O., Koba, O., Mackuľaková, M., Špalková, V., Gál, M. and Grabic, R. (2019), ‘Music festivals and drugs: Wastewater analysis’, Science of the Total Environment 659, pp. 326–334.

Mardal, M., Kinyua, J., Ramin, P., et al. (2017), ‘Screening for illicit drugs in pooled human urine and urinated soil samples and studies on the stability of urinary excretion products of cocaine, MDMA, and MDEA in wastewater by hyphenated mass spectrometry techniques’, Drug Testing and Analysis 9, pp. 1061–1014.

Mastroianni, N., López-García, E., Postigo, C., et al. (2017), ‘Five-year monitoring of 19 illicit and legal substances of abuse at the inlet of a wastewater treatment plant in Barcelona (NE Spain) and estimation of drug consumption patterns and trends’, Science of the Total Environment 609, pp. 916–926.

Moslah, B., Hapeshi, E., Jrad, A., Fatta-Kassinos, D. and Hedhili, A. (2018), ‘Pharmaceuticals and illicit drugs in wastewater samples in north-eastern Tunisia’, Environmental Science and Pollution Research International 25(19), pp. 18226–18241.

Nguyen, H.T., Thai, P.K., Kaserzon, S.L., O' Brien J. W., Eaglesham, G. and Mueller J. F. (2018), ‘Assessment of drugs and personal care products biomarkers in the influent and effluent of two wastewater treatment plants in Ho Chi Minh City, Vietnam’, Science of the Total Environment 631–632, pp.469–475.

Reid, M. J., Langford, K. H., Grung, M., et al. (2012), ‘Estimation of cocaine consumption in the community: A critical comparison of the results from three complimentary techniques’, BMJ Open, 2(6):e001637.

Reid, M. J., Baz-Lomba, J. A., Ryu, Y. and Thomas, K. V. (2014), ‘Using biomarkers in wastewater to monitor community drug use: A conceptual approach for dealing with new psychoactive substances’, Science of the Total Environment 487, pp. 651–658.

Rodríguez-Álvarez, T., Racamonde, I., González-Mariño, I., et al. (2015), ‘Alcohol and cocaine co-consumption in two European cities assessed by wastewater analysis’, Science of the Total Environment 536, pp. 91–98.

Senta, I., Gracia-Lor, M., Borsotti, A., et al. (2015), ‘Wastewater analysis to monitor use of caffeine and nicotine and evaluation of their metabolites as biomarkers for population size assessment’, Water Research 74, pp. 23–33.

Thomaidis, N., Gago-Ferrero, P., Ort, C., et al. (2016), ‘Reflection of socioeconomic changes in wastewater: licit and illicit drug use patterns’, Environmental Science and Technology 50(18), pp.10065–10072.

Thomas, K. V., Bijlsma, L., Castiglioni, S., et al. (2012), ‘Comparing illicit drugs use in 19 European cities through sewage analysis’, Science of the Total Environment 432, pp. 432–439.

Thomas, K. V., Amador, A., Baz-Lomba, J. A. and Reid, M. (2017), ‘Use of mobile device data to better estimate dynamic population size for wastewater-based epidemiology’, Environmental Science and Technology 51(19), pp.11363–11370.

Tossmann, P., Boldt, S. and Tensil, M.-D. (2001), ‘The use of drugs within the techno party scene in European metropolitan cities’, European Addiction Research 7(1), pp. 2–23.

Tscharke, B. J., Chen, C., Gerber, J. P. and White, J. M. (2015), Trends in stimulant use in Australia: A comparison of wastewater analysis and population surveys’, Science of the Total Environment 536, pp. 331–337.

van Nuijs, A., Mougel, J.-F., Tarcomnicu, I., et al. (2011), ‘Sewage epidemiology: A real-time approach to estimate the consumption of illicit drugs in Brussels, Belgium’, Environment International 27, pp. 612–621.

van Nuijs, A., Lai, Y., Been, F., et al. (2018), ‘Multi-year inter-laboratory exercises for the analysis of illicit drugs and metabolites in wastewater: Development of a quality control system’, Trends in Analytical Chemistry 103, pp. 34–43.

van Wel, J., Kinyua, J., van Nuijs, A., van Hal, G. and Covaci, A. (2015), ‘Methodological considerations for combining wastewater-based epidemiology with survey research’, Archives of Public Health 73, Suppl. 1, p. 29.

van Wel, J, H. P., Kinyua, J., van Nuis, A. L. N., et al. (2016a), ‘A comparison between wastewater-based drug data and an illicit drug use survey in a selected community’, International Journal of Drug Policy 34, pp. 20–26.

van Wel, J. H. P., Gracia-Lor, E., van Nuijs, A. L. N., et al. (2016b), ‘Investigation of agreement between wastewater-based epidemiology and survey data on alcohol and nicotine use in a community’, Drug and Alcohol Dependence 162, pp. 170–175.

Yang, Z., Anglès d’Auriac, M., Goggins, S., et al. (2015), ‘A novel DNA biosensor using a ferrocenyl intercalator applied to the potential detection of human population biomarkers in wastewater’, Environmental Science and Technology 49(9), pp. 5609–5617.

Zuccato, E., Castiglioni, S., Senta, I., Borsotti, A., et al. (2016), ‘Population surveys compared with wastewater analysis for monitoring illicit drug consumption in Italy in 2010–2014’, Drug and Alcohol Dependence 161, pp. 178–188.

Zuccato, E., Chiabrando, C., Castiglioni, S., Bagnati, R. and Fanelli, R. (2008), ‘Estimating community drug abuse by wastewater analysis’, Environmental Health Perspectives 116(8), pp. 1027–1032.
 

Terms and definitions

In addition to the glossary below, see also Frequently-asked questions on wastewater-based epidemiology and drugs.

Back-calculation 

Back-calculation is the process whereby researchers calculate/estimate the consumption of illicit drugs in the population based on the amounts of the target drug residue entering the wastewater treatment plant.

LC-MS/MS

Liquid chromatography–tandem mass spectrometry (LC-MS/MS) is the analytical method most commonly used to quantify drug residues in wastewater. LC-MS/MS is an analytical chemistry technique that combines the separation techniques of liquid chromatography with the analysis capabilities of mass spectrometry. Considering the complexity and the low concentrations expected in wastewater, LC-MS/MS is one of the most powerful techniques for this analysis, because of its sensitivity and selectivity.

Metabolite

Traces of drugs consumed will end up in the sewer network either unchanged or as a mixture of metabolites. Metabolites, the end products of metabolism, are the substances produced when the body breaks drugs down.

Residue

Wastewater analysis is based on the fact that we excrete traces in our urine of almost everything we consume, including illicit drugs. The target drug residue is what remains in the wastewater after excretion and is used to quantify the consumption of illicit drugs in the population.

Urinary biomarkers

Analytical chemists look for urinary biomarkers (measurable characteristics to calculate population drug use) in wastewater samples, which can be the parent drug (i.e. the primary substance) or its urinary metabolites.

Enantiomeric profiling

Enantiomeric profiling is an analytical chemistry technique used to determine if studied drugs in wastewater originate from consumption or direct disposal (eq. production waste). It is based on the fact that chiral molecules (if only one chiral centre is present) exist as two enantiomers (opposite forms) which are non-superimposable mirror images of each other. As the enantiomeric ratio will change after human metabolism, the enantiomeric fraction can be used to determine whether the studied drugs in wastewater originate from consumption.

Methods and ethical considerations

In order to estimate levels of drug use from wastewater, researchers attempt first to identify and quantify drug residues, and then to back-calculate the amount of the illicit drugs used by the population served by the sewage treatment plants (Castiglioni et al., 2014). This approach involves several steps (see figure). Initially, composite samples of untreated wastewater are collected from the sewers in a defined geographical area. The samples are then analysed to determine the concentrations of the target drug residues. Following this, the drug use is estimated through back-calculation by multiplying the concentration of each target drug residue (nanogram/litre) with the corresponding flow of sewage (litre/day). A correction factor for each drug is taken into account as part of the calculation. In a last step, the result is divided by the population served by the wastewater treatment plant, which shows the amount of a substance consumed per day per 1 000 inhabitants. Population estimates can be calculated using different biological parameters, census data, number of house connections, or the design capacity, but the overall variability of different estimates is generally very high.

Image shows steps in sampling process for wastewater. Step 1. Sample collection (composite 24 hour samples). Step 2. Sample analysis to obtain the concentrations of the target residues (Flow rate in cubic metres per day). Step 3. Amount of target residues entering the treatment plant in grams per day. Human metabolism correction factors are applied. Step 4. Calculate amount of substance consumed by the population served by the treatment plant, based on population estimates. Step 5. Normalisation of the amount of substance to a defined population in g or mg per day per 1000 inhabitants. Step 6. To calculte mean doses, final value is expressed as doses per day per 1000 inhabitants.

Although primarily used to study trends in illicit drug consumption in the general population, wastewater analysis has also been applied to small communities, including workplaces, schools (Zuccato et al., 2017), music festivals, prisons (Nefau et al., 2017) and specific neighbourhoods (Hall et al., 2012).

Using this method in small communities can involve ethical risks (Prichard et al., 2014), such as possible identification of a particular group within the community.

In 2016 the SCORE group published ethical guidelines for wastewater-based epidemiology and related fields (Prichard et al., 2016). The objective of these guidelines is to outline the main potential ethical risks for wastewater research and to propose strategies to mitigate those risks. Mitigating risks means reducing the likelihood of negative events and/or minimising the consequences of negative events.

Find out more

Source data

Notes

Source data tables

General notes

  • Population-normalised loads: All values indicate the amount of drug residues quantified in raw sewage. No values were corrected with excretion factors.
  • Cities with multiple sewage treatment plants (STPs): The numbers or letters in brackets specifies the STPs, which provided data for the corresponding city in this study. E.g. Berlin (4) indicates the population-weighted average of four different STPs in the city of Berlin.
  • Values below limit of quantification: Values below the method limit of quantification are indicated as zero.
  • In 2020, European countries experienced the emergence of the coronavirus disease (COVID-19) to a different extent and time. Significant differences between and within countries existed in the duration and nature of the COVID-19 (de)confinement measures and in the dates, which will have had different impacts on drug availability and use for each country. While wastewater analysis provides insights on drug use habits during the COVID-19 pandemic, it also challenges the way the 2020 data can be compared with previous years as it should be noted that the participating cities had different lockdown periods and restrictive measures in place. Additional and complementary data are indeed needed to fully understand the impact on the patterns of drug use.

Using the data

  • The data may be re-used in your own work provided the source (EMCDDA and SCORE) are acknowledged.
  • The data sets are presented by year and substance. Each data table is available to view in HTML and as a download (CSV format).
  • In additionl to data values, a site information table is provided with information on the treatment plants where the measurements were made. Each site is identified with a unique arbitrary ID ('SiteID') which provides information on the location of the site. the institution responsible, and the approximate population served (the population values presented are indicative only and not necessarily the ones used at the time of the collection). This ID is refered to in each data table.

Substance-specific remarks

  • Benzoylecgonine: this is the main excreted metabolite of cocaine.
  • THC-COOH: this is the main excreted metabolite of cannabis

City-specific remarks

  • Berlin: when merging the data for the four plants, it was taken into account the fact that no samples were collected in Berlin M in 2014 for Saturday and Sunday, in 2015 for Sunday and Monday, in 2018 for Saturday; for Berlin R in 2017 for Sunday and Monday.
  • Bordeaux: when merging the data for the two plants, it was taken into account the fact that no sample was collected on Wednesday in Bordeaux II in 2018.
  • Bratislava: in 2017 the method of estimating the population has changed (mobile phone connections, including non-permanent residents such as students) compared to previous years (based on census for permanent residents, de jure population).
  • Erfurt: in 2020 no sample was collected on Friday, consequently week and weekend means were calculated respectively on six and three days.
  • Eindhoven: exhibited high values for MDMA in 2012, 2013 and 2014, which was likely due to the release of unconsumed MDMA into the sewer system. Moreover, Eindhoven exhibited very high values for amphetamine in 2013 (Ort et al., 2014). In 2018 abnormal values of MDMA and amphetamine on Monday and Tuesday were not used for the calculation of weekend/weekday means because they were influenced by discharges of unconsumed MDMA and amphetamine. Methamphetamine and amphetamine 2019 results are not shown due to abnormal values probably caused by the release of unconsumed substances into the sewer system.
  • Eleusis: in 2020 no sample was collected on Tuesday, while samples were collected on two Wednesday; consequently, the weekly averages were calculated using the samples of two Wednesday and no Tuesday.
  • Geneva: in 2019 no sample was collected on Sunday, consequently week and weekend means were calculated respectively on six and three days.
  • Hamburg: in 2020 no sample was collected on Monday, Wednesday, Friday and Saturday, while samples were collected on two Tuesdays and two Thursdays; consequently, the weekly averages were calculated using the samples of two Tuesdays, two Thursdays and a Sunday; the weekdays means were calculated using the samples of two Tuesdays and one Thursday; the weekend means were calculated using the samples of the Sunday only.
  • Istanbul: results labelled “Istanbul I” represents a population of less than 1 % (69,000 people) of the Greater Istanbul population. Results labelled “Istanbul II-VII” are based on six other STPs covering a population of approx. 16.5mio people.
  • Koper: in 2020 no sample was collected on Sunday, consequently week and weekend means were calculated respectively on six and three days.
  • Ljubljana: exhibited very high values for MDMA in the 2020 sample of Tuesday, which is responsible of a higher weekly and weekdays means. Nevethless, that value was included in the analysis as there were no indications of a problem in the sampling and there was no indication that it was due to the release of unconsumed MDMA into the sewer system.
  • Madrid: results are based on one of multiple STPs, covering approximately 10 % of the population. Due to working activities at the waste water plant in the sampling period of 2018 part of the normal flow was redirected towards another treatment plant; for this reason the population used for normalization of 2018 results was lower (n=227,869).
  • Milan: in 2020 no sample was collected on Monday, Wednesday and Thursday, while samples were collected on two Tuesdays; consequently, the weekly averages were calculated using the samples of two Tuesdays, a Friday, a Saturday and a Sunday; the weekdays means were calculated using the samples of two Tuesdays; the weekend means were calculated using the samples of a Friday, a Saturday and a Sunday only.
  • Munich Gut_Grosslappen: in 2020 no sample was collected on Thursday and Friday, consequently week, weekdays and weekend means were calculated respectively on five, two and three days.
  • Saarbrucken: data for 2018 derive from the merging of two plants for all substances but methamphetamine, for which values were above the level of quantification in one STP only.
  • Santiago: in 2019 no sample was collected on Thursday, while samples were collected on two Tuesdays; consequently the weekly averages were calculated using the samples of two Tuesdays and no Thursdays.
  • St. Gallen: in 2020 no sample was collected on Sunday, consequently week and weekend means were calculated respectively on six and three days.
  • Stockholm: results labelled “Stockholm (2)” reflect the population-weighted average of two separate inlets from two Stockholm catchments, treated in the same STP. In 2019 samples were collected during one week in April and one week in October; the 2019 results presented are an average of the two weeks.
  • Velenje: in 2019 no sample was collected on Thursday, while samples were collected on two Tuesdays; consequently the weekly averages were calculated using the samples of two Tuesdays and no Thursdays.
  • Zagreb: exhibited very high values for amphetamine in the 2020 samples of Tuesday and Thursday, which are responsible of the high weekly and weekdays means. Nevethless, those values were included in the analysis as there were no indications of a problem in the sampling and there was no indication that it was due to the release of unconsumed amphetamine into the sewer system.

Wastewater sampling sites information

Download as CSV

Wastewater sampling sites information
SiteID country city location latitude longitude Approximate population served Institution Website
site1 AT Graz ARA Graz 47.070713 15.439504 487040   https://biomassspec.gmi.tirol/
site2 AT Hall-Wattens Abwasserverband Hall in Tirol-Fritzens 47.29168 11.59284 78180   https://biomassspec.gmi.tirol/
site3 AT Innsbruck ARA-Innsbruck 47.269212 11.404102 251656 Institute of Legal Medicine and Core Facility Metabolomics https://biomassspec.gmi.tirol/
site4 AT Kapfenberg Kläranlage Kapfenberg 47.443562 15.2901 31032   https://biomassspec.gmi.tirol/
site5 AT Klosterneuburg Klosterneuburg 48.309866 16.323772 30000 Insitute for Water quality, Resource and Waste management https://biomassspec.gmi.tirol/
site6 AT Kufstein Abwasserverband Kufstein 47.582958 12.17077 41688   https://biomassspec.gmi.tirol/
site7 AT Mürzzuschlag Kläranlage Langenwang 47.566639 15.6182 30200   https://biomassspec.gmi.tirol/
site8 AT Purgstall GAV Erlauftal 48.057812 15.13545 7774   https://biomassspec.gmi.tirol/
site9 AT Region Millstattersee Wasserverband Millstaettersee 46.81924 13.52146 75500 Institute of Legal Medicine and Core Facility Metabolomics https://biomassspec.gmi.tirol/
site10 AT Strass im Zillertal AIZ Abwasserverband 47.395748 11.82211 135458   https://biomassspec.gmi.tirol/
site11 AT Wasserverband Hofsteig ARA Hofsteig 47.4852 9.6762 107000 Institute of Legal Medicine and Core Facility Metabolomics https://biomassspec.gmi.tirol/
site12 BA Sarajevo Butile 43.87 18.29 130000 Hydro-Engineering Institute Sarajevo http://www.heis.com.ba/
site13 BE Antwerp Deurne Deurne 51.22 4.46 213876 Toxicological Center, University of Antwerp https://www.uantwerpen.be/en/rg/tox/
site14 BE Antwerp Zuid Antwerpen-Zuid 51.2 4.39 130218 Toxicological Center, University of Antwerp https://www.uantwerpen.be/en/rg/tox/
site15 BE Boom Boom 51.08608 4.36633 30600 Toxicological Center, University of Antwerp https://www.uantwerpen.be/en/rg/tox/
site16 BE Brugge Brugge 51.20942 3.2252 300000 Toxicological Center, University of Antwerp https://www.uantwerpen.be/en/rg/tox/
site17 BE Brussels Brussel-Noord 50.86 4.36 953987 Toxicological Center, University of Antwerp https://www.uantwerpen.be/en/rg/tox/
site18 BE Geraardsbergen Geraardsbergen 50.77 3.88 29047 Toxicological Center, University of Antwerp https://www.uantwerpen.be/en/rg/tox/
site19 BE Koksijde Wulpen 51.1 2.7 78441 Toxicological Center, University of Antwerp https://www.uantwerpen.be/en/rg/tox/
site20 BE Merchtem Merchtem 50.95842 4.23244 16200 Toxicological Center, University of Antwerp https://www.uantwerpen.be/en/rg/tox/
site21 BE Ninove Ninove 50.85 4.03 36179 Toxicological Center, University of Antwerp https://www.uantwerpen.be/en/rg/tox/
site22 BE Oostende Oostende 51.21543 2.928656 159000 Toxicological Center, University of Antwerp https://www.uantwerpen.be/en/rg/tox/
site23 BE Ruisbroek (Puurs) Ruisbroek 50.79035 4.29862 36000 Toxicological Center, University of Antwerp https://www.uantwerpen.be/en/rg/tox/
site24 CH Basel ARA Basel 47.56 7.59 260000 Faculté de droit, des sciences criminelles et d'administration publique - Lausanne, and Eawag - Urban Water Management  
site25 CH Berne ARA Bern 46.83 7.62 206655 Faculté de droit, des sciences criminelles et d'administration publique - Lausanne, and Eawag - Urban Water Management  
site26 CH Geneva STEP SIG 46.2 6.17 417200 Faculté de droit, des sciences criminelles et d'administration publique - Lausanne, and Eawag - Urban Water Management  
site27 CH Lausanne STEP Vidy 46.52 6.63 220000 Faculté de droit, des sciences criminelles et d'administration publique - Lausanne, and Eawag - Urban Water Management  
site28 CH Lugano Bioggio 46.02 8.91 103561 Faculté de droit, des sciences criminelles et d'administration publique - Lausanne, and Eawag - Urban Water Management  
site29 CH St. Gallen Hofen St. Gallen Hofen 47.42 9.38 52000 Faculté de droit, des sciences criminelles et d'administration publique - Lausanne, and Eawag - Urban Water Management  
site30 CH Zurich Werdhölzli 47.37 8.51 410000 Faculté de droit, des sciences criminelles et d'administration publique - Lausanne, and Eawag - Urban Water Management  
site31 CY Limassol Sewerage Board of Limassol-Amathus (SBLA) 34.69 33.02 188249 NIREAS, International Water Research Center, University of Cyprus http://www.nireas-iwrc.org/
site32 CY Nicosia Sewage treatment plant of Pano Deftera (Anthoupoli)-Sewerage Board of Nicosia 35.17 33.4 35208 NIREAS, International Water Research Center, University of Cyprus http://www.nireas-iwrc.org/
site33 CZ Brno Waterworks and sewage of city Brno 49.19506 16.606837 445000 T. G. Masaryk Water Research Institute https://www.vuv.cz
site34 CZ Budweis UCOV CB 48.96 14.46 110300 T. G. Masaryk Water Research Institute https://www.vuv.cz
site35 CZ Karlovy Vary ?OV Karloy Vary 50.23204 12.87099 67544 T. G. Masaryk Water Research Institute https://www.vuv.cz
site36 CZ Ostrava Ú?OV Ostrava 49.833864 18.281034 250000 T. G. Masaryk Water Research Institute https://www.vuv.cz
site37 CZ Prague UCOV Praha 50.08 14.43 1212000 T. G. Masaryk Water Research Institute https://www.vuv.cz
site38 DE Berlin (4) Berlin 4 plants 52.52 13.4 3993500 Technische Universitat Dresden https://www.tu-dresden.de
site39 DE Chemnitz Chemnitz 50.827845 12.92137 239402 Technische Universitat Dresden https://www.tu-dresden.de
site40 DE Dortmund Deusen 51.52 7.46 399700 Technische Universitat Dresden https://www.tu-dresden.de
site41 DE Dresden Dresden-Kaditz 51.05089 13.73832 671806 Technische Universitat Dresden https://www.tu-dresden.de
site42 DE Dülmen Dülmen 51.84 7.28 34733 Technische Universitat Dresden https://www.tu-dresden.de
site43 DE Erfurt Erfurt 50.984768 11.02988 215750 Technische Universitat Dresden https://www.tu-dresden.de
site44 DE Frankfurt (3) Frankfurt 3 plants 50.110922 8.682127 1118389 Technische Universitat Dresden https://www.tu-dresden.de
site45 DE Hamburg (2) Hamburg 2 plants 53.551085 9.993682 2050000 Technische Universitat Dresden https://www.tu-dresden.de
site46 DE Hannover (2) Hannover 2 plants 52.375892 9.73201 740000 Technische Universitat Dresden https://www.tu-dresden.de
site47 DE Magdeburg   52.120533 11.627624 278236 Technische Universitat Dresden https://www.tu-dresden.de
site48 DE Mainz Mainz 49.992862 8.247253 200344 Technische Universitat Dresden https://www.tu-dresden.de
site49 DE Munich Gut_Grosslappen Gut_Grosslappen 48.14 11.58 1156000 Technische Universitat Dresden https://www.tu-dresden.de
site50 DE Nuremberg Nürnberg 49.452102 11.076665 445593 Technische Universitat Dresden https://www.tu-dresden.de
site51 DE Rostock Rostock 54.092441 12.099147 237316 Technische Universitat Dresden https://www.tu-dresden.de
site52 DE Saarbrucken (2) Saarbrucken 2 plants 49.240157 6.996933 203643 Technische Universitat Dresden https://www.tu-dresden.de
site53 DE Stuttgart Stuttgart 48.775846 9.182932 602000 Technische Universitat Dresden https://www.tu-dresden.de
site54 DK Copenhagen Lynetten 55.69 12.62 685000 Section of Forensic Chemistry, University of Copenhagen https://retsmedicin.ku.dk/english/aboutnew/forensic_chemistry/
site55 ES Barcelona Baix Llobregat 41.43 1.97 1169300 Research Institute for Pesticides and Water, University Jaume I https://www.uji.es/institucional/estructura/instituts/iupa/
site56 ES Castellon EDAR Castellón 40.23 -0.12 177088 Research Institute for Pesticides and Water, University Jaume I https://www.uji.es/institucional/estructura/instituts/iupa/
site57 ES Madrid VdlV Viveros de la Villa 40.41669 -3.70035 440800 Research Institute for Pesticides and Water, University Jaume I https://www.uji.es/institucional/estructura/instituts/iupa/
site58 ES Molina de Segura   38.051681 -1.207326 70709 Research Institute for Pesticides and Water, University Jaume I https://www.uji.es/institucional/estructura/instituts/iupa/
site59 ES Santiago Silvouta 42.88 -8.54 136500 Research Institute for Pesticides and Water, University Jaume I https://www.uji.es/institucional/estructura/instituts/iupa/
site60 ES Valencia (3) Valencia 3 plants 39.46 -0.33 1191210 Research Institute for Pesticides and Water, University Jaume I https://www.uji.es/institucional/estructura/instituts/iupa/
site61 FI Espoo Suomenoja 60.16 24.71 390000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site62 FI Helsinki Viikinmäki 60.23 24.99 860000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site63 FI Hämeenlinna Paroinen 60.99601 24.46423 67000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site64 FI Joensuu Kuhasalo 62.58 29.73 82667 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site65 FI Jyväskylä Nenäinniemi 62.21 25.77 155000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site66 FI Kajaani Peuraniemi 64.227 27.7285 33714 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site67 FI Kemi Peurasaari 65.73609 24.56363 25000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site68 FI Kokkola Hopeakivenlahti 63.83848 23.13048 36000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site69 FI Kotka Mussalo 60.45 26.89 72500 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site70 FI Kouvola Mäkikylä 60.8679 26.70405 70000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site71 FI Kuopio Lehtoniemi 62.96 27.01 90697 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site72 FI Lahti Kariniemi 60.99 25.65 63000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site73 FI Lappeenranta Toikansuo 60.93 27.3 60000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site74 FI Mariehamn Lotsbroverket 60.09693 19.93482 20000 RISE Research Institutes of Sweden https://www.ri.se/en
site75 FI Mikkeli Kenkäveronniemi 61.68852 27.27217 42000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site76 FI Oulu Taskila 65.05 25.41 200526 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site77 FI Pietarsaari Alheda 63.67486 22.70256 41100 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site78 FI Pori Luotsinmäki 61.48519 21.79746 114000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site79 FI Rauma Maanpäänniemi 61.12724 21.51127 40000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site80 FI Rovaniemi Alakorkalo 66.5 25.72 55000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site81 FI Salo Salo 60.38333 23.13333 34700 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site82 FI Savonlinna Pihlajaniemi 61.86 28.85 23000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site83 FI Seinäjoki Seinäjoki 62.79446 22.82822 55000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site84 FI Tampere Viinikanlahti 61.49 23.77 200000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site85 FI Turku Kakolanmäki 60.44 22.24 300000 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site86 FI Vaasa Patt 63.1 21.62 69252 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site87 FI Vihti Nummela 60.41699 24.31965 17500 National Institute for Health and Welfare (THL) thl.fi/en/web/thlfi-en
site88 FR Bordeaux I Louis Fargue 44.837789    -0.58 254338 Faculty of Pharmacy, University Paris-Saclay www.universite-paris-saclay.fr
site89 FR Fort-de-France P Pointe des Nègres 14.616065 -61.05878 19000 Faculty of Pharmacy, University Paris-Saclay www.universite-paris-saclay.fr
site90 FR Paris Seine Centre Seine Centre 48.95 2.27 627804 Faculty of Pharmacy, University Paris-Saclay www.universite-paris-saclay.fr
site91 FR Paris South Suburbs South Suburbs 48.856614 2.352222 83951 Faculty of Pharmacy, University Paris-Saclay www.universite-paris-saclay.fr
site92 GB Bristol Avonmouth 51.503457 -2.698444 886650 Department of Chemistry, University of Bath http://www.bath.ac.uk/chemistry/
site93 GB London Beckton 51.53 0.05 3400000 Analytical & Environmental Sciences Division, King's College London, UK http://www.kcl.ac.uk
site94 GR Athens City of Athens WWTP 37.9928017 23.765801 3700000 Laboratory of Analytical Chemistry, University of Athens http://www.chem.uoa.gr/
site95 GR Eleusis City of eleusis WWTP 38.323372 23.31678 25000    
site96 GR Mytilene   39.106738 26.557275 26000 Laboratory of Analytical Chemistry, University of Athens  
site97 GR Thessaloniki   40.640063 22.944419 850000 Laboratory of Analytical Chemistry, University of Athens  
site98 HR Zagreb Central wastewater treatment plant of the city of Zagreb 45.7929993 15.9464 650000 Rudjer Boskovic Institute http://www.irb.hr/eng
site99 IS Reykjavik Klettagarðar Klettagarðar 64.126521 -21.817439 103031 Department of Pharmacology and Toxicology, University of Iceland http://english.hi.is/
site100 IT Bozen Kläranlage Bozen 46.49672 11.358 261332 Institute of Legal Medicine and Core Facility Metabolomics https://biomassspec.gmi.tirol/
site101 IT Milan Nosedo 45.4337997 9.2213602 891367 IRCCS, Istituto di Ricerche Farmacologiche Mario Negri http://www.marionegri.it/mn/en/
site102 LT Kaunas Kaunas 54.89687 23.89243 288363 Drug, Tobacco and Alcohol Control Department http://ntakd.lrv.lt/en/
site103 LT Klaipeda Klaipeda 55.78282 21.49279 164038 Drug, Tobacco and Alcohol Control Department http://ntakd.lrv.lt/en/
site104 LT Vilnius Vilniaus vandenys 54.687156 25.279651 545280 Drug, Tobacco and Alcohol Control Department http://ntakd.lrv.lt/en/
site105 LV Riga Riga 56.94965 24.105186 619703 Slimibu Profilakses un Kontroles centrs https://www.spkc.gov.lv
site106 MT Malta   35.937496 14.375416 296297    
site107 NL Amsterdam RWZI Amsterdam-WEST 52.375 4.8666668 769000 KWR https://www.kwrwater.nl/en/
site108 NL Eindhoven RWZI Eindhoven 51.4421082 5.4800701 450300 KWR https://www.kwrwater.nl/en/
site109 NL Nieuwegein Ijssel. RWZI Nieuwegein 52.024821 5.091819 96000 KWR https://www.kwrwater.nl/en/
site110 NL Oudewater RWZI Oudewater 52.024163 4.868417 10110 KWR https://www.kwrwater.nl/en/
site111 NL Utrecht RWZI Utrecht 52.0858002 5.1308398 300000 KWR https://www.kwrwater.nl/en/
site112 NO Oslo VEAS 59.9156914 10.857625 624642 Norwegian Institute for Water Research (NIVA) https://www.niva.no/drugmon
site113 PL Krakow P Krakow Plaszow 50.06 19.94 680000 AGH University of Science and Technology http://www.agh.edu.pl/en/
site114 PT Almada Mutela 38.675187 -9.154345 138685 Faculty of Pharmacy - University of Lisbon, and National Institute of Legal Medicine and Forensic Sciences http://www.ff.ul.pt/servicos-exterior/contactos/
site115 PT Lisbon Alcântara 38.7044907 -9.1754999 426964 Faculty of Pharmacy - University of Lisbon, and National Institute of Legal Medicine and Forensic Sciences http://www.ff.ul.pt/servicos-exterior/contactos/
site116 PT Porto   41.157944 -8.629105 150000 CIIMAR - University of Porto www2.ciimar.up.pt
site117 RO Cluj Napoca   46.7780991 23.6136 350000 Toxicological Center, University of Antwerp https//www.uantwerpen.be/en/rg/tox/
site118 RS Belgrade Sewer system Usce (outlet in Danube river) 44.8130989 20.463261 284347    
site119 RS Novi Sad   45.3039017 19.8267 310312 University of Novi Sad, Faculty of Technical Sciences, Department of Environmental Engineering and Occupational Safety https://www.uns.ac.rs
site120 SE Gothenburg Ryaverket 57.6828995 12.0729 664441 Department of Chemistry, Umea University http://www.chemistry.umu.se/english/
site121 SE Gävle Duvbacken 60.674622 17.14183 85000 RISE Research Institutes of Sweden https://www.ri.se/en
site122 SE Sandviken Hedåsen ARV 60.61667 16.76667 28000    
site123 SE Stockholm (2) Henriksdal 1 and Sicklainloppet 59.329323 18.068581 848000    
site124 SE Söderhamn Granskär ARV 61.30373 17.05921 14500    
site125 SE Umea Ons avloppsreningsverk 63.8181992 20.315001 115800 Department of Chemistry, Umea University http://www.chemistry.umu.se/english/
site126 SE Uppsala Site 1 59.858562 17.638927 200000    
site127 SI Domžale-Kamnik Domžale-Kamnik 46.13788 14.59384 77981 Jožef Stefan Institute https://www.ijs.si/ijsw/V001/JSI
site128 SI Koper Central wastewater treatment plant Koper 45.548058 13.730188 49843 Jožef Stefan Institute https://www.ijs.si/ijsw/V001/JSI
site129 SI Ljubljana Central wastewater treatment plant Ljubljana 46.056947 14.505751 270305 Jožef Stefan Institute https://www.ijs.si/ijsw/V001/JSI
site130 SI Maribor Maribor 46.55734 15.64591 129000 Jožef Stefan Institute https://www.ijs.si/ijsw/V001/JSI
site131 SI Novo mesto Wastewater treatment plant Novo mesto 45.804211 15.16969 25414 Jožef Stefan Institute https://www.ijs.si/ijsw/V001/JSI
site132 SI Velenje Central wastewater treatment plant Šaleške Doline (Šalek Valley) 46.362274 15.110658 35280 Jožef Stefan Institute https://www.ijs.si/ijsw/V001/JSI
site133 SK Bratislava (2) Bratislava 2 plants 48.14925 17.106991 600000 Department of Environmental Engineering, Slovak University of Technology Bratislava https://www.stuba.sk/english.html?page_id=132
site134 SK Piestany   48.5918007 17.801901 30000 Department of Environmental Engineering, Slovak University of Technology Bratislava https://www.stuba.sk/english.html?page_id=132
site135 TR Adana Seyhan 36.991421 35.33083 1159215    
site136 TR Istanbul I Catalca-Ahmediye 41.013 28.9748 69000 Forensic Toxicology Labs. Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa https://adlitip.istanbulc.edu.tr/tr/_
site137 TR Istanbul (II-VII) Istanbul (II-VII) 41.013 28.9748 16525000 Forensic Toxicology Labs. Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa https://adlitip.istanbulc.edu.tr/tr/_

Data from 2020 study

Download as CSV

Cocaine residues/metabolite (benzoylecgonine) in wastewater in selected European cities, 2020
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site1 AT Graz 98.22 107.09 138.97 277.65 141.82 113.55 90.27 98.53 168 138.22
site2 AT Hall-Wattens 198.51 191.85 188.4 252.67 258.04 184.96 197.85 196.07 221.02 210.32
site3 AT Innsbruck 272.4 285.7 352.42 403.34 392.42 266.43 271.96 276.69 353.65 320.67
site4 AT Kapfenberg 148.49 157.88 118.73 204.25 190.41 102.76 102.67 136.35 154.04 146.46
site6 AT Kufstein 364.86 369.03 440.21 449.37 499.04 357.81 347.98 360.62 436.61 404.04
site8 AT Purgstall 30.39 19.28 21.52 17.96 26.36 22.62 32.59 27.42 22.11 24.39
site9 AT Region Millstattersee 83.16 60.52 74.26 101.62 92.53 53.24 64.7 69.46 80.41 75.72
site10 AT Strass im Zillertal 94.1 97.21 119.48 171.26 171.9 100.89 99.95 97.09 140.88 122.11
site11 AT Wasserverband Hofsteig 100.95 163.51 171.02 162.2 285.03 306.16 187.81 150.76 231.1 196.67
site14 BE Antwerp Zuid 1049.69 949.03 1126.59 1201.26 2090.15 789.02 1018.39 1005.7 1301.75 1174.88
site15 BE Boom 456.63 463.37 382.86 365.78 363.02 353 535.6 485.2 366.17 417.18
site17 BE Brussels 445.45 525.75 492.9 534.19 509.93 432.1 379.07 450.09 492.28 474.2
site25 CH Berne 512.87 520.74 553.28 664.97 619.6 522.41 576.42 536.68 590.06 567.18
site26 CH Geneva 530.6 540.8 530.63 569.24 512.58 409.09 417.55 496.31 505.38 501.5
site29 CH St. Gallen Hofen 624.28 619.53 744.62 959.27   571.83 631.42 625.08 758.57 691.83
site30 CH Zurich 731.69 659.17 810.15 1237.33 1074.64 782.13 825.43 738.76 976.06 874.36
site31 CY Limassol 42.91 46.65 47.98 41.17 37.57 27.74 63.27 50.95 38.61 43.9
site32 CY Nicosia 73.14 43.82 69.74 54.65 73.62 48.58 41.62 52.86 61.65 57.88
site35 CZ Karlovy Vary 55.04 64.31 68.19 104.35 70.34 46.25 36.07 51.8 72.28 63.51
site36 CZ Ostrava 37.3 43.37 41.66 74.31 46.2 33.92 41.06 40.58 49.02 45.4
site37 CZ Prague 228.38 289.9 237.2 397.94 296.11 215.28 210.73 243.01 286.63 267.94
site39 DE Chemnitz 20.99 18.99 22.2 33.38 39.45 37.58 18.77 19.58 33.15 27.34
site40 DE Dortmund 302.36 252.51 242.48 247.62 369.85 351.73 368.69 307.85 302.92 305.04
site41 DE Dresden 36.01 29.29 54.13 48.68 57.01 34.61 35.28 33.53 48.61 42.14
site42 DE Dülmen 89.73 114 139.57 178.04 175.72 132.8 113.7 105.81 156.53 134.79
site43 DE Erfurt 54.33 56.05   78.39 107.15 74.09 56.14 55.51 86.54 71.02
site45 DE Hamburg (2) 421.27 359.37     572.21   363.07 381.24 572.21 459.17
site47 DE Magdeburg 158.58 166.37 155.88 208.78 179.87 223.04 173.02 165.99 191.89 180.79
site49 DE Munich Gut_Grosslappen 246.4     222.14 157.03 145.93 185.13 215.77 175.03 191.33
site50 DE Nuremberg 28.01 34.54 37.72 48.99 51.38 36.17 30.89 31.15 43.56 38.24
site52 DE Saarbrucken (2) 156.54 150.6 183.02 203.65 210.11 132.84 135.79 147.64 182.4 167.51
site56 ES Castellon 445.46 487.24 417.29 397.07 498.16 432.24 387.86 440.19 436.19 437.9
site59 ES Santiago 575.31 481.6 535.38 961.35 621.09 528.59 572.12 543.01 661.6 610.78
site61 FI Espoo 33.12 36.87 38.98 63.06 73.21 46.53 39.53 36.5 55.44 47.33
site62 FI Helsinki 51.52 62.03 71.59 117.43 126.22 76.97 68.09 60.55 98.05 81.98
site63 FI Hämeenlinna 4.75 4.33 8.19 22.09 25.29 16.83 6.4 5.16 18.1 12.55
site64 FI Joensuu 1.7 1.62 1.94 2.58 2.21 0.78 1.35 1.56 1.88 1.74
site65 FI Jyväskylä 2.9 3.08 2.4 4.54 2.55 2.6 3.04 3.01 3.02 3.01
site66 FI Kajaani 1.01 1.72 0.49 0.64 0.75 0.53 1.34 1.36 0.6 0.93
site67 FI Kemi 0.19 3.04 2.55 4.06 2.09 0.35 0.7 1.31 2.27 1.86
site68 FI Kokkola 0.59 0.63 0.85 0.86 0.6 0.41 1.32 0.85 0.68 0.75
site69 FI Kotka 17.48 11.87 9.27 21.56 30.22 27.31 11.26 13.54 22.09 18.43
site70 FI Kouvola 9.31 6.47 7.87 8.85 7.59 5.96 6.83 7.54 7.57 7.55
site71 FI Kuopio 1.22 0.61 1.64 11.87 16.4 5.74 3.75 1.86 8.91 5.89
site72 FI Lahti 20.1 36.7 28.35 44.67 55.8 35.72 41.05 32.62 41.14 37.49
site73 FI Lappeenranta 2.29 1.61 1.07 1.54 0.58 1.85 1.31 1.73 1.26 1.47
site74 FI Mariehamn 22.69 32.77 31.6 67.27 76.07 31.89 28.4 27.95 51.71 41.53
site75 FI Mikkeli 2.8 3.17 3.19 3.07 4.81 1.91 1.88 2.62 3.25 2.98
site76 FI Oulu 2.87 2.27 3.38 5.25 5.29 3.49 3.49 2.88 4.35 3.72
site77 FI Pietarsaari 0.14 0.15 0.46 0.13 0.29 0.18 0.16 0.15 0.26 0.22
site78 FI Pori 3.38 2.56 2.99 5.61 4.35 4.22 3.11 3.02 4.29 3.74
site79 FI Rauma 0.9 1.07 0.24 0.86 1.82 1.26 1.31 1.09 1.04 1.06
site80 FI Rovaniemi 2.38 4.87 4.87 4.52 3.64 1.88 0.51 2.59 3.73 3.24
site81 FI Salo 1.13 2.27 2.81 2.55 0.98 0.91 2.73 2.04 1.81 1.91
site82 FI Savonlinna 1.9 0.58 0.93 1.99 5.27 2.64 2.02 1.5 2.71 2.19
site83 FI Seinäjoki 4.87 4.18 6.6 10.11 8.5 4.06 2.03 3.69 7.32 5.76
site84 FI Tampere 12.65 12.17 14.55 26.44 23.01 23.41 15.82 13.55 21.85 18.29
site85 FI Turku 8.9 12.65 15.61 26.24 30.12 17.46 11.69 11.08 22.36 17.52
site86 FI Vaasa 2.89 1.17 0.97 2.18 2.72 1.69 1.11 1.73 1.89 1.82
site87 FI Vihti 9.53 11.01 7.88 24.68 41.46 11.91 11.62 10.72 21.48 16.87
site90 FR Paris Seine Centre 410.4 475.08 410.75 387.83 447.58 377.26 365.15 416.87 405.85 410.58
site98 HR Zagreb 404.92 486.96 544.26 637.92 625.2 470.37 402.07 431.32 569.44 510.24
site99 IS Reykjavik Klettagarðar 201.58 290.26 310.08 364.19 374.78 239.08 202.77 231.54 322.03 283.25
site100 IT Bozen 282.33 310.22 332.48 387.81 403 322.93 292.89 295.15 361.56 333.1
site101 IT Milan 342.15   346.31 539.14 425.75   353.85 348 437.07 401.44
site102 LT Kaunas 55.65 57.53 57.73 72.79 86.14 66.67 60.92 58.04 70.83 65.35
site103 LT Klaipeda 60.38 68.02 61.98 74.1 114.11 153.26 97.5 75.3 100.86 89.91
site104 LT Vilnius 47.03 63.33 55.53 143.52 92.08 50.58 44.89 51.75 85.43 70.99
site105 LV Riga 45.4 80.48 76.92 94.2 109.1 98.93 45.4 57.09 94.79 78.63
site107 NL Amsterdam 706.35 715.85 855.76 712.68 864.88 821.5 703.48 708.56 813.7 768.64
site108 NL Eindhoven 436.08 448.96 545.83 611.89 686.56 480.16 451.16 445.4 581.11 522.95
site111 NL Utrecht 397.49 417.12 533.71 632.15 581.02 438.3 455.64 423.42 546.29 493.63
site112 NO Oslo 193.3 187.17 318.69 295.54 298.76 197.33 187.27 189.24 277.58 239.72
site113 PL Krakow P 42.78 54.38 59.5 62.86 55.09 64.33 38.77 45.31 60.45 53.96
site114 PT Almada 322.29 282.04 189.01 162.5 190.66 300.6 184.91 263.08 210.69 233.14
site115 PT Lisbon 343.95 365.92 368.38 447.41 341.29 372.54 321.14 343.67 382.4 365.8
site116 PT Porto 341.01 356.55 321.27 336.83 340.68 290.41 322.16 339.91 322.3 329.85
site119 RS Novi Sad 146.73 121.31 135.54 126.25 83.9 132.33 135.62 134.55 119.5 125.95
site121 SE Gävle 72.46 63.13 84.16 164.78 172.24 96.09 71.99 69.19 129.32 103.55
site122 SE Sandviken 33.29 52.34 84.23 139.17 114.51 84.71 46.24 43.95 105.66 79.21
site123 SE Stockholm (2) 213.87 274.25 298.98 407.29 536.19 324.63 208.13 232.08 391.77 323.34
site124 SE Söderhamn 19.42 18.99 55.36 67.28 104.82 100.77 48.89 29.1 82.06 59.36
site126 SE Uppsala 72.75 74.28 95.61 124.93 153.94 72.85 68.86 71.96 111.83 94.74
site127 SI Domžale-Kamnik 148.8 159.51 155.53 175.91 199.27 138.58 152.07 153.46 167.32 161.38
site128 SI Koper 306.04 305.32 344.2 363.01   265.97 341.43 317.6 324.39 320.99
site129 SI Ljubljana 287.91 302.94 301.75 401.16 392.99 329.27 336.3 309.05 356.29 336.05
site130 SI Maribor 114.96 128.11 148.12 175.68 165.55 115.9 129.46 124.18 151.31 139.68
site131 SI Novo mesto 85.13 99.88 103.75 143.97 146.71 91.86 80.81 88.61 121.57 107.44
site132 SI Velenje 124.17 112.96 167.66 161.06 182.05 141.43 147.62 128.25 163.05 148.13
site135 TR Adana 5.09 4.89 5.57 3.16 5.28 4.92 5.3 5.09 4.73 4.89
site137 TR Istanbul (II-VII) 45.23 58.05 43.9 55.79 63.5 59.83 54.79 52.69 55.75 54.44

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Cannabis residues in wastewater in selected European cities, 2020
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site1 AT Graz 46.87 48.68 44.34 67.07 37.48 58.17 52.23 49.26 51.77 50.69
site2 AT Hall-Wattens 45.97 35.34 40.26 34.64 36.07 55.98 53.96 45.09 41.74 43.17
site3 AT Innsbruck 49.39 57.14 66.73 62.27 62.98 72.59 59.34 55.29 66.14 61.49
site4 AT Kapfenberg 64.28 65.89 73.77 62.04 69.59 27.9 59.96 63.38 58.32 60.49
site6 AT Kufstein 55.81 61.25 72.51 52.99 54.77 57.8 60.78 59.28 59.52 59.41
site8 AT Purgstall 39.75 36.44 28.81 31.87 34.53 49.43 51.92 42.7 36.16 38.96
site9 AT Region Millstattersee 31.47 32.35 32.14 32.72 32.18 28.84 31.69 31.84 31.47 31.63
site10 AT Strass im Zillertal 30.27 29.68 27.33 27.12 30.71 28.74 26.05 28.67 28.48 28.56
site11 AT Wasserverband Hofsteig 67.96 76.49 101.82 60.38 61.92 71.93 114.88 86.44 74.01 79.34
site25 CH Berne 7.07 5.02 21.14 8.01 8.17 18.73 15.29 9.13 14.01 11.92
site26 CH Geneva 234.96 208.32 194.78 182.53 172.27 168.37 156.69 199.99 179.49 188.27
site29 CH St. Gallen Hofen 10.84 9.6 18.42 8.91   5.94 7.66 9.37 11.09 10.23
site30 CH Zurich 102.03 129.09 105.46 92.16 117.82 136.1 120.12 117.08 112.89 114.68
site35 CZ Karlovy Vary 98 94.51 104.6 94.56 108.49 103.91 99.69 97.4 102.89 100.54
site36 CZ Ostrava 65.78 67.29 67.1 94.65 49.52 78.56 71.85 68.31 72.46 70.68
site37 CZ Prague 89.15 90.86 77.75 126.82 79.41 87.1 81.38 87.13 92.77 90.35
site56 ES Castellon 67.25 66.83 55.3 64.97 99.46 64.19 68.45 67.51 70.98 69.49
site59 ES Santiago 85.45 172.4 74.56 82.31 63.48 71.17 95.62 117.82 72.88 92.14
site90 FR Paris Seine Centre 176.01 186.24 168.66 109.61 159.83 165.62 179.86 180.7 150.93 163.69
site94 GR Athens 30.62 33.72 41.95 40.74 65.42 46.25   32.17 48.59 41.56
site95 GR Eleusis 6.42 12.57 25.43 42.52 17.37 15.14 13.42 10.8 25.12 18.98
site98 HR Zagreb 145.47 350.12 275.63 218.11 162.47 173.49 277.21 257.6 207.43 228.93
site99 IS Reykjavik Klettagarðar 103.3 146.18 111.12 87.2 156.66 139.06 70.92 106.8 123.51 116.35
site100 IT Bozen 32.34 31.2 35.66 33.26 31.15 37.87 35.53 33.02 34.49 33.86
site101 IT Milan 42.16   39.46 63.61 42.1   50.86 46.51 48.39 47.64
site107 NL Amsterdam 275.32 260.23 252.46 226.22 229.85 258.24 230.39 255.31 241.69 247.53
site108 NL Eindhoven 129.49 130.53 156.43 122.38 120.86 147.04 141.39 133.8 136.68 135.44
site111 NL Utrecht 137.66 111.76 137.54 150.22 157.13 165.58 162.28 137.24 152.62 146.02
site113 PL Krakow P 29.45 30.7 29.25 29.46 22.61 40.96 26.74 28.96 30.57 29.88
site114 PT Almada 110.28 129.81 113.47 98.81 80.49 109.98 106.62 115.57 100.69 107.07
site115 PT Lisbon 91.63 98.13 97.44 86.37 65.77 100.6 98.77 96.18 87.54 91.24
site116 PT Porto 67.18 38.21 37.76 70.62 58.78 63.49 106.44 70.61 57.66 63.21
site121 SE Gävle 37.62 38.68 76.25 56.91 47.57 50.59 57.71 44.67 57.83 52.19
site122 SE Sandviken 39.14 46.4 39.84 35.23 42.82 44.08 27.67 37.73 40.49 39.31
site124 SE Söderhamn 34.15 37.06 46.49 33.93 36.4 36.52 34.68 35.3 38.34 37.03
site135 TR Adana 20.1 17.72 21.73 0.45 19.66 20.7 10.83 16.22 15.64 15.89
site137 TR Istanbul (II-VII) 43.21 34.47 36.78 38.62 40.08 24.12 33.4 37.03 34.9 35.81

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Amphetamine residues in wastewater in selected European cities, 2020
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site1 AT Graz 22.49 25.64 24.75 48.79 25.79 27.86 29.58 25.9 31.8 29.27
site2 AT Hall-Wattens 6.17 9.74 5.95 9.84 9.46 12.62 9.53 8.48 9.47 9.05
site3 AT Innsbruck 13.69 15.81 18.43 22.28 20.19 18.45 13.98 14.49 19.83 17.55
site4 AT Kapfenberg 24.42 19.44 16.04 36.81 27.38 27.66 33.37 25.74 26.97 26.45
site6 AT Kufstein 14.84 11.94 12.8 16.11 16.87 13.11 13.7 13.49 14.72 14.2
site8 AT Purgstall 19.72 22.64 27.49 18.83 22.54 32.6 22.59 21.65 25.36 23.77
site9 AT Region Millstattersee 5.97 5.63 7.49 6.97 7.31 3.77 5.97 5.86 6.39 6.16
site10 AT Strass im Zillertal 12.72 11.44 12.5 12.49 15.47 13.8 10.79 11.65 13.56 12.74
site11 AT Wasserverband Hofsteig 16.96 26.41 28.4 17.8 24.97 30.41 24.85 22.74 25.39 24.26
site14 BE Antwerp Zuid 351.13 315.42 315.51 334.23 512.03 249.01 349.89 338.81 352.69 346.74
site15 BE Boom 242.21 245.19 259.41 294.07 224.19 177.81 297.66 261.69 238.87 248.65
site17 BE Brussels 53.96 65.45 55.39 55.27 57.47 59.24 45.18 54.86 56.84 55.99
site25 CH Berne 52.49 48.84 61.68 54.19 55.45 54.78 63.06 54.8 56.52 55.78
site26 CH Geneva 0 0 0 0 0 0 0 0 0 0
site29 CH St. Gallen Hofen 52.05 68.52 93.58 136.83   43.39 61.66 60.74 91.26 76
site30 CH Zurich 41.53 36.23 41.04 43.23 43.57 46.36 42.66 40.14 43.55 42.09
site31 CY Limassol 7.83 1.8 1.96 1.6 1.05 1.18 8.47 6.03 1.44 3.41
site32 CY Nicosia 3.82 2.81 2.77 1.94 1.45 1.61 4.7 3.77 1.94 2.73
site35 CZ Karlovy Vary 30.82 31.41 32.97 32.09 32.83 32.43 29.91 30.71 32.58 31.78
site36 CZ Ostrava 61.93 66.84 71.49 87.87 49.52 131.26 67.32 65.37 85.03 76.6
site37 CZ Prague 36.91 43.36 35.79 42.63 40.22 37.57 37.08 39.12 39.05 39.08
site39 DE Chemnitz 19.62 24.04 19.1 18.73 19.61 18.22 18.77 20.81 18.92 19.73
site40 DE Dortmund 144.57 141.02 135.36 126.06 183.44 133.71 137.74 141.11 144.64 143.13
site41 DE Dresden 27.33 21.69 41.82 26.7 26.56 24.57 29.6 26.21 29.91 28.32
site42 DE Dülmen 146.24 131.89 134.04 146.04 142.31 142.78 150.76 142.96 141.29 142.01
site43 DE Erfurt 41.82 40.11   37.18 53.29 44.78 48.71 43.55 45.08 44.31
site45 DE Hamburg (2) 56.79 68.8     67.96   60.13 61.91 67.96 62.51
site47 DE Magdeburg 116.28 114.53 108.04 129.31 91.14 122.71 119.14 116.65 112.8 114.45
site49 DE Munich Gut_Grosslappen 14.85     14.44 10.09 18.5 12.84 13.85 14.34 14.14
site50 DE Nuremberg 25.06 28.13 33.31 39.19 41.67 33.53 31.38 28.19 36.93 33.18
site52 DE Saarbrucken (2) 323.47 279.49 287.66 294.64 308.47 238.66 285.85 296.27 282.36 288.32
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site61 FI Espoo 163.94 152.9 170.31 179.92 199.97 163.11 143.27 153.37 178.32 167.63
site62 FI Helsinki 221.41 219.7 237.13 286.65 314.66 296.16 253.93 231.68 283.65 261.38
site63 FI Hämeenlinna 125.83 117.03 121.59 125.35 112.82 126.27 117.06 119.97 121.51 120.85
site64 FI Joensuu 124.24 140.46 208.88 156.62 129.54 86.88 88.68 117.79 145.48 133.61
site65 FI Jyväskylä 92.77 100.73 93.92 115.44 106 88.03 75.71 89.74 100.85 96.09
site66 FI Kajaani 68.46 62.62 69.77 56.76 36.61 43.43 24.94 52.01 51.64 51.8
site67 FI Kemi 225.23 257.18 246.27 300.76 280.57 279.6 265.44 249.28 276.8 265
site68 FI Kokkola 32.25 36.59 27.44 25.04 31.04 28.68 33.54 34.13 28.05 30.65
site69 FI Kotka 185.3 176.56 187.05 215.09 211.19 212.8 164.33 175.4 206.53 193.19
site70 FI Kouvola 223.15 225.61 230.29 302.18 271.81 246.3 171.52 206.76 262.64 238.7
site71 FI Kuopio 150.65 195.7 207.33 237.64 233.82 172.61 135.58 160.65 212.85 190.48
site72 FI Lahti 294.12 342.31 349.51 418.75 381.46 298.88 314.45 316.96 362.15 342.78
site73 FI Lappeenranta 85.95 87.74 109.83 91.31 96.78 72.7 59.85 77.85 92.66 86.31
site74 FI Mariehamn 15.57 18.7 13.66 17.41 23.54 19 20.92 18.4 18.4 18.4
site75 FI Mikkeli 106.25 109.7 120.96 150.26 142.23 139.17 119.24 111.73 138.15 126.83
site76 FI Oulu 109.47 98.92 99.89 127.69 113.83 111.03 86.27 98.22 113.11 106.73
site77 FI Pietarsaari 24.68 24.76 30.46 34.84 28.44 28.4 24.17 24.54 30.53 27.96
site78 FI Pori 86.36 69.07 78.37 79.53 74.5 81.71 79.58 78.34 78.53 78.45
site79 FI Rauma 56.29 50.69 46.51 61.7 82.04 72.09 58.83 55.27 65.59 61.17
site80 FI Rovaniemi 127.09 134.21 162.27 198.32 242.48 194.56 131.29 130.86 199.41 170.03
site81 FI Salo 145.98 153.53 153.44 185.92 158.17 181.13 177.2 158.91 169.66 165.05
site82 FI Savonlinna 52.3 48.31 40.92 37.81 38.76 36.31 30.85 43.82 38.45 40.75
site83 FI Seinäjoki 44.98 50.31 53.48 49.15 49.53 75.09 54.53 49.94 56.81 53.87
site84 FI Tampere 117.57 142.72 191.52 222.44 158.59 139.62 127.48 129.26 178.04 157.13
site85 FI Turku 92.06 94.01 103.75 125.75 124.08 128.98 104.2 96.76 120.64 110.4
site86 FI Vaasa 145.29 169.97 175.46 212.58 209.24 164.95 173.24 162.84 190.56 178.68
site87 FI Vihti 127.32 134.08 161.55 187.68 200.68 144.51 154.12 138.51 173.6 158.56
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site98 HR Zagreb 348.64 1556.2 496.74 274.4 263.46 224.94 3932.49 1945.78 314.88 1013.84
site99 IS Reykjavik Klettagarðar 265.77 358.62 371.46 374.31 357.93 333.01 266.19 296.86 359.18 332.47
site100 IT Bozen 1.03 1.81 2.21 2.19 2.37 2.36 1.96 1.6 2.28 1.99
site101 IT Milan 0   0 0 0   0 0 0 0
site102 LT Kaunas 41.78 40.68 43.19 41.52 47.87 103.98 47.74 43.4 59.14 52.39
site103 LT Klaipeda 14.89 22.71 15.48 45.56 21.91 21.66 19.54 19.05 26.15 23.11
site104 LT Vilnius 69.76 45.44 44.84 70.27 45.28 40.76 37.99 51.06 50.29 50.62
site105 LV Riga 31.44 54.98 57.42 61 62.34 69.53 37.42 41.28 62.57 53.45
site107 NL Amsterdam 125.32 108.35 114.16 99.32 96.3 97.18 112.56 115.41 101.74 107.6
site108 NL Eindhoven 214.32 285.44 246.29 330.42 216 232.92 375.33 291.7 256.41 271.53
site111 NL Utrecht 141.31 127.6 173 175.4 242.6 176.13 193.49 154.13 191.78 175.65
site112 NO Oslo 234.3 204.02 248.96 230.87 233.39 213.02 182.49 206.94 231.56 221.01
site113 PL Krakow P 69.81 67.26 75.69 71.75 58.62 84.87 71.72 69.6 72.73 71.39
site114 PT Almada 0.44 0.43 0.43 0 2.23 2.15 1.94 0.94 1.2 1.09
site115 PT Lisbon 2 2.77 15.82 2.85 1.93 2.47 4.28 3.02 5.77 4.59
site116 PT Porto 0 0 0 0 0 0 0 0 0 0
site119 RS Novi Sad 72.4 62.06 71.13 64.09 55.66 79.99 82.95 72.47 67.72 69.76
site121 SE Gävle 1423.91 759.5 761.22 802.1 794.44 578.81 691.63 958.35 734.14 830.23
site122 SE Sandviken 427.9 501.37 503.47 576.57 552.65 674.74 623.15 517.47 576.86 551.41
site123 SE Stockholm (2) 320.95 346.31 318.34 305.93 398.94 303.57 315.75 327.67 331.69 329.97
site124 SE Söderhamn 334.7 362.6 329.99 280.01 439.38 431.71 439.78 379.03 370.27 374.03
site126 SE Uppsala 155.5 159.23 148.91 184.35 209.8 198.67 156.84 157.19 185.43 173.33
site127 SI Domžale-Kamnik 0 0 0 0 0 0 0 0 0 0
site128 SI Koper 0 0 0 0   0 0 0 0 0
site129 SI Ljubljana 12.73 10.1 13.13 14.29 18.7 16.95 12.53 11.79 15.77 14.06
site130 SI Maribor 6.04 8.36 8.71 1.87 1.93 2.12 2.06 5.49 3.66 4.44
site131 SI Novo mesto 2 6.41 2.15 2.09 2.11 1.99 1.86 3.43 2.09 2.66
site132 SI Velenje 85.78 80.06 123.24 113.1 98.79 80.73 88.84 84.89 103.97 95.79

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Methamphetamine residues in wastewater in selected European cities, 2020
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site1 AT Graz 6.33 6.73 5.85 11.3 8.4 7.32 4.97 6.01 8.22 7.27
site2 AT Hall-Wattens 4.89 3.21 3.57 3.79 2.54 7.27 2.47 3.52 4.29 3.96
site3 AT Innsbruck 4.99 3.4 4.15 3.11 3.31 3.65 3.23 3.88 3.56 3.69
site4 AT Kapfenberg 1.36 2.26 0.45 0.8 0.38 0.74 2 1.87 0.59 1.14
site6 AT Kufstein 1.45 0.26 7.01 1.7 1.7 0.41 2.29 1.33 2.71 2.12
site8 AT Purgstall 2.26 0.88 0.79 0.72 0.66 2.5 1.43 1.52 1.17 1.32
site9 AT Region Millstattersee 5.02 5.93 5.65 4.97 3.01 7 6.76 5.9 5.16 5.48
site10 AT Strass im Zillertal 5.96 7.65 7.8 7.16 4.29 6.97 6.83 6.81 6.55 6.67
site11 AT Wasserverband Hofsteig 0.62 4.18 0.82 0.52 1.52 2.31 2.63 2.48 1.29 1.8
site14 BE Antwerp Zuid 37.71 34.22 34.87 36.92 60.43 29.48 39.42 37.12 40.42 39.01
site15 BE Boom 1 1.02 1.01 1.53 1.43 0.78 0.29 0.77 1.19 1.01
site17 BE Brussels 11.42 11.09 10.76 13.15 12.65 11.01 9.64 10.72 11.89 11.39
site25 CH Berne 29.64 28.22 27.85 31.87 24.95 28.47 29.31 29.06 28.28 28.61
site26 CH Geneva 7.3 6.15 6.55 7.92 7.91 9.65 11.79 8.41 8.01 8.18
site29 CH St. Gallen Hofen 9.29 8.15 8.36 7.8   7.66 12.8 10.08 7.94 9.01
site30 CH Zurich 58.83 50.74 54.92 64.51 68.03 64.97 60.68 56.75 63.11 60.38
site31 CY Limassol 24.33 14.53 17.85 9.77 15.71 16.89 33.29 24.05 15.06 18.91
site32 CY Nicosia 11.39 8.71 10.34 11.46 6.24 7.86 7.86 9.32 8.97 9.12
site35 CZ Karlovy Vary 379.93 408.59 440.23 410.87 381.42 348.37 351.86 380.13 395.22 388.75
site36 CZ Ostrava 696.2 684.09 638.1 748.51 561.52 680.24 911.91 764.07 657.09 702.94
site37 CZ Prague 315.99 355.27 305.42 349.54 305.11 326.22 335.93 335.73 321.57 327.64
site39 DE Chemnitz 351.61 339.16 337.78 367.91 335.94 313.61 256.68 315.82 338.81 328.95
site40 DE Dortmund 0 0 0 0 0 0 0 0 0 0
site41 DE Dresden 212.24 159.72 282.11 207.3 163.02 172.42 213.71 195.23 206.21 201.51
site42 DE Dülmen 0 0 0 0 0 0 0 0 0 0
site43 DE Erfurt 440.02 429.13   382.98 478.47 442.14 438.96 436.04 434.53 435.28
site45 DE Hamburg (2) 13.62 5.3     5.99   4.5 7.81 5.99 7.64
site47 DE Magdeburg 141.05 163.66 128.87 146.18 131.68 146.72 140.31 148.34 138.36 142.63
site49 DE Munich Gut_Grosslappen 6.69     10.19 7.78 12.74 9.09 7.89 10.24 9.3
site50 DE Nuremberg 102.71 114.73 123.19 140.36 143.48 120.24 120.2 112.55 131.82 123.56
site52 DE Saarbrucken (2) 0 0 0 0 0 0 0 0 0 0
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site61 FI Espoo 3.6 4.65 4.73 6.32 6.59 4.78 5.03 4.42 5.6 5.1
site62 FI Helsinki 9.26 10.2 8.9 10.71 11.67 10.79 9.52 9.66 10.52 10.15
site63 FI Hämeenlinna 2.25 2.33 2.08 2.89 2.34 2.23 3.17 2.58 2.38 2.47
site64 FI Joensuu 1.59 1.49 1.72 1.3 1.27 0.93 0.95 1.34 1.31 1.32
site65 FI Jyväskylä 3.68 2.03 1.51 1.85 1.17 1.38 1.29 2.33 1.48 1.85
site66 FI Kajaani 0.93 1.29 1.31 1.34 0.72 1.25 0.91 1.04 1.15 1.11
site67 FI Kemi 0.91 1 0.95 0.92 1.31 0.99 1.08 1 1.04 1.02
site68 FI Kokkola 0.85 0.78 0.6 0.68 0.76 0.61 0.69 0.77 0.66 0.71
site69 FI Kotka 3.07 2.51 2.24 3.16 3 3.8 2.94 2.84 3.05 2.96
site70 FI Kouvola 2.04 2.22 2.22 2.44 2.4 1.78 1.5 1.92 2.21 2.08
site71 FI Kuopio 1.69 1.56 1.84 1.76 1.74 1.73 2.06 1.77 1.77 1.77
site72 FI Lahti 9.87 12.15 43.88 10.89 7.29 27.43 24.26 15.43 22.37 19.39
site73 FI Lappeenranta 0.68 0.77 1.06 0.92 0.56 0.5 0.56 0.67 0.76 0.72
site74 FI Mariehamn 0 0 0 0 0 0 0 0 0 0
site75 FI Mikkeli 8.34 6.03 6.45 4.5 2.24 3.77 1.59 5.32 4.24 4.7
site76 FI Oulu 1.04 0.89 0.97 1.31 1.46 1.56 1.24 1.05 1.33 1.21
site77 FI Pietarsaari 0 0 0 0 0 0 0 0 0 0
site78 FI Pori 1.39 1.27 1.31 1.62 1.32 1.72 1.78 1.48 1.49 1.49
site79 FI Rauma 1.41 2.37 1.65 1.25 1.68 1.35 2.32 2.03 1.48 1.72
site80 FI Rovaniemi 1.79 1.71 1.79 2.08 2.29 2.28 1.13 1.54 2.11 1.87
site81 FI Salo 5.59 5.9 6.72 8.54 9.69 8.75 7.57 6.35 8.43 7.54
site82 FI Savonlinna 2.38 2.84 1.02 0.75 1.17 0.88 0.74 1.99 0.95 1.4
site83 FI Seinäjoki 1.94 1.28 1.21 2.61 1.93 1.71 1.04 1.42 1.86 1.67
site84 FI Tampere 1.34 1.83 1.63 2.29 1.64 1.37 2.23 1.8 1.73 1.76
site85 FI Turku 3.63 3.59 4.53 4.78 4.74 4.44 4.7 3.97 4.62 4.34
site86 FI Vaasa 2.41 2.9 2.88 2.58 4.16 3.07 3.49 2.93 3.17 3.07
site87 FI Vihti 1.37 2.71 5.01 3.28 2.23 1.88 4.1 2.72 3.1 2.94
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site94 GR Athens 17.55 18.45 19.36 15.89 20.53 22.23   18 19.5 18.31
site95 GR Eleusis 0 0 0 0 0 0 0 0 0 0
site98 HR Zagreb 3.67 7.55 3 2.3 2.69 3.01 20.73 10.65 2.75 6.14
site99 IS Reykjavik Klettagarðar 45.23 30.08 28.89 32.17 46.8 39.03 28.28 34.53 36.72 35.78
site100 IT Bozen 1.52 0.95 1.54 0.9 1.28 1.57 1.47 1.31 1.32 1.32
site101 IT Milan 8.88   8.95 13.64 10.89   13.12 11 11.16 11.09
site102 LT Kaunas 6.24 5.74 5.57 4.97 7.7 6.63 7.73 6.57 6.22 6.37
site103 LT Klaipeda 3.55 3.78 3.47 4.34 2.83 2.91 2.49 3.27 3.39 3.34
site104 LT Vilnius 1.64 1.31 1.91 2.67 1.64 1.23 1.53 1.5 1.86 1.71
site105 LV Riga 52.88 75.9 80.23 82.98 89.23 89.14 67.39 65.39 85.4 76.82
site107 NL Amsterdam 25.63 25 29.7 22.99 26.35 27.89 28.14 26.26 26.73 26.53
site108 NL Eindhoven 8.33 12.05 24.63 92.46 25.71 14.83 8.23 9.54 39.41 26.61
site111 NL Utrecht 3.52 4.05 3.37 3.99 5.53 3.73 9.63 5.73 4.16 4.83
site112 NO Oslo 28.09 24.13 32.81 30.43 30.76 27.62 31.72 27.98 30.4 29.37
site113 PL Krakow P 1.54 2.14 1.82 1.9 1.26 1.63 1.41 1.7 1.65 1.67
site114 PT Almada 0 0 0 0 0 0 0 0 0 0
site115 PT Lisbon 3.1 2.33 3.05 3.63 2.54 4.55 7.14 4.19 3.44 3.76
site116 PT Porto 0 0 0 0 0 0 0 0 0 0
site119 RS Novi Sad 0 0 0 0 0 0 0 0 0 0
site121 SE Gävle 4.18 2.76 3.77 5.37 4.09 11.93 4.21 3.71 6.29 5.19
site122 SE Sandviken 1.21 0.79 0.34 1.29 0.45 0.7 0.55 0.85 0.69 0.76
site123 SE Stockholm (2) 11.78 22.82 14.13 11.97 13.26 11.31 12.51 15.7 12.67 13.97
site124 SE Söderhamn 2.91 1.43 2.36 2.94 1.68 2.12 1.48 1.94 2.27 2.13
site126 SE Uppsala 2.13 1.91 1.2 0.98 1.34 0.88 2.04 2.03 1.1 1.5
site127 SI Domžale-Kamnik 1.17 1.54 1.42 0.1 0.1 0.13 0.64 1.12 0.44 0.73
site128 SI Koper 0.43 0.44 0.82 0.1   0.57 0.1 0.32 0.5 0.41
site129 SI Ljubljana 1.89 1.63 0.79 0.61 1.01 0.86 1.03 1.52 0.82 1.12
site130 SI Maribor 0 0 0 0 0 0 0 0 0 0
site131 SI Novo mesto 0 0 0 0 0 0 0 0 0 0
site132 SI Velenje 0.16 1.96 1.57 1.62 1.21 0.14 0.15 0.76 1.13 0.97
site137 TR Istanbul (II-VII) 45.88 24.52 20.53 24.43 36.46 23.37 26.59 32.33 26.2 28.83

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MDMA/ecstasy residues in wastewater in selected European cities, 2020
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site1 AT Graz 6.13 7.97 9.37 30.93 20.11 14.85 9.6 7.9 18.81 14.14
site2 AT Hall-Wattens 5.41 4.23 4.49 11.07 10.09 12.72 8.85 6.16 9.59 8.12
site3 AT Innsbruck 17.32 15.46 22.18 31.73 31.17 20.67 18.79 17.19 26.44 22.47
site4 AT Kapfenberg 9.66 13.42 12.87 21.72 33.19 26.62 12.53 11.87 23.6 18.57
site6 AT Kufstein 15.31 11.94 12.34 63.66 81.5 45.85 13.54 13.6 50.84 34.88
site8 AT Purgstall 1 2.26 4.08 4 7.58 8.99 4.55 2.6 6.16 4.64
site9 AT Region Millstattersee 3.64 2 2.75 5.68 4.36 5.85 24.75 10.13 4.66 7
site10 AT Strass im Zillertal 7.59 6.79 5.63 9.18 21.09 13.42 7.32 7.23 12.33 10.15
site11 AT Wasserverband Hofsteig 5.44 4.07 3.82 2.33 8.33 13.42 8.23 5.91 6.98 6.52
site14 BE Antwerp Zuid 72.7 46.48 65.55 74.96 156.06 61.49 78.44 65.87 89.51 79.38
site15 BE Boom 19.55 18.33 18.59 16.91 27.01 27.32 40.66 26.18 22.46 24.05
site17 BE Brussels 16.18 17.94 14.7 27.29 37.93 23.12 18.81 17.65 25.76 22.28
site25 CH Berne 5.72 9.85 14.97 30.62 32.32 22.05 12.74 9.44 24.99 18.33
site26 CH Geneva 20.88 21.55 22.69 32.84 33.75 36.47 20.74 21.06 31.43 26.99
site29 CH St. Gallen Hofen 7.18 19.45 14.59 24.43   11.03 10.01 12.21 16.68 14.45
site30 CH Zurich 15.39 14.04 17.3 37.51 55.41 35.49 22.06 17.16 36.43 28.17
site31 CY Limassol 2.71 1.37 1.4 2.42 3.51 2.16 4.37 2.82 2.38 2.56
site32 CY Nicosia 1.09 1.53 0.46 0.3 4.31 1.59 2.91 1.84 1.67 1.74
site35 CZ Karlovy Vary 8.88 9.17 8.21 15 17.26 9.25 5.66 7.9 12.43 10.49
site36 CZ Ostrava 10.49 10.73 12.98 29.56 23.28 16.62 13.75 11.66 20.61 16.77
site37 CZ Prague 21.14 24.57 26.79 72.24 53.57 31.52 23.39 23.03 46.03 36.18
site39 DE Chemnitz 8.45 12.02 10.74 13.21 15 12.3 9.94 10.13 12.81 11.66
site40 DE Dortmund 19.32 18.68 13.82 13.71 24.96 27.97 25.84 21.28 20.12 20.61
site41 DE Dresden 8.43 33.08 18.04 18.06 18.32 13.52 9.12 16.88 16.98 16.94
site42 DE Dülmen 4.5 5.6 6.3 9.94 14.98 7.24 7.04 5.71 9.62 7.94
site43 DE Erfurt 10.37 9.28   8.96 20.22 16.46 13.04 10.9 15.21 13.06
site45 DE Hamburg (2) 17.97 13.01     30.85   16.89 15.95 30.85 19.34
site47 DE Magdeburg 14.15 14.47 16.45 21.12 18.62 29.49 19.09 15.9 21.42 19.06
site49 DE Munich Gut_Grosslappen 19.87     15.72 14.92 12.13 9.29 14.58 14.26 14.38
site50 DE Nuremberg 1.23 1.23 3.18 7.1 12.07 6.95 7.72 3.4 7.33 5.64
site52 DE Saarbrucken (2) 19.49 17.59 19.18 21.73 26.54 20.68 19.28 18.78 22.03 20.64
site56 ES Castellon 0.99 1.06 1.05 2.41 6.86 8.94 2.11 1.39 4.81 3.34
site59 ES Santiago 21.84 19 20.6 48.89 37.92 29.08 30.12 23.65 34.12 29.64
site61 FI Espoo 18.36 15.2 19.52 39.32 51.55 31.09 19.8 17.79 35.37 27.83
site62 FI Helsinki 22.93 21.28 23.86 58.51 78.66 47.11 28.57 24.26 52.03 40.13
site63 FI Hämeenlinna 5.78 4.37 6.25 12.87 15.02 11.89 13.11 7.75 11.51 9.9
site64 FI Joensuu 5 3.63 10.24 22.81 22.66 10.67 6.2 4.94 16.6 11.6
site65 FI Jyväskylä 5.31 6.76 8.47 19.75 12.49 13.61 8.09 6.72 13.58 10.64
site66 FI Kajaani 5.66 2.22 2.5 13.08 4.72 7.24 5.98 4.62 6.88 5.91
site67 FI Kemi 2.72 1.44 10.4 23.08 15.89 8.99 9.86 4.67 14.59 10.34
site68 FI Kokkola 12.76 11.84 9.69 23.7 30.59 27.27 27.1 17.23 22.81 20.42
site69 FI Kotka 14.69 9.09 11.65 15.1 32.89 27.36 23.76 15.85 21.75 19.22
site70 FI Kouvola 43.95 20.62 16.74 25.01 25.39 25.69 21.23 28.6 23.21 25.52
site71 FI Kuopio 10.92 8.68 10.23 25.87 31.84 18.74 16.01 11.87 21.67 17.47
site72 FI Lahti 24.4 24 23.83 65.63 61.58 47.76 24.37 24.26 49.7 38.8
site73 FI Lappeenranta 18.23 16.47 14.45 27.19 14.41 9.78 4.92 13.21 16.46 15.07
site74 FI Mariehamn 0.69 0.67 0.62 0.45 0.84 1.12 1.41 0.92 0.76 0.83
site75 FI Mikkeli 21.96 21.26 27.22 65.99 58.66 31.95 25.71 22.98 45.95 36.11
site76 FI Oulu 18.03 12.72 12.35 26.99 31.43 22.51 12.99 14.58 23.32 19.57
site77 FI Pietarsaari 1.76 2.75 2.04 4.9 3.8 2.11 3.24 2.58 3.21 2.94
site78 FI Pori 14.63 16.29 18.64 28.23 19.53 13.65 11.11 14.01 20.01 17.44
site79 FI Rauma 6.08 4.49 3.73 13.64 12.37 10.35 6.47 5.68 10.02 8.16
site80 FI Rovaniemi 3.52 9.73 32.77 23.32 34.43 27.74 22.4 11.88 29.57 21.99
site81 FI Salo 7.16 12.43 12.73 22.6 13.75 9.56 8.55 9.38 14.66 12.4
site82 FI Savonlinna 6.82 4.79 3.11 5.93 13.35 9.23 11.8 7.8 7.9 7.86
site83 FI Seinäjoki 15.32 14.2 12.43 19.38 22.42 21.76 15.93 15.15 19 17.35
site84 FI Tampere 14.94 16.08 22.95 58.53 49.7 34.18 24.43 18.48 41.34 31.54
site85 FI Turku 18.53 16.82 33.3 73.59 63.74 29.36 18.83 18.06 50 36.31
site86 FI Vaasa 9.07 9.73 8.88 42.55 46.59 33.62 21.5 13.43 32.91 24.56
site87 FI Vihti 15.67 18.14 16.53 33.12 42.82 24.11 12.52 15.44 29.14 23.27
site90 FR Paris Seine Centre 18.05 32.26 33.61 29.92 58.49 32.84 20.84 23.72 38.71 32.29
site98 HR Zagreb 26.71 25.48 25.01 45.03 70.46 48.72 48.21 33.47 47.31 41.38
site99 IS Reykjavik Klettagarðar 20.36 40.38 34.92 52 61.97 64.41 34.94 31.89 53.32 44.14
site100 IT Bozen 1.07 1.03 1.49 2.09 3.71 3.38 1.44 1.18 2.67 2.03
site101 IT Milan 1.03   2.03 3.22 3.37   2.68 1.85 2.88 2.47
site102 LT Kaunas 16.44 15.73 16.35 20.53 30.95 25.97 18.91 17.03 23.45 20.7
site103 LT Klaipeda 15.09 11.18 10.49 13.57 13.99 17 19.66 15.31 13.76 14.42
site104 LT Vilnius 26.54 23.35 23.64 55.34 41.85 28.5 23.57 24.49 37.33 31.83
site105 LV Riga 24.02 33.77 40.93 49.76 66.4 59.88 26.11 27.97 54.24 42.98
site107 NL Amsterdam 101.59 126.87 157.79 99.32 162.62 177.26 139.82 122.76 149.24 137.89
site108 NL Eindhoven 69.95 63.11 138.12 96.54 133.71 110.61 96.4 76.49 119.75 101.21
site111 NL Utrecht 147.69 72.16 88.23 185.82 212.38 123.37 83.82 101.22 152.45 130.5
site112 NO Oslo 21.75 22.05 49.46 45.87 46.37 38.87 22.56 22.12 45.14 35.27
site113 PL Krakow P 25.77 26.76 27.68 31.87 34.36 42.89 25.69 26.07 34.2 30.72
site114 PT Almada 31.58 5.39 5.47 11.94 13.56 41.67 11.08 16.02 18.16 17.24
site115 PT Lisbon 20.3 20.79 22.49 38.65 90.15 73.32 47.1 29.4 56.15 44.68
site116 PT Porto 16.57 11.82 17.23 28.44 40.36 19.79 15.1 14.5 26.46 21.33
site119 RS Novi Sad 7.84 13.32 29.5 44.29 22.41 11.79 8.14 9.77 27 19.61
site121 SE Gävle 19.81 17.57 18.82 40.92 65.37 34.57 27.41 21.6 39.92 32.07
site122 SE Sandviken 4.94 8.67 23 34.66 23.84 20.34 13.17 8.93 25.46 18.37
site123 SE Stockholm (2) 21.66 20.66 19.75 37.33 65.29 37.77 77.16 39.83 40.03 39.95
site124 SE Söderhamn 16.32 10.43 8.45 9.14 19.92 19.44 19.44 15.39 14.24 14.73
site126 SE Uppsala 14.38 14.69 11.02 28.52 38.45 20.13 15.35 14.81 24.53 20.36
site127 SI Domžale-Kamnik 9.25 5.12 8.56 7.27 7.47 6.38 6.63 7 7.42 7.24
site128 SI Koper 3.12 2.46 4.39 5.55   3.22 4.01 3.2 4.39 3.79
site129 SI Ljubljana 11.14 10.54 11.19 17.56 23.89 13.24 630.12 217.27 16.47 102.52
site130 SI Maribor 9.34 9.33 8.53 8.85 7.9 8.64 8.54 9.07 8.48 8.73
site131 SI Novo mesto 2.08 1.82 2.18 3.9 3.39 2.82 2.9 2.26 3.07 2.72
site132 SI Velenje 8.99 2.46 2.16 3.44 8.44 9.13 8.38 6.61 5.79 6.14
site135 TR Adana 29.83 26.54 25.11 46.79 31.65 28.62 27.99 28.12 33.04 30.93
site137 TR Istanbul (II-VII) 19.9 21.67 16.36 24.68 34.6 33.41 33.73 25.1 27.26 26.33

Data from 2019 study

Download as CSV

Cocaine residues in wastewater in selected European cities, 2019
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site1 AT Graz 124.76 117.22 88.68 334.45 174.45 108.25 131.53 124.5 176.46 154.19
site2 AT Hall-Wattens 173.19 183.09 191.67 246.61 260.68 201.64 159.9 172.06 225.15 202.4
site3 AT Innsbruck 271.62 322.16 334.03 381.92 458.94 264.73 276.39 290.06 359.91 329.97
site4 AT Kapfenberg 60.77 52.48 60.52 89.9 85.24 54.65 49.48 54.24 72.58 64.72
site7 AT Mürzzuschlag 24.21 19.11 17.42 21.65 24.13 31.14 29.54 24.29 23.58 23.89
site8 AT Purgstall 14.09 13.47 51.64 18.03 30.71 14.71 11.56 13.04 28.77 22.03
site9 AT Region Millstattersee 36.65 31.64 62.64 79.96 94.81 49.76 32.86 33.71 71.79 55.47
site11 AT Wasserverband Hofsteig 179.8 190.21 251.5 275.2 281.47 185.13 146.98 172.33 248.33 215.76
site14 BE Antwerp Zuid 786.96 1389.77 977.75 1138.32 2048.63 1006.05 1582.17 1252.96 1292.69 1275.66
site15 BE Boom 348.8 475.3 441.35 452.45 455.97 420.65 831.14 551.75 442.61 489.38
site17 BE Brussels 462.05 383.44 567.22 511.16 415.85 454.74 387.46 410.98 487.24 454.56
site19 BE Koksijde 60.48 72.04 85.71 100.86 179.72 44.98 232.11 121.54 102.82 110.84
site22 BE Oostende 215.6 226.4 210.08 284.83 317.19 185.23 306.31 249.44 249.33 249.38
site24 CH Basel 635.02 758.89 763.36 852.12 786.9 640.81 579.33 657.75 760.8 716.63
site25 CH Berne 441 468.7 556.33 563.44 535.19 439.38 396.93 435.55 523.58 485.85
site26 CH Geneva 622 700.3 781.58 819.72   534.83 602.91 641.74 712.05 676.89
site29 CH St. Gallen Hofen 754.26 846.22 943.11 1222.28 1203 723.51 676.36 758.95 1022.98 909.82
site30 CH Zurich 771.53 811.58 870.04 1059.27 1074.69 899.95 749.5 777.54 975.99 890.94
site31 CY Limassol 242.5 219.21 247.18 241.47 303 375.57 277.79 246.5 291.8 272.39
site32 CY Nicosia 158.43 189.83 159.16 283.34 216.37 290.19 274.33 207.53 237.26 224.52
site33 CZ Brno 28.18 27.97 36.9 38.46 61.37 63.22 36.18 30.78 49.99 41.76
site34 CZ Budweis 14.75 14.86 19.24 17.76 27.46 25.4 16.81 15.47 22.47 19.47
site36 CZ Ostrava 18.24 17.27 17.13 37.3 46.73 36.68 18.51 18.01 34.46 27.41
site37 CZ Prague 388.38 422.86 513.32 652.27 586.24 411.76 370.63 393.96 540.9 477.92
site39 DE Chemnitz 5.73 11.38 14.43 25.79 20.08 12.34 3.09 6.73 18.16 13.26
site40 DE Dortmund 308.68 356.67 384.64 494.73 496.03 303.88 278.84 314.73 419.82 374.78
site41 DE Dresden 20.92 20.85 22.78 43.68 43.61 26.05 19.07 20.28 34.03 28.14
site42 DE Dülmen 79.55 63.82 121.08 199.7 176.11 160.27 106.35 83.24 164.29 129.55
site43 DE Erfurt 39.38 36.93 43.57 76.79 75.01 51.97 40.53 38.95 61.83 52.03
site49 DE Munich Gut_Grosslappen 173.06 195.46 236.58 302.07 332.68 229.75 180.26 182.93 275.27 235.7
site52 DE Saarbrucken (2) 149.3 176.66 171.07 179.79 202.25 189.09 137.02 154.33 185.55 172.17
site54 DK Copenhagen 387.78 189.6 465.14 704.98 1502.31 447.59 500.57 359.31 780 599.71
site55 ES Barcelona 877.05 667.17 694.4 725.32 678.45 564.18 695.51 746.58 665.59 700.3
site56 ES Castellon 637.95 617.13 585.96 725.74 960.17 888.16 585.73 613.61 790.01 714.41
site57 ES Madrid VdlV 323.25 648.17 431.18 436.67 527.87 701.81 465.03 478.82 524.38 504.86
site59 ES Santiago 466.5 553.56 359.48 691.65 642.97 477.19 312.43 444.17 542.82 500.54
site60 ES Valencia (3) 510.69 432.13 369.36 187.16 981.8 685.47 251.57 398.13 555.95 488.31
site61 FI Espoo 30.71 40.03 45.37 68.74 63.39 44.08 34.08 34.94 55.39 46.63
site62 FI Helsinki 55.14 50.3 63.03 117.78 108.88 68.48 53.06 52.83 89.54 73.81
site84 FI Tampere 9.91 8.21 12.83 22.19 15.94 9.78 9.85 9.32 15.19 12.67
site85 FI Turku 7.69 7.68 8.19 15.53 20.17 10.93 7.29 7.55 13.71 11.07
site88 FR Bordeaux I 113.61 258.97 188.99 211.17 299.85 373.52 351.19 241.26 268.38 256.76
site90 FR Paris Seine Centre 209.03 246.05 287.3 329.96 354.32 277.13 210.97 222.02 312.18 273.54
site93 GB London 561.78 380.89 666.73 729.32 874.47 534.02 584.56 509.08 701.13 618.82
site94 GR Athens 17.65 64.74 30.48 70.92 81.53 56.29 69.78 50.73 59.81 55.91
site95 GR Eleusis 27.51 11.34 3.29 13.61 16.83 20.86 21.55 20.13 13.65 16.43
site98 HR Zagreb 338.48 359.67 387.6 517.09 520.7 339.37 305.91 334.69 441.19 395.55
site99 IS Reykjavik Klettagarðar 719.97 723.36 701.59 936.55 932.54 641.26 529.49 657.61 802.98 740.68
site100 IT Bozen 368.97 320.73 597.78 431.33 390.19 281.04 254.46 314.72 425.08 377.79
site101 IT Milan 237.42 225.28 216.79 273.73 247.81 244.65 210.18 224.29 245.75 236.55
site102 LT Kaunas 46.54 41.36 52.14 103.62 94.4 70.9 48.31 45.4 80.26 65.32
site103 LT Klaipeda 81.84 55.58 66.38 113.35 135.25 99.63 68.35 68.59 103.65 88.63
site104 LT Vilnius 46.32 48.98 68.71 129.83 111.09 72.46 51.54 48.95 95.52 75.56
site105 LV Riga 60.57 19.6 53.82 49.84 47.5 91.78 78.26 52.81 60.74 57.34
site107 NL Amsterdam 898.05 687.74 825.14 1039.35 1238.79 1007.32 1206.68 930.82 1027.65 986.15
site108 NL Eindhoven 575.01 427.28 499.02 669.88 637.17 548.37 461.21 487.83 588.61 545.42
site111 NL Utrecht 352.02 524.64 468.04 565.26 518.69 396.36 396.76 424.48 487.09 460.25
site112 NO Oslo 154.06 159.96 198.89 257.15 308.5 248.94 207.25 173.76 253.37 219.25
site113 PL Krakow P 29.35 42.61 49.54 62.69 43.4 61.17 37.26 36.41 54.2 46.57
site114 PT Almada 138.39 141.95 169.17 190.98 173.21 142.12 181.99 154.11 168.87 162.54
site115 PT Lisbon 409.47 391.02 465.8 528.29 537.5 465.59 375.74 392.08 499.29 453.34
site116 PT Porto 254.53 248.33 233.75 258.91 300.35 381.14 173.43 225.43 293.54 264.35
site121 SE Gävle 73.64 95.32 78.52 121.64 112.49 65.8 51.28 73.41 94.61 85.53
site123 SE Stockholm (2) 159.57 161.79 176.28 257.27 288.85 245.52 189.29 170.22 241.98 211.23
site126 SE Uppsala 47.85 49.89 48.4 57.3 83.32 80.48 68.68 55.47 67.37 62.27
site127 SI Domžale-Kamnik 194.88 225 274.22 356.09 372.2 189.53 123.86 181.25 298.01 247.97
site128 SI Koper 447.89 510.01 585.02 697.03 665.4 526.84 716.95 558.28 618.57 592.73
site129 SI Ljubljana 354.93 377.15 407.84 539.82 509.32 453.67 365.26 365.78 477.66 429.71
site130 SI Maribor 207.15 181.38 214.55 299.82 361.19 253.17 145.21 177.91 282.18 237.5
site131 SI Novo mesto 183.06 151.03 274.31 489.14 446 93.06 180.53 171.54 325.63 259.59
site132 SI Velenje 110.27 163.83 112.71 181.96 218.22 122.34 187 153.7 158.81 156.62
site133 SK Bratislava (2) 46.88 46.33 62.68 80.69 55.83 52.28 93.67 62.3 62.87 62.62
site134 SK Piestany 28.45 27.5 21.61 57.05 53.99 30.03 13.67 23.21 40.67 33.19
site135 TR Adana 4.15 3.43 2.25 2.66 4.17 2.87 2.23 3.27 2.99 3.11
site137 TR Istanbul (II-VII) 37.3 31.01 33.75 41.35 40.3 35.18 34.66 34.32 37.65 36.22

Download as CSV

Cannabis residues in wastewater in selected European cities, 2019
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site1 AT Graz 66.09 63.65 44.47 88.09 45.07 54.02 55.9 61.88 57.91 59.61
site2 AT Hall-Wattens 61.5 64.16 89.81 57.6 50.29 75.34 62.13 62.59 68.26 65.83
site3 AT Innsbruck 77.79 97.11 70.81 64.04 80.16 90.1 90.33 88.41 76.28 81.48
site4 AT Kapfenberg 70.18 67.09 58.03 68.72 51.72 56.06 88.13 75.13 58.63 65.7
site7 AT Mürzzuschlag 40.22 38.45 33.13 44.26 42.78 47.22 43.71 40.8 41.85 41.4
site8 AT Purgstall 22.95 36.99 33.5 31.17 28.38 28.32 32.88 30.94 30.34 30.6
site9 AT Region Millstattersee 30.74 45.19 32.24 24.62 27.48 35.69 24.56 33.5 30 31.5
site11 AT Wasserverband Hofsteig 70.4 117.54 91.47 70.38 66.21 75.33 75.76 87.9 75.85 81.01
site24 CH Basel 12.53 12.85 13.87 25.19 30.03 18.39 15.75 13.71 21.87 18.37
site25 CH Berne 10.24 6.99 39.08 21.08 6.01 45.25 20.79 12.67 27.86 21.35
site26 CH Geneva 204.36 194.14 220.68 253.32   241.31 188.47 195.65 238.44 217.04
site29 CH St. Gallen Hofen 1.78 11.95 20.2 14.02 11.49 14.1 19.6 11.11 14.95 13.31
site30 CH Zurich 104.39 107.79 157.63 157.55 117.69 183.45 152.93 121.7 154.08 140.2
site33 CZ Brno 42.28 39.96 44.66 34.61 36.82 37.19 58.35 46.86 38.32 41.98
site34 CZ Budweis 41.82 37.15 42.52 42.19 37.27 40.21 50.66 43.21 40.55 41.69
site36 CZ Ostrava 62.8 43.17 45.12 63.4 62.3 62.77 54.54 53.51 58.4 56.3
site37 CZ Prague 147.33 147.29 128.68 124.41 133.22 153.25 151.2 148.61 134.89 140.77
site55 ES Barcelona 209.18 158.02 145.67 145.99 131.07 105.33 153.06 173.42 132.01 149.76
site56 ES Castellon 84.02 82.72 79.17 82.08 81.96 71.43 108.58 91.77 78.66 84.28
site57 ES Madrid VdlV 93.17 105.08 84.62 76.23 80.13 90.45 91.08 96.44 82.86 88.68
site59 ES Santiago 174.93 115.27 157.64 79.41 79.26 131.75 102.13 130.78 112.02 120.06
site60 ES Valencia (3) 96.57 313.49 235.63 82.11 85.47 81.34 111.19 173.75 121.14 143.68
site88 FR Bordeaux I 139.73 105 179.4 140.98 157.79 283.6 192.25 145.66 190.44 171.25
site90 FR Paris Seine Centre 93.5 122.86 104.63 98.9 66.53 94.13 75.17 97.18 91.05 93.67
site94 GR Athens 37.45 46.95 72.42 32.17 51.69 73.86 53.37 45.92 57.53 52.56
site95 GR Eleusis 28.71 10.21 26.34 38.2 20.68 13.7 12.38 17.1 24.73 21.46
site98 HR Zagreb 150.03 204.73 211.8 179.93 173.16 182.14 201.13 185.3 186.76 186.13
site99 IS Reykjavik Klettagarðar 105.5 67.5 71.55 69.21 121.03 78.19 90.04 87.68 84.99 86.15
site100 IT Bozen 47.38 57.07 58.04 46.3 41.85 50.8 40.86 48.44 49.25 48.9
site101 IT Milan 40.74 39.33 27.94 33.48 32.53 41.9 33.84 37.97 33.96 35.68
site107 NL Amsterdam 336.88 225.31 219.53 220.47 239.56 238.76 344.94 302.38 229.58 260.78
site108 NL Eindhoven 168.63 121.06 125 127.71 116.27 119.71 130.29 139.99 122.17 129.81
site111 NL Utrecht 103.06 178.14 129.49 135.21 123.96 131.91 120.57 133.93 130.14 131.76
site113 PL Krakow P 22.33 26.51 18.88 27.38 28.9 39.39 32.32 27.05 28.64 27.96
site114 PT Almada 58.84 50.18 42.17 33.58 44.13 50.62 52.16 53.73 42.63 47.38
site115 PT Lisbon 100.62 106.85 98.7 91.94 90.98 111.62 111.76 106.41 98.31 101.78
site116 PT Porto 57.05 64.03 13.24 97.12 44.19 51.04 44.38 55.15 51.4 53.01
site121 SE Gävle 223.2 197.68 151.81 143.69 112.49 175.83 127.42 182.77 145.95 161.73
site127 SI Domžale-Kamnik 55.79 57.48 49.1 56.48 79.42 37.19 38.27 50.51 55.55 53.39
site128 SI Koper 112.2 96.38 95.82 88.69 93.83 105.75 115.18 107.92 96.02 101.12
site129 SI Ljubljana 93.35 106.61 95.02 98.01 105.75 133.93 92.05 97.34 108.18 103.53
site130 SI Maribor 53.54 41.95 64.05 53.88 63.03 91.42 48.74 48.08 68.1 59.52
site131 SI Novo mesto 131.62 83.41 82.84 49.69 56.31 42.79 56.18 90.4 57.91 71.83
site132 SI Velenje 79.43 95.48 68.13 89.73 104.15 72.93 120.18 98.36 83.73 90
site133 SK Bratislava (2) 32.3 31.75 40.63 30.42 20.52 25.18 41.02 35.03 29.19 31.69
site134 SK Piestany 32.2 30 35.92 30.11 19.97 25.08 20.5 27.57 27.77 27.68
site135 TR Adana 22.1 21.45 17.59 12.59 13.25 13.52 10.83 18.12 14.24 15.9
site137 TR Istanbul (II-VII) 11.39 8.84 8.84 7.68 8.6 9.63 9.76 10 8.69 9.25

Download as CSV

Amphetamine residues in wastewater in selected European cities, 2019
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site1 AT Graz 20.63 21.05 16.67 58.36 27.1 19.59 23.27 21.65 30.43 26.67
site2 AT Hall-Wattens 6.82 8.33 10.47 9.3 10.84 11.9 10.95 8.7 10.63 9.8
site3 AT Innsbruck 14.16 19.76 18.16 24.8 22.4 20.25 15.08 16.33 21.4 19.23
site4 AT Kapfenberg 25.25 22.59 31.69 47.92 34.96 26.9 25.55 24.46 35.37 30.69
site7 AT Mürzzuschlag 7.94 8.58 8.75 12.92 14.33 12.84 10.62 9.05 12.21 10.86
site8 AT Purgstall 11.11 16.87 15.41 14.25 14.69 13.03 10.79 12.92 14.35 13.74
site9 AT Region Millstattersee 2.97 2.71 3.8 2.64 2.79 1.94 1.13 2.27 2.79 2.57
site11 AT Wasserverband Hofsteig 15.39 17.53 19.49 19.4 23.19 16.92 14.64 15.85 19.75 18.08
site14 BE Antwerp Zuid 231.83 408.22 246.91 260.81 337.23 242.96 386.2 342.09 271.98 302.02
site15 BE Boom 146.39 197.25 167.95 201.75 203.59 164.8 399.66 247.76 184.52 211.63
site17 BE Brussels 53.21 44.33 53.71 42.96 36.11 51.11 44.24 47.26 45.97 46.52
site19 BE Koksijde 105.93 92.92 64.99 60.8 139.88 56.5 255.09 151.31 80.54 110.87
site22 BE Oostende 275.58 235.48 246.65 286.84 376.52 226.05 394.39 301.82 284.01 291.64
site24 CH Basel 34.15 36.48 35.9 34.38 32.35 35.88 36.95 35.86 34.63 35.16
site25 CH Berne 43.76 54.93 62.1 58.15 50.72 60.34 52.88 50.52 57.83 54.7
site26 CH Geneva 9.29 9.01 9.92 6.91   7.58 7.34 8.54 8.14 8.34
site29 CH St. Gallen Hofen 47.67 72.24 75.64 62.98 38.77 59.7 75.87 65.26 59.27 61.84
site30 CH Zurich 43.76 48.18 58.09 65.71 68.73 67.87 54.42 48.79 65.1 58.11
site31 CY Limassol 4.67 4.22 4.87 4.67 4.34 5.95 5.15 4.68 4.96 4.84
site32 CY Nicosia 2.01 2.52 1.76 2.3 2.63 2.47 2.59 2.37 2.29 2.33
site36 CZ Ostrava 50.82 37.18 35.41 54.45 57.92 53.91 51.04 46.35 50.42 48.67
site37 CZ Prague 76.32 81.01 88.09 81.86 84.4 79.42 77.9 78.41 83.44 81.29
site39 DE Chemnitz 11.1 9.96 11.07 13.06 12.55 13.61 12.74 11.27 12.57 12.01
site40 DE Dortmund 173.61 190.69 226.03 174.57 187.38 177.94 191.62 185.31 191.48 188.83
site41 DE Dresden 32.01 36.63 47.95 44.11 34.62 27.95 24.83 31.16 38.66 35.44
site42 DE Dülmen 144.19 139.46 191.69 215.63 165.4 180.31 150.79 144.82 188.26 169.64
site43 DE Erfurt 40.31 38.27 45.08 44.84 57.71 51.39 42.52 40.37 49.75 45.73
site49 DE Munich Gut_Grosslappen 21.54 21.28 24.77 29.82 33.76 25.79 26.32 23.05 28.53 26.18
site52 DE Saarbrucken (2) 331.31 325.13 344.31 329.4 332.94 382.38 341.37 332.6 347.26 340.98
site54 DK Copenhagen 71.25 32.22 62.05 69.78 140.12 70.05 74.43 59.3 85.5 74.27
site55 ES Barcelona 20.62 38.49 26.29 46.25 36.91 22.31 34.99 31.37 32.94 32.27
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site57 ES Madrid VdlV 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 28.21 3.49 3.28 3.38 3.3 3.26 25.39 19.03 3.3 10.04
site60 ES Valencia (3) 9.82 8.44 13.11 10.68 8.93 10.04 16.17 11.48 10.69 11.03
site61 FI Espoo 112.94 127.55 126.25 150.43 141.96 101.57 86.21 108.9 130.05 120.99
site62 FI Helsinki 199.61 186.21 191.35 248.6 239.06 181.15 165.21 183.68 215.04 201.6
site84 FI Tampere 114.77 106.67 110.83 191.35 132.9 120.06 103.17 108.2 138.79 125.68
site85 FI Turku 126.21 123.27 134.27 160.32 165.42 131.91 118.77 122.75 147.98 137.17
site88 FR Bordeaux I 0 0 0 0 0 0 0 0 0 0
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site98 HR Zagreb 112.52 83.26 97.11 134.95 140.31 94.96 356.55 184.11 116.83 145.67
site99 IS Reykjavik Klettagarðar 282.07 342.8 320.29 387.9 341.42 318.09 253.76 292.88 341.93 320.91
site100 IT Bozen 1.63 1.56 2.59 2.31 1.7 1.89 1.13 1.44 2.12 1.83
site101 IT Milan 3.48 3.45 3.14 4.01 3.67 4.17 2.96 3.3 3.75 3.56
site102 LT Kaunas 28.67 24.95 56.63 79.79 66.53 30.98 13.94 22.52 58.48 43.07
site103 LT Klaipeda 32.87 17.68 16.56 19.89 23.99 14.1 10.43 20.33 18.64 19.36
site104 LT Vilnius 25.89 35.2 33.56 38.42 34.43 31.44 27.34 29.47 34.46 32.32
site105 LV Riga 77.47 26.21 68.71 54.97 33.09 72.96 71.99 58.56 57.43 57.91
site107 NL Amsterdam 99.19 161.94 140.5 212.06 169.38 217.35 150.6 137.25 184.82 164.43
site111 NL Utrecht 121.06 168.32 137.64 165.8 135.08 142.08 143.37 144.25 145.15 144.77
site112 NO Oslo 121.22 135.35 131.03 190.2 228.18 184.13 122.17 126.25 183.38 158.9
site113 PL Krakow P 54.71 59.21 59.96 85.98 66.58 68.78 66.07 60 70.32 65.9
site114 PT Almada 0.77 0.74 2.1 2.48 1.47 1.69 0.85 0.79 1.93 1.44
site115 PT Lisbon 3.04 3.23 2.71 3.29 2.97 3.6 3.62 3.3 3.14 3.21
site116 PT Porto 2.24 1.35 1.3 2.32 2.25 2.72 1.82 1.8 2.15 2
site121 SE Gävle 472.97 399.84 425.18 668.64 531.88 310.67 289.54 387.45 484.09 442.67
site123 SE Stockholm (2) 417.7 435.9 419 399.46 481.84 513.56 461.11 438.24 453.46 446.94
site126 SE Uppsala 102.63 125.38 114.16 124.37 119.61 99.87 115.33 114.45 114.5 114.48
site127 SI Domžale-Kamnik 2.19 2.71 3.56 4.07 6.82 4.33 3.78 2.89 4.69 3.92
site128 SI Koper 3.91 6.02 14.89 5.53 6.22 6.83 14.17 8.03 8.37 8.22
site129 SI Ljubljana 16.18 13.89 23.13 25.26 30.52 19.61 13.57 14.54 24.63 20.31
site130 SI Maribor 13.75 8.33 13.53 24.98 31.66 17.82 13.78 11.95 22 17.69
site131 SI Novo mesto 11.54 9.77 6.45 14.8 18.82 7.22 22.57 14.62 11.82 13.02
site132 SI Velenje 57.06 86.44 52.1 85.14 115.06 72.13 119.66 87.72 81.11 83.94
site135 TR Adana 1.2 0.56 0.43 0.27 0.52 0.44 0.36 0.7 0.41 0.54
site137 TR Istanbul (II-VII) 3.56 3.33 3.42 3.42 3.39 3.77 3.36 3.42 3.5 3.46

Download as CSV

Methamphetamine residues in wastewater in selected European cities, 2019
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site1 AT Graz 5.04 4.37 2.68 9.9 5.3 5.67 6.78 5.4 5.89 5.68
site2 AT Hall-Wattens 3.61 4.17 3.52 3.28 2.95 1.95 1.87 3.22 2.92 3.05
site3 AT Innsbruck 2.23 1.83 1.89 1.68 2.33 1.42 2.02 2.03 1.83 1.91
site4 AT Kapfenberg 1.81 1.78 1.24 0.46 0.36 2.99 2.88 2.16 1.26 1.65
site7 AT Mürzzuschlag 0 0 0 0 0 0 0 0 0 0
site8 AT Purgstall 0.79 0.41 0.44 2.85 1.61 1.05 3.21 1.47 1.49 1.48
site9 AT Region Millstattersee 0 0 0 0 0 0 0 0 0 0
site11 AT Wasserverband Hofsteig 1.45 2.01 1.85 0.81 1.56 1.9 1.8 1.75 1.53 1.62
site14 BE Antwerp Zuid 24.09 41.61 24.46 22.99 26.88 23.56 39.3 35 24.47 28.98
site15 BE Boom 9.3 13.97 12.02 14.98 9.75 8.34 23.92 15.73 11.27 13.18
site17 BE Brussels 7.88 8.58 11.19 11.76 8.2 11.7 9.5 8.65 10.71 9.83
site19 BE Koksijde 1.02 0.63 1.61 1.44 0.98 0.29 6.7 2.79 1.08 1.81
site22 BE Oostende 1.33 1.28 1.31 3.23 1.61 1.11 1.16 1.26 1.82 1.58
site24 CH Basel 31.66 40.56 34.34 49.42 32.13 35.8 37.67 36.63 37.92 37.37
site25 CH Berne 18 17.96 22.51 22.89 21.42 18.48 20.64 18.86 21.33 20.27
site26 CH Geneva 9.03 12.73 9.1 9.31   9.03 7.88 9.88 9.15 9.51
site29 CH St. Gallen Hofen 12.34 17.08 7.95 6.24 17.39 13.31 14.82 14.75 11.23 12.73
site30 CH Zurich 62.93 61.01 63.89 64.93 66.2 66.27 66.48 63.47 65.32 64.53
site31 CY Limassol 54.4 51.94 53.76 52.89 48.7 60.72 69.13 58.49 54.02 55.93
site32 CY Nicosia 11.08 19.79 14.76 12.43 18.71 22.9 14.23 15.03 17.2 16.27
site36 CZ Ostrava 617.62 415.75 408.41 683.76 790.92 723.71 567.95 533.78 651.7 601.16
site37 CZ Prague 693.19 667.55 712.56 745.14 757.32 866.37 645.94 668.89 770.35 726.87
site39 DE Chemnitz 276.52 258.61 285.26 291.06 282.13 277.79 260.61 265.24 284.06 276
site40 DE Dortmund 0 0 0 0 0 0 0 0 0 0
site41 DE Dresden 151.48 153.56 166.42 221.2 174.67 182.01 148.11 151.05 186.08 171.07
site42 DE Dülmen 0 0 0 0 0 0 0 0 0 0
site43 DE Erfurt 226.64 241.78 254.04 284.38 279.63 249.81 225.99 231.47 266.97 251.75
site49 DE Munich Gut_Grosslappen 6.92 6.83 7.33 8.97 9.61 9.12 7.27 7.01 8.76 8.01
site52 DE Saarbrucken (2) 0 0 0 0 0 0 0 0 0 0
site54 DK Copenhagen 19.68 8.81 20.99 21.73 46.89 21.31 26.31 18.27 27.73 23.68
site55 ES Barcelona 82.27 96.67 127.05 127.69 130.68 98.03 85.44 88.12 120.86 106.83
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site57 ES Madrid VdlV 6.34 8.86 6.3 4.82 4.86 8.28 7.01 7.4 6.06 6.64
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site60 ES Valencia (3) 9.21 7.96 8.78 6.75 8.54 8.93 6.63 7.93 8.25 8.12
site61 FI Espoo 19.64 21.64 25.05 37.83 34.14 26.95 20.15 20.47 30.99 26.49
site62 FI Helsinki 29.73 26.74 38.68 42.39 40.3 30.09 24.68 27.05 37.87 33.23
site84 FI Tampere 6.9 6.59 5.43 6.69 4.83 6.58 4.42 5.97 5.88 5.92
site85 FI Turku 13.51 10.98 10.16 14.47 17.41 12.17 12.1 12.2 13.55 12.97
site88 FR Bordeaux I 0 0 0 0 0 0 0 0 0 0
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site93 GB London 62.06 40.33 64.65 59.76 66.2 51.8 58.36 53.58 60.6 57.59
site94 GR Athens 6.82 16.45 7.5 9.07 13.75 11.42 14.25 12.51 10.44 11.32
site95 GR Eleusis 0.94 0.41 0.82 0.59 0.79 0.96 2.29 1.21 0.79 0.97
site98 HR Zagreb 0 0 0 0 0 0 0 0 0 0
site99 IS Reykjavik Klettagarðar 41.61 35.19 26.76 27.5 28.28 23.57 24.16 33.65 26.53 29.58
site100 IT Bozen 0 0 0 0 0 0 0 0 0 0
site101 IT Milan 17.49 17.27 14.36 15.4 23.32 15.95 27.56 20.77 17.26 18.76
site102 LT Kaunas 40.33 34.55 37.47 44.87 40.54 35.18 25.54 33.47 39.51 36.93
site103 LT Klaipeda 7.74 6.33 8.59 6.87 11.69 8.92 7.38 7.15 9.02 8.22
site104 LT Vilnius 28.8 29.24 41.25 39.04 29.62 26.59 24.4 27.48 34.12 31.28
site105 LV Riga 34.47 10.93 31.66 31.26 23.44 42.28 45.89 30.43 32.16 31.42
site107 NL Amsterdam 39.04 19.58 24.59 25.98 34.44 29.45 47.37 35.33 28.61 31.49
site111 NL Utrecht 13.89 10.7 5.9 6.45 5.26 4.91 14.45 13.01 5.63 8.79
site112 NO Oslo 68.79 81.6 78.62 95.86 115 92.8 72.54 74.31 95.57 86.46
site113 PL Krakow P 4.84 2.12 2.16 2.08 2 3.33 2.4 3.12 2.39 2.7
site114 PT Almada 0 0 0 0 0 0 0 0 0 0
site115 PT Lisbon 0 0 0 0 0 0 0 0 0 0
site116 PT Porto 0 0 0 0 0 0 0 0 0 0
site121 SE Gävle 2.28 3.2 1.16 2.45 1.22 1.08 1.04 2.17 1.48 1.78
site123 SE Stockholm (2) 13.98 13.82 12.8 14.66 13.28 12.71 14.78 14.19 13.36 13.72
site126 SE Uppsala 1.5 1.73 2.33 2.3 2.11 1.58 1.96 1.73 2.08 1.93
site127 SI Domžale-Kamnik 0.28 0.29 0.28 0.28 0.35 0.76 0.29 0.29 0.42 0.36
site128 SI Koper 0.69 0.29 0.28 0.28 0.28 1.09 0.36 0.45 0.48 0.47
site129 SI Ljubljana 6.24 43.9 38.47 11.5 6.22 4.52 4.94 18.36 15.18 16.54
site130 SI Maribor 0.44 0.46 1.09 0.9 1.21 0.55 1.18 0.69 0.94 0.83
site131 SI Novo mesto 0 0 0 0 0 0 0 0 0 0
site132 SI Velenje 0 0 0 0 0 0 0 0 0 0
site137 TR Istanbul (II-VII) 20.29 16 14.76 13.86 13.99 15.42 19.05 18.45 14.51 16.2

Download as CSV

MDMA/ecstasy residues in wastewater in selected European cities, 2019
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site1 AT Graz 8.88 8.56 8.21 43.72 27.1 14.94 10.28 9.24 23.49 17.39
site2 AT Hall-Wattens 5.5 5.13 3.23 10.94 12.8 13.61 6.07 5.57 10.14 8.18
site3 AT Innsbruck 10.33 15.38 15.22 37.84 47 22.17 16.63 14.11 30.56 23.51
site4 AT Kapfenberg 11.2 10.51 15.47 39.01 35.96 29.3 28.14 16.62 29.93 24.23
site7 AT Mürzzuschlag 3.08 3.58 3.79 11.32 18.39 8.84 4.93 3.86 10.58 7.7
site8 AT Purgstall 1.43 0.41 0.44 0.44 7.1 13.62 7.46 3.1 5.4 4.41
site9 AT Region Millstattersee 4.44 2.9 4.4 7.3 6.87 9.18 4.31 3.88 6.94 5.63
site11 AT Wasserverband Hofsteig 20.11 9.11 6.55 14.68 16.33 9.86 6.69 11.97 11.86 11.91
site14 BE Antwerp Zuid 75.87 123.41 99.54 93.87 162.2 129.63 150.15 116.48 121.31 119.24
site15 BE Boom 24.02 34.22 24.25 30.09 27.44 34.87 55.56 37.94 29.16 32.92
site17 BE Brussels 14.6 12.55 16.69 46.87 51.56 37.24 21.07 16.07 38.09 28.65
site19 BE Koksijde 13.76 8.18 5.67 7.41 24.43 13.38 40.84 20.92 12.72 16.24
site22 BE Oostende 20.26 16.67 18.31 26.6 44.43 19.78 35.69 24.2 27.28 25.96
site24 CH Basel 10.67 9.72 16.1 36.35 41.25 25.92 13.55 11.31 29.9 21.94
site25 CH Berne 9.15 8.33 17.01 23.91 39.43 22.22 10.47 9.32 25.64 18.65
site26 CH Geneva 16.93 17.65 23.48 58.83   30.87 18.33 17.64 37.73 27.68
site29 CH St. Gallen Hofen 10.3 8.79 14.4 53.69 69.85 29.71 13.54 10.88 41.91 28.61
site30 CH Zurich 18.69 16.98 19.96 53.63 165.25 71.1 30.03 21.9 77.48 53.66
site31 CY Limassol 13.69 9.81 10.04 8.39 7.17 23.2 23.24 15.58 12.2 13.65
site32 CY Nicosia 14.34 14.91 4.72 6.21 5.68 11.23 12.61 13.95 6.96 9.96
site36 CZ Ostrava 18.35 9.11 6.44 27.85 59.62 35.2 19.42 15.63 32.28 25.14
site37 CZ Prague 46.37 51.55 69.64 182.72 162.87 85.24 58.06 52 125.12 93.78
site39 DE Chemnitz 1.79 1.78 3.36 7.96 14.12 8.08 4.63 2.73 8.38 5.96
site40 DE Dortmund 7.15 14.38 9.43 31.56 16.84 16.7 11.3 10.94 18.63 15.34
site41 DE Dresden 2.27 3.66 3.4 9.9 21.36 11.44 3.99 3.31 11.52 8
site42 DE Dülmen 1.46 1.48 3.03 27.09 20.39 8.64 3.06 2 14.79 9.31
site43 DE Erfurt 5.76 4 4.15 11.3 22.57 18.35 8.14 5.97 14.09 10.61
site49 DE Munich Gut_Grosslappen 4.62 5.25 15.42 26.42 37.46 22.4 8.02 5.96 25.43 17.09
site52 DE Saarbrucken (2) 7.67 7.17 8.55 19.5 30.87 26.59 14.88 9.91 21.38 16.46
site54 DK Copenhagen 10.31 4.99 10.88 36.87 135.42 22.34 37.54 17.61 51.38 36.91
site55 ES Barcelona 27.65 26.26 31.11 67.36 115.28 71 44.65 32.85 71.19 54.76
site56 ES Castellon 6.77 4.89 5.37 6.46 26.09 27.24 9.72 7.13 16.29 12.36
site57 ES Madrid VdlV 5.07 6.6 5.09 4.59 8.51 20.56 13.09 8.25 9.69 9.07
site59 ES Santiago 7.95 7.58 22.56 23.29 23.27 11.87 8.73 8.09 20.25 15.04
site60 ES Valencia (3) 25.93 10.78 11.62 5.98 64.65 38.92 20.97 19.23 30.29 25.55
site61 FI Espoo 10.31 10.65 12.49 47.68 46.6 26.92 12.61 11.19 33.42 23.89
site62 FI Helsinki 15.96 15.92 24.26 83.32 101.83 45.18 21.98 17.96 63.65 44.06
site84 FI Tampere 10.4 11.09 10.47 59.73 37.86 22.26 10.91 10.8 32.58 23.25
site85 FI Turku 6 6.21 12.62 33.26 59.35 27.85 59.57 23.92 33.27 29.26
site88 FR Bordeaux I 3.39 20.51 4 30.47 61.13 97.83 40.92 21.61 48.36 36.89
site90 FR Paris Seine Centre 2.23 2.35 13.31 36.16 76.07 45.51 14.38 6.32 42.76 27.14
site93 GB London 30.05 23 39.88 67.16 102.62 52.4 37.56 30.2 65.51 50.38
site94 GR Athens 3.39 6.26 3.33 7.09 10.32 7.03 7.09 5.58 6.94 6.36
site95 GR Eleusis 2.46 0.33 0.8 0.68 0.34 0.35 0.83 1.21 0.54 0.83
site98 HR Zagreb 20.34 12.45 13.39 30.13 43.39 25.43 110.41 47.73 28.08 36.5
site99 IS Reykjavik Klettagarðar 20.88 19.78 29.26 45.83 66.37 43.72 33.67 24.78 46.3 37.07
site100 IT Bozen 1.77 2.12 8.65 6.81 9.73 3.28 1.52 1.8 7.12 4.84
site101 IT Milan 3.45 4.43 3.42 9.28 12.77 7.8 4 3.96 8.32 6.45
site102 LT Kaunas 23.1 15.77 20.04 41.95 52.86 39.97 28.85 22.57 38.71 31.79
site103 LT Klaipeda 34.38 23.07 20.35 55.11 72.51 54.97 41.67 33.04 50.73 43.15
site104 LT Vilnius 18.38 13.88 22.16 87.23 66.6 43.12 26.34 19.53 54.78 39.67
site105 LV Riga 30.35 9.64 15.43 11.31 16.96 44.1 52.17 30.72 21.95 25.71
site107 NL Amsterdam 453.38 91.05 183.09 246.44 429.95 355.18 252.98 265.8 303.66 287.44
site108 NL Eindhoven 105.5 73.01 90.15 125.22 183.46 125.98 134.37 104.29 131.2 119.67
site111 NL Utrecht 74.96 78.65 100.62 202.05 217.42 110.62 119.55 91.06 157.68 129.13
site112 NO Oslo 33.44 29.79 31.98 56.3 67.54 54.5 44.14 35.79 52.58 45.38
site113 PL Krakow P 11.25 16.76 28.56 45.53 30.7 34.1 20.63 16.22 34.72 26.79
site114 PT Almada 5.15 5.52 6.66 19.87 27.34 18.82 5.92 5.53 18.17 12.75
site115 PT Lisbon 22.19 16.73 17.89 46.38 88.01 73.79 18.73 19.22 56.52 40.53
site116 PT Porto 14.87 15.32 19.17 24.02 31.1 34.94 10.24 13.48 27.31 21.38
site121 SE Gävle 16.7 15.35 9.31 19.59 30.57 15.1 8.81 13.62 18.64 16.49
site123 SE Stockholm (2) 20.37 14.18 13.05 26.79 42.46 45.57 30.02 21.52 31.97 27.49
site126 SE Uppsala 13.66 9.06 10.35 14.74 25.32 27.39 20.16 14.29 19.45 17.24
site127 SI Domžale-Kamnik 5.6 3.7 4.03 6.46 16 4.08 6.29 5.2 7.64 6.6
site128 SI Koper 4.6 3.26 2.4 11.78 21.3 20.49 18.48 8.78 13.99 11.76
site129 SI Ljubljana 12.02 11.2 15.98 44.67 52.1 32.58 15.79 13 36.33 26.33
site130 SI Maribor 12.58 11.57 9.48 23.63 40.6 31.88 10.76 11.63 26.4 20.07
site131 SI Novo mesto 2.46 6.01 25.46 15.15 1.93 5.41 4.94 4.47 11.99 8.77
site132 SI Velenje 5.01 8.54 4.51 10.43 20.83 10.36 11.4 8.32 11.53 10.15
site135 TR Adana 18.72 14.64 12.65 7.35 17.51 16.65 14.04 15.8 13.54 14.51
site137 TR Istanbul (II-VII) 30.81 26.97 24.66 32.65 45.26 40.77 30.53 29.44 35.83 33.09

Data from 2018 study

Download as CSV

Cocaine residues in wastewater in selected European cities, 2018
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site2 AT Hall-Wattens 180.88 177.42 193.59 250.09 232.49 176.75 138.48 165.59 213.23 192.81
site3 AT Innsbruck 277.43 309.18 366.45 421.89 429.46 273.04 271.11 285.91 372.71 335.51
site9 AT Region Millstattersee 50.09 68.75 84.23 91.59 107.63 51.89 50.52 56.45 83.83 72.1
site11 AT Wasserverband Hofsteig 134.63 139.53 162.76 276.42 279.05 154.05 126.7 133.62 218.07 181.88
site14 BE Antwerp Zuid 669.67 750.51 805.87 945.86 792.43 800.29 637.89 686.02 836.11 771.79
site16 BE Brugge 65.76 74.06 53.58 49.06 90.04 38.62 79.48 73.1 57.83 64.37
site17 BE Brussels 345.77 391.83 455.31 562.4 585.36 353.05 334.01 357.2 489.03 432.53
site19 BE Koksijde 54.56 83.29 91.26 109.59 102.49 86.57 81.59 73.15 97.48 87.05
site22 BE Oostende 69.18 157.44 178.82 219.35 180.08 89.42 79.93 102.19 166.92 139.17
site24 CH Basel 535.57 553.72 627.97 621.23 719.54 537.56 501.84 530.38 626.57 585.35
site25 CH Berne 421.95 426.5 506.51 610.15 568.11 418.2 548 465.48 525.74 499.92
site26 CH Geneva 509.39 493.4 673.24 836.39 733.42 488.77 468.43 490.41 682.96 600.44
site29 CH St. Gallen Hofen 564.64 648.84 834.09 990.92 946.86 490.6 482.43 565.3 815.62 708.34
site30 CH Zurich 709.06 764.95 773.04 1199.89 1125.49 783.85 635.45 703.15 970.57 855.96
site33 CZ Brno 18.87 21.91 33.63 31.36 46.46 42.01 28.23 23 38.36 31.78
site34 CZ Budweis 15.86 20.02 26.81 19.42 46.23 43.83 15.4 17.09 34.07 26.8
site38 DE Berlin (4) 308.93 312.14 299.54 392.23 417.43 374.19 297.08 306.05 370.85 343.08
site39 DE Chemnitz 10.52 11.39 19.4 13.23 15.53 7.9 6.45 9.45 14.02 12.06
site40 DE Dortmund 327.41 351.55 391.98 435.67 488.33 350.5 308.15 329.04 416.62 379.08
site41 DE Dresden 26.2 26.78 29.38 58.06 48.74 19.59 24.29 25.76 38.94 33.29
site42 DE Dülmen 46.99 58.36 87.96 157.86 254.46 113.98 98.67 68.01 153.57 116.9
site43 DE Erfurt 42.92 40.39 46.67 61.61 59.08 43.48 28.18 37.16 52.71 46.05
site49 DE Munich Gut_Grosslappen 163.36 158.87 183.11 264.2 248.44 155.03 136.42 152.88 212.7 187.06
site52 DE Saarbrucken (2) 165.12 170.09 196.59 215.15 231.15 177.18 133.17 156.12 205.02 184.06
site54 DK Copenhagen 361.86 336.52 446.2 649.9 582.35 369.45 513.74 404.04 511.98 465.72
site55 ES Barcelona 703.9 793.61 822.13 988.29 880.39 538.16 405.83 634.45 807.24 733.19
site56 ES Castellon 627.56 322.18 147.78 263.55 391.61 183.1 139.54 363.1 246.51 296.47
site57 ES Madrid VdlV 239.1 275.93 298.99 312.54 325.13 452.97 310.66 275.23 347.41 316.47
site59 ES Santiago 200.53 263.44 356.53 441.56 500.77 399.96 302.22 255.4 424.7 352.14
site60 ES Valencia (3) 363.48 231.79 530.62 740.98 762.33 743.42 739.24 444.83 694.34 587.41
site61 FI Espoo 23.05 21.4 23.91 38.7 46.41 28.05 25.32 23.26 34.27 29.55
site62 FI Helsinki 39.48 44.46 49.59 89.77 100.17 68.78 47.93 43.96 77.08 62.88
site63 FI Hämeenlinna 6.8 13.78 8.18 7.87 6.28 4.14 3.48 8.02 6.62 7.22
site64 FI Joensuu 4.76 2.54 1.28 1.74 1.88 1.15 1.06 2.79 1.51 2.06
site65 FI Jyväskylä 3.75 3.17 2.03 3.99 2.94 3.13 3.16 3.36 3.02 3.17
site66 FI Kajaani 0.53 0.12 0.25 0.38 0.11 0.47 0.69 0.45 0.3 0.36
site67 FI Kemi 0.92 1.71 1.47 0.38 0.25 3.98 5.14 2.59 1.52 1.98
site68 FI Kokkola 0.3 0.25 0.28 0.78 1.46 1.37 1.38 0.64 0.97 0.83
site69 FI Kotka 13.26 12.12 15.76 16.89 20.7 23.52 16.53 13.97 19.22 16.97
site70 FI Kouvola 8.26 5.78 13.05 10.96 8.8 4.99 5.82 6.62 9.45 8.24
site71 FI Kuopio 1.62 1.37 3.42 2.72 2.57 1.05 0.35 1.11 2.44 1.87
site72 FI Lahti 26.49 43.79 31.24 63.14 64.95 50.51 29.45 33.24 52.46 44.22
site73 FI Lappeenranta 2.83 3.51 1.73 1.86 2.9 1.99 3.14 3.16 2.12 2.57
site74 FI Mariehamn 35.06 29.67 16.58 22.05 43.12   15.89 26.87 27.25 23.98
site75 FI Mikkeli 2.79 3.2 2.87 2.45 2.06 2.07 1.82 2.6 2.36 2.47
site76 FI Oulu 0.95 0.89 0.78 2.61 6.29 4.05 3.69 1.84 3.43 2.75
site78 FI Pori 1.91 2.59 4.62 6.12 6.82 3.98 4.18 2.89 5.39 4.32
site80 FI Rovaniemi 1.79 1.77 2.72 3.5 4.34 5.16 5.82 3.13 3.93 3.59
site82 FI Savonlinna 0.98 0.82 0.54 0.73 3.1 3.46 3.56 1.79 1.96 1.89
site83 FI Seinäjoki 1.52 0.84 0.93 0.51 0.65 1.21 0.65 1 0.83 0.9
site84 FI Tampere 19.06 16.58 24.56 39.54 43.06 25.27 21.59 19.08 33.11 27.1
site85 FI Turku 5.12 6.01 6.56 10.15 9.94 6.29 4.53 5.22 8.24 6.94
site86 FI Vaasa 1.51 1.55 1.05 1.16 1.87 1.11 0.67 1.24 1.3 1.27
site88 FR Bordeaux I 84.45 64.9 95.52 311.73 338.63 342.31 173.74 107.7 272.05 201.61
site90 FR Paris Seine Centre 432.32 669.1 495.23 610 628.3 288.79 551.12 550.85 505.58 524.98
site91 FR Paris South Suburbs 49.99 41.83 49.25 74.46 94.32 36.2 51.35 47.72 63.56 56.77
site92 GB Bristol 607.03 740.41 887.35 991.02 1331.48 1345.17 882.15 743.2 1138.76 969.23
site98 HR Zagreb 216.96 224.54 284.82 178.51 305.29 247.5 184.14 208.55 254.03 234.54
site99 IS Reykjavik Klettagarðar 486.34 374.88 439.54 614.47 632.97 436.09 365.21 408.81 530.77 478.5
site100 IT Bozen 324.9 333.04 358.08 477.67 458.85 443.9 355.64 337.86 434.63 393.16
site101 IT Milan 336.67 315.21 302.94 349.53 523.16 303.73 404.12 352 369.84 362.19
site102 LT Kaunas 42.73 41.66 47.23 73.9 89.67 65.56 42.35 42.25 69.09 57.59
site103 LT Klaipeda 33.64 40.68 44.72 91.79 121.99 59.89 45.95 40.09 79.6 62.67
site104 LT Vilnius 28.95 33.62 52.29 74.9 79.23 41.9 37.68 33.42 62.08 49.8
site107 NL Amsterdam 720.65 754.53 711.9 788.19 1121.25 1540.14 889.84 788.34 1040.37 932.36
site108 NL Eindhoven 357.02 247.81 410 428.78 513.75 582.24 448.9 351.24 483.69 426.93
site111 NL Utrecht 400.51 437.84 360.81 357.79 479.01 523.1 343.16 393.84 430.18 414.6
site112 NO Oslo 147.89 170.49 298.91 268.19 235.71 209.2 144.28 154.22 253 210.67
site114 PT Almada 28.65 87.44 207.75 148.11 247.54 145.53 92.55 69.55 187.23 136.79
site115 PT Lisbon 535.52 273.02 429.83 509.69 567.74 489.26 376.65 395.06 499.13 454.53
site116 PT Porto 159.82 171.61 229.14 155.19 287.74 272.98 259.93 197.12 236.26 219.48
site127 SI Domžale-Kamnik 122.48 78.22 165.78 293.17 282.56 148.61 132.52 111.07 222.53 174.76
site129 SI Ljubljana 264.29 280.25   382.24 369.84 205.84 233.8 259.45 319.31 289.38
site130 SI Maribor 58.9 99.73 52.73 134.81 153.26 85.23 63.29 73.97 106.51 92.56
site133 SK Bratislava (2) 89.51 63.78 161.52 94.13 99.35 90.6 85.42 79.57 111.4 97.76
site134 SK Piestany 11.38 10.14 8.75 64.17 45.58 10.38 3.66 8.39 32.22 22.01

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Cannabis residues in wastewater in selected European cities, 2018
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site2 AT Hall-Wattens 70.95 67.73 71.21 63.57 62.86 74.63 80.56 73.08 68.06 70.21
site3 AT Innsbruck 84.43 74.62 86.99 130.18 83.16 92.28 85.97 81.68 98.15 91.09
site9 AT Region Millstattersee 35.39 61.06 38.66 36.6 36.3 33.99 33.34 43.26 36.39 39.33
site11 AT Wasserverband Hofsteig 68.12 63.82 64.81 61.83 58.99 69.11 90.56 74.17 63.68 68.18
site33 CZ Brno 27.41 35.26 52.84 32.36 22.97 34.94 39.01 33.89 35.78 34.97
site34 CZ Budweis 52.88 30.47 21.82 18.47 43.24 50.4 40.72 41.35 33.49 36.86
site55 ES Barcelona 177.52 167.33 201.01 228.82 312.33 247.43 281.33 208.73 247.4 230.82
site56 ES Castellon 100.37 62.03 48.12 52.42 51.83 64.31 70.35 77.58 54.17 64.2
site57 ES Madrid VdlV 50.96 61.49 53.6 44.08 59.73 63.18 64.8 59.08 55.15 56.83
site59 ES Santiago 49.39 64.78 74.21 48.3 67.43 81.76 68.45 60.87 67.93 64.9
site60 ES Valencia (3) 29.23 21.71 22.12 19.88 25.3 33.56 32.78 27.91 25.22 26.37
site88 FR Bordeaux I 63.5 117.87 212.98 152.54 148.05 293.14 166.32 115.9 201.68 164.91
site90 FR Paris Seine Centre 82.63 122.9 95.63 70.03 71.23 32.96 106.57 104.03 67.47 83.14
site91 FR Paris South Suburbs 94.03 64.79 65.78 82.71 108.22 108.77 91.55 83.46 91.37 87.98
site94 GR Athens 49.17 75.84 52.11 44.17 41.91 58.06 34.66 53.22 49.06 50.85
site98 HR Zagreb 177.67 138.43 79.21 136.39 86.74 109.19 112.58 142.89 102.89 120.03
site99 IS Reykjavik Klettagarðar 138.01 105.43 84.59 79 74.5 92.2 107.43 116.96 82.57 97.31
site100 IT Bozen 40.99 71.76 43.52 40.12 39.73 42.7 41.04 51.26 41.52 45.7
site101 IT Milan 29.86 23.54 26.87 23.95 38.09 24.66 53.1 35.5 28.39 31.44
site107 NL Amsterdam 231.43 256.7 178.85 187.16 299.28 474.67 221.41 236.52 284.99 264.22
site108 NL Eindhoven 136.36 90.54 185.99 135.55 114.97 84.42 131.13 119.35 130.23 125.57
site111 NL Utrecht 99.36 130.61 83.68 95.62 86.46 114.55 94.32 108.1 95.08 100.66
site114 PT Almada 33.78 68.94 112.56 83.35 96.92 58.81 86.67 63.13 87.91 77.29
site115 PT Lisbon 141.09 64.88 124.08 105 133.68 129.81 125.13 110.36 123.14 117.67
site116 PT Porto 51.73 46.62 24.42 33.68 69.68 30.25 56.33 51.56 39.51 44.67
site127 SI Domžale-Kamnik 22.46 16.45 12.5 24 30.87 31.53 21.89 20.27 24.72 22.81
site129 SI Ljubljana 38.75 39   37.85 39.41 43.58 31.59 36.44 40.28 38.36
site133 SK Bratislava (2) 34.26 34.21 39.9 38.43 42.33 38.47 40.17 36.21 39.78 38.25
site134 SK Piestany 27.85 28.52 18.18 11.55 10.74 16.66 12.19 22.85 14.28 17.96

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Amphetamine residues in wastewater in selected European cities, 2018
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site2 AT Hall-Wattens 4.18 5.22 5.24 6.76 6.86 6.82 5.22 4.87 6.42 5.76
site3 AT Innsbruck 12.33 16.5 16.45 22.39 20.4 16.94 14.34 14.39 19.04 17.05
site9 AT Region Millstattersee 7.42 7.12 7.47 6.78 7.88 6.13 7.2 7.25 7.06 7.14
site11 AT Wasserverband Hofsteig 10.73 10.7 10.03 14.39 12.29 12.78 11.48 10.97 12.37 11.77
site14 BE Antwerp Zuid 177.37 198.03 191.24 200.94 172.89 186.77 142.87 172.76 187.96 181.44
site16 BE Brugge 56.69 58.94 75.5 46.37 61.13 28.15 58.41 58.01 52.79 55.03
site17 BE Brussels 30.56 28.57 31.65 37.96 44.98 35.82 35.18 31.44 37.6 34.96
site19 BE Koksijde 37.01 44.36 70.85 72.96 59.5 51.12 52.2 44.53 63.61 55.43
site22 BE Oostende 69.79 209.64 201.13 215.09 184.58 88.47 92.71 124.05 172.31 151.63
site24 CH Basel 32.63 29.17 48.78 28.76 42.17 36.3 41.4 34.4 39 37.03
site25 CH Berne 32.85 37.74 44.02 48.08 38.64 35.56 24.93 31.84 41.57 37.4
site26 CH Geneva 7.2 8.66 10.52 9.57 10.66 14.37 8.99 8.28 11.28 10
site29 CH St. Gallen Hofen 35.16 51.97 60.14 69.51 43.42 36.26 36.55 41.23 52.33 47.57
site30 CH Zurich 38.13 49.38 42.73 54.16 69.12 60.63 48.17 45.22 56.66 51.76
site31 CY Limassol 8.96 6.84 8.39 7.09 7.28 8.04 6.54 7.44 7.7 7.59
site32 CY Nicosia 4.26 5.5 4.88 5.09 6.66 4.49 5.33 5.03 5.28 5.17
site33 CZ Brno 14.1 14.54 18.26 15.01 14.31 16.23 17.44 15.36 15.95 15.7
site34 CZ Budweis 20.71 16.54 16.37 16.26 24.92 27.52 18.56 18.6 21.27 20.13
site38 DE Berlin (4) 142.2 135.39 122.16 154.79 162.57 154.11 138.72 138.77 148.4 144.28
site39 DE Chemnitz 18.56 19.53 27.28 18.53 22.03 15.81 14.42 17.5 20.91 19.45
site40 DE Dortmund 110.41 143.21 135.84 144.78 154.71 140.26 137.85 130.49 143.9 138.15
site41 DE Dresden 28.69 25.74 23.45 36.05 38.33 18.44 22.76 25.73 29.07 27.64
site42 DE Dülmen 101.49 85.5 109.06 120.73 145.82 104.54 128.01 105 120.04 113.59
site43 DE Erfurt 48.53 31.79 36.11 41.94 40.89 47.86 31.22 37.18 41.7 39.76
site49 DE Munich Gut_Grosslappen 2.88 4.74 2.54 14.35 12.69 3.41 3.48 3.7 8.25 6.3
site52 DE Saarbrucken (2) 373.64 417.07 423.98 446.1 450.59 406.7 333.4 374.7 431.84 407.35
site54 DK Copenhagen 55.32 56.16 56.26 67 51.79 67 62.63 58.04 60.51 59.45
site55 ES Barcelona 49.49 37.79 34.06 41.08 37.08 25.9 20.98 36.09 34.53 35.2
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site57 ES Madrid VdlV 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site60 ES Valencia (3) 12.89 12.4 13.39 15.5 16.51 15.71 14.92 13.41 15.28 14.48
site61 FI Espoo 79.69 74.18 85.23 112.17 108.52 88.47 80.97 78.28 98.6 89.89
site62 FI Helsinki 129.41 142.08 143.59 178.24 184.4 146.72 121.3 130.93 163.24 149.39
site63 FI Hämeenlinna 80.38 94.05 91.39 105.79 103.67 81.35 74.01 82.81 95.55 90.09
site64 FI Joensuu 63.62 37.08 45.47 38.51 27.41 74.39 68.94 56.55 46.44 50.77
site65 FI Jyväskylä 103.17 83.51 101.87 120.79 112.23 95.67 83.74 90.14 107.64 100.14
site66 FI Kajaani 32.79 42.24 35.05 33.94 42.38 35.37 27.61 34.21 36.69 35.63
site67 FI Kemi 138.48 107.05 87.69 90.91 77.97 84.49 109.66 118.4 85.26 99.46
site68 FI Kokkola 24.27 22.39 22.15 27.83 26.68 26.15 26.62 24.43 25.7 25.15
site69 FI Kotka 110.82 109.33 105.93 112.26 104.99 95.5 75.59 98.58 104.67 102.06
site70 FI Kouvola 174.18 144.52 140.93 182.81 173.39 144.47 131.13 149.94 160.4 155.92
site71 FI Kuopio 116.36 84.95 117.8 84.06 93.6 61.56 31.88 77.73 89.25 84.32
site72 FI Lahti 139.85 141.34 148.45 182.6 193.13 154.92 163.74 148.31 169.77 160.58
site73 FI Lappeenranta 54.08 50.97 73.74 98.31 89.9 69.15 51.76 52.27 82.77 69.7
site74 FI Mariehamn 58.64 49.01 60.1 73.28 75.22   45.18 50.94 69.54 57.43
site75 FI Mikkeli 90.55 109.48 112.06 118.2 103.2 74.97 65.3 88.45 102.11 96.25
site76 FI Oulu 81.21 74.63 74.49 75.47 68.48 58.15 53.02 69.62 69.15 69.35
site78 FI Pori 31.83 29.55 40.67 43.77 53.58 44.94 40.11 33.83 45.74 40.64
site80 FI Rovaniemi 105.15 122.37 117.74 147.07 156.64 159.22 162.12 129.88 145.17 138.61
site82 FI Savonlinna 21.95 20.97 25.88 25.25 20.03 15.29 10.79 17.9 21.61 20.02
site83 FI Seinäjoki 61.49 54.22 58.43 80.53 58.73 50.58 38.05 51.25 62.07 57.43
site84 FI Tampere 54.42 59.17 63.99 83.45 82.22 68.6 64.71 59.43 74.57 68.08
site85 FI Turku 61.64 60.63 68.47 70.69 68.06 63.23 71.01 64.43 67.61 66.25
site86 FI Vaasa 64.89 59.67 65.78 70.13 70.26 61.42 61.16 61.91 66.9 64.76
site88 FR Bordeaux I 0 0 0 0 0 0 0 0 0 0
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site91 FR Paris South Suburbs 0 0 0 0 0 0 0 0 0 0
site94 GR Athens 8.82 5.09 9.68 11.15 9.91 11.09 4.72 6.21 10.46 8.64
site98 HR Zagreb 64.92 86.12 117.49 78.23 95.75 49.92 40.14 63.73 85.35 76.08
site99 IS Reykjavik Klettagarðar 209.94 178.1 213.18 230.02 228.55 223.18 185.55 191.2 223.73 209.79
site100 IT Bozen 1.76 1.74 2.32 2.32 2.35 2.96 1.95 1.82 2.49 2.2
site101 IT Milan 0 0 0 0 0 0 0 0 0 0
site102 LT Kaunas 10.92 24.46 13.75 11.13 9.45 16.76   17.69 12.77 14.41
site103 LT Klaipeda 36.08 12.01 14.83 19.52 15.72 27.62 19.35 22.48 19.42 20.73
site104 LT Vilnius 14.98 14.28 18.73 17.8 17.02 14.41 15.67 14.97 16.99 16.12
site107 NL Amsterdam 131.83 142.98 103.23 105.23 199.52 244.47 152.55 142.45 163.11 154.26
site112 NO Oslo 172.84 212.64 229.21 205.65 180.75 221.44 143.5 176.33 209.26 195.15
site114 PT Almada 0.96 0.93 2.89 3.46 1.83 2.69 0.36 0.75 2.72 1.87
site115 PT Lisbon 6.07 1.69 5.34 6.13 6.92 5.82 4.6 4.12 6.05 5.22
site116 PT Porto 1.39 1.59 1.69 1.71 2.85 2.42 1.87 1.62 2.17 1.93
site127 SI Domžale-Kamnik 7.05 4.21 4.74 7.15 7.97 4.4 33.35 14.87 6.06 9.84
site129 SI Ljubljana 19.67 18.34   25.05 25.87 16.59 17.89 18.63 22.5 20.57
site130 SI Maribor 0.78 1.14 1.37 10.94 11.24 0.75 0.78 0.9 6.08 3.86
site133 SK Bratislava (2) 17.13 15.27 24.73 18.23 19.57 22.96 15.74 16.05 21.37 19.09
site134 SK Piestany 41.92 32.33 11.11 23.42 30.28 23.89 5.49 26.58 22.18 24.06
site136 TR Istanbul I 4.44 3.79 3.64 5.84 4.69 4.2 3.46 3.9 4.59 4.29

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Methamphetamine residues in wastewater in selected European cities, 2018
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site2 AT Hall-Wattens 1.81 1 2.14 1.95 1.62 1.95 1.34 1.38 1.91 1.69
site3 AT Innsbruck 2.22 2.35 2.12 1.79 1.97 1.9 2.49 2.35 1.94 2.12
site9 AT Region Millstattersee 0 0 0 0 0 0 0 0 0 0
site11 AT Wasserverband Hofsteig 0.59 1.5 1.48 1.09 1.73 1.48 1.04 1.04 1.44 1.27
site14 BE Antwerp Zuid 17.17 16.9 14.61 17.35 15.78 22.56 18.09 17.39 17.57 17.5
site16 BE Brugge 0 0 0 0 0 0 0 0 0 0
site17 BE Brussels 6.63 7.37 5.92 6.35 7.84 8.9 7.46 7.15 7.25 7.21
site19 BE Koksijde 0 0 0 0 0 0 0 0 0 0
site22 BE Oostende 0 0 0 0 0 0 0 0 0 0
site31 CY Limassol 51.36 47.17 47.18 40.91 38.89 34.57 33.74 44.09 40.39 41.98
site32 CY Nicosia 22.27 25.47 30.77 37.05 33.51 32.18 23.36 23.7 33.38 29.23
site33 CZ Brno 104.67 124.9 140.04 110.09 100.7 111.31 110.84 113.47 115.53 114.65
site34 CZ Budweis 116.77 94.23 91.8 92.69 134.2 155.84 92.82 101.27 118.63 111.19
site38 DE Berlin (4) 17.01 15.18 16.08 18.23 20.13 20.24 19.39 17.19 18.67 18.04
site39 DE Chemnitz 187.8 175.23 266.09 191.7 231.83 156.49 164.28 175.77 211.53 196.2
site40 DE Dortmund 5.87 3.02 2.3 1.87 3.68 1.7 2.22 3.7 2.39 2.95
site41 DE Dresden 175.96 175.17 162.17 238.6 211.01 115.64 143.83 164.99 181.86 174.63
site42 DE Dülmen 0 0 0 0 0 0 0 0 0 0
site43 DE Erfurt 237.69 188.67 208.84 241 211.05 202.23 189.38 205.25 215.78 211.26
site49 DE Munich Gut_Grosslappen 4.45 5.02 5.33 8.24 6.08 4.54 4.29 4.59 6.05 5.42
site52 DE Saarbrucken (2) 2.64 1.87 2.98 2.42 1.61 2.04 1.99 2.16 2.26 2.22
site54 DK Copenhagen 17.51 11.55 11.6 21.03 17.26 15.58 19.01 16.02 16.37 16.22
site55 ES Barcelona 46.19 55.22 48.36 50.45 52.73 38.52 43.68 48.36 47.51 47.88
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site57 ES Madrid VdlV 6.87 6.49 7.46 6.75 9.49 10.9 7.55 6.97 8.65 7.93
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site60 ES Valencia (3) 0.97 0.97 0.77 0.81 0.86 1.07 1.7 1.21 0.88 1.02
site61 FI Espoo 8.86 6.59 7.38 9.46 9.9 8.66 7.07 7.51 8.85 8.27
site62 FI Helsinki 19.11 18.52 18.51 22.21 22.96 17.28 14.52 17.38 20.24 19.02
site63 FI Hämeenlinna 4.51 5.91 5.72 5.29 5.11 4.87 3.55 4.65 5.25 4.99
site64 FI Joensuu 2.71 1.66 1.87 2.84 2.58 2 3.01 2.46 2.32 2.38
site65 FI Jyväskylä 47.79 39.4 55.32 54.31 44.89 43.05 38.24 41.81 49.39 46.14
site66 FI Kajaani 1.8 2.54 2.96 2.43 2.94 4.53 5.47 3.27 3.22 3.24
site67 FI Kemi 3.16 2.84 2.05 2.44 1.88 1.81 1.73 2.58 2.05 2.27
site68 FI Kokkola 1.3 1.39 1.58 2.05 1.51 1.65 1.62 1.44 1.7 1.59
site69 FI Kotka 4.7 4.5 4.08 5.06 6.3 6.65 5.95 5.05 5.52 5.32
site70 FI Kouvola 11.01 6.87 8.41 11.54 12.07 9.74 7.77 8.55 10.44 9.63
site71 FI Kuopio 14.95 13.02 27.02 13.81 28.78 39.37 26.93 18.3 27.25 23.41
site72 FI Lahti 27.55 19.25 25.51 28.46 24.5 14.55 11.21 19.34 23.25 21.58
site73 FI Lappeenranta 5.73 8.59 9.79 9.37 9.71 8.12 5.37 6.56 9.25 8.1
site74 FI Mariehamn 0.83 1.13 1.48 0.94 0.86   1.08 1.02 1.09 1.09
site75 FI Mikkeli 7.16 7.48 5.51 6.37 6.79 4.97 8.59 7.75 5.91 6.7
site76 FI Oulu 3.3 2.99 2.67 2.45 2.27 2.3 2.67 2.99 2.42 2.66
site78 FI Pori 3.73 3.79 4.01 4.03 4.61 3.84 5.13 4.22 4.12 4.16
site80 FI Rovaniemi 3.51 3.87 4.89 6.49 6.93 7.04 7.31 4.9 6.34 5.72
site82 FI Savonlinna 2.12 2.21 2.31 2.05 1.8 2.24 4.43 2.92 2.1 2.45
site83 FI Seinäjoki 4.49 3.85 4.38 4.1 4.5 4.85 3.86 4.07 4.46 4.29
site84 FI Tampere 23.46 20.8 25.03 27.46 24.7 16.38 17.7 20.65 23.39 22.22
site85 FI Turku 5.79 6.65 6.38 5.79 4.64 4.81 5.47 5.97 5.41 5.65
site86 FI Vaasa 19.68 20.77 23.97 21.24 18.42 15.75 13.53 17.99 19.85 19.05
site88 FR Bordeaux I 0 0 0 0 0 0 0 0 0 0
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site91 FR Paris South Suburbs 0 0 0 0 0 0 0 0 0 0
site92 GB Bristol 7.19 8.89 8.8 8.51 4.87 8.25 9.67 8.58 7.61 8.03
site98 HR Zagreb 0 0 0 0 0 0 0 0 0 0
site99 IS Reykjavik Klettagarðar 38.15 30.43 39.12 31.38 26.82 26.82 25.2 31.26 31.03 31.13
site100 IT Bozen 1 1.27 1.07 0.97 0.93 0.96 1.32 1.2 0.98 1.07
site101 IT Milan 10.61 10.66 10.61 12.41 21.19 11.43 13.58 11.62 13.91 12.93
site102 LT Kaunas 40.48 41.34 46.72 49.16 48.51 37.92 131.43 71.08 45.58 56.51
site103 LT Klaipeda 7.14 4.7 7.11 6.58 3.81 6.36 17.78 9.88 5.96 7.64
site104 LT Vilnius 29.73 29.96 33.76 38.53 36.86 32.03 37.57 32.42 35.3 34.06
site107 NL Amsterdam 19.43 25.98 17.93 26.19 35.13 50.93 24.47 23.29 32.54 28.58
site108 NL Eindhoven 5.04 1.62 2.35 2.41 2.69 2.24 2.5 3.05 2.42 2.69
site111 NL Utrecht 0 0 0 0 0 0 0 0 0 0
site112 NO Oslo 24.77 29.97 50.52 45.33 39.84 46.84 29.89 28.21 45.63 38.17
site114 PT Almada 0.08 0.08 0.39 5.34 0.68 0.91 0.14 0.1 1.83 1.09
site115 PT Lisbon 2.02 0.34 1.54 2.01 3.41 1.92 1.67 1.34 2.22 1.85
site116 PT Porto 0.15 0.14 0.48 0.48 0.62 0.39 0.28 0.19 0.49 0.36
site127 SI Domžale-Kamnik 0 0 0 0 0 0 0 0 0 0
site129 SI Ljubljana 3.49 3.05   2.38 1.9 1.37 1.63 2.72 1.89 2.3
site130 SI Maribor 0 0 0 0 0 0 0 0 0 0
site133 SK Bratislava (2) 129.17 115.42 176.38 139.7 138.7 147.1 120.94 121.84 150.47 138.2
site134 SK Piestany 122.77 126.77 37.03 93.04 104.19 66.02 23.47 91 75.07 81.9
site136 TR Istanbul I 8.25 6.79 10.06 47.05 40 17.41 10.28 8.44 28.63 19.98

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MDMA/ecstasy residues in wastewater in selected European cities, 2018
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site2 AT Hall-Wattens 4.81 4.83 2.83 12.09 12.82 9.46 5.72 5.12 9.3 7.51
site3 AT Innsbruck 15.83 13.57 13.1 43.49 56.73 26.14 17.98 15.79 34.86 26.69
site9 AT Region Millstattersee 2.5 3.76 5.8 8.25 12.61 13.87 4.52 3.59 10.13 7.33
site11 AT Wasserverband Hofsteig 3.45 5.03 7.84 14.3 14.78 11.03 5.87 4.79 11.99 8.9
site16 BE Brugge 6.75 5.95 4.53 3.47 8.93 2.96 9.66 7.46 4.97 6.04
site17 BE Brussels 11.11 13.84 15.35 37.66 73.84 32.73 16.05 13.67 39.9 28.66
site19 BE Koksijde 2.44 3.21 10.73 6.93 10.08 9.37 5.55 3.73 9.28 6.9
site22 BE Oostende 5.69 12.98 14.96 15.52 17.92 7.96 6.06 8.25 14.09 11.59
site24 CH Basel 22.07 10.27 13.48 25.98 47.2 25.68 15.73 16.02 28.08 22.92
site25 CH Berne 17.23 9.18 20.15 51.89 53.69 35.22 9 11.81 40.24 28.05
site26 CH Geneva 15.15 21.1 31.3 70.43 89.91 38.77 20.2 18.81 57.61 40.98
site29 CH St. Gallen Hofen 12.66 25.48 41.84 67.42 73.74 49.57 20.07 19.4 58.14 41.54
site30 CH Zurich 24.67 22.82 31.27 95.78 190.36 107.2 41.68 29.72 106.15 73.4
site31 CY Limassol 8.63 6.51 7.8 9.49 11.69 12.38 9.58 8.24 10.34 9.44
site32 CY Nicosia 2.93 3.88 3.42 4.94 3.51 3.12 2.18 3 3.75 3.43
site33 CZ Brno 12.91 10.16 15.61 14.01 52.47 35.7 17.21 13.43 29.45 22.58
site34 CZ Budweis 9.25 6.53 8.54 6.32 26.2 34.82 13.29 9.69 18.97 14.99
site38 DE Berlin (4) 65.81 50.84 31.91 42.68 72.93 85.74 66.89 61.18 58.31 59.54
site39 DE Chemnitz 6.5 16.55 13.33 12.86 18.42 14.23 7.21 10.08 14.71 12.73
site40 DE Dortmund 18.21 15.08 13.53 21.1 36.84 26.92 16.92 16.73 24.6 21.23
site41 DE Dresden 8.99 8.12 8.48 23.92 42.35 14.98 8.8 8.64 22.43 16.52
site42 DE Dülmen 7.05 5.89 12.46 17.01 26.85 12.17 14.2 9.04 17.12 13.66
site43 DE Erfurt 11.88 9.12 16.35 22.52 37.81 23.26 12.44 11.15 24.99 19.06
site49 DE Munich Gut_Grosslappen 10.73 10.03 14.98 32.43 47.05 21.01 11.26 10.67 28.87 21.07
site52 DE Saarbrucken (2) 21.33 35.58 24.15 41.66 63.11 44.11 23.78 26.9 43.26 36.25
site54 DK Copenhagen 10.92 9.43 8.85 32.72 32.64 18.6 14.59 11.64 23.2 18.25
site55 ES Barcelona 25.08 22.04 25.65 68.33 100.75 57.02 28.55 25.22 62.94 46.77
site56 ES Castellon 1.35 1.1 0.95 4.07 8.52 3.03 0.97 1.14 4.14 2.85
site57 ES Madrid VdlV 4.38 3.47 4.61 18.21 29.43 22.3 8.69 5.52 18.63 13.01
site59 ES Santiago 6.65 7.73 12.44 22.15 26.8 14.86 9.63 8 19.06 14.32
site60 ES Valencia (3) 6.66 4.65 4.57 10.19 17.48 16.1 18.4 9.9 12.08 11.15
site61 FI Espoo 10.1 10.6 11.04 30.87 41.3 28.17 17.72 12.81 27.85 21.4
site62 FI Helsinki 17.85 18.45 18.86 59.79 84.23 43.06 22.5 19.6 51.49 37.82
site63 FI Hämeenlinna 5.83 3.53 4.3 13.93 18.48 23.37 12.7 7.35 15.02 11.73
site64 FI Joensuu 7.45 10.24 17.26 23.29 21.25 22.31 15.16 10.95 21.03 16.71
site65 FI Jyväskylä 14.99 13.57 16.22 46.76 39.72 24.29 11.75 13.44 31.75 23.9
site66 FI Kajaani 2.7 2.96 4.49 4.26 13.24 12.27 9.42 5.02 8.56 7.05
site67 FI Kemi 3.83 4.89 2.1 14.1 15.34 6.37 10.95 6.56 9.48 8.23
site68 FI Kokkola 3.9 3.02 2.74 3.61 2.39 2.62 2.58 3.17 2.84 2.98
site69 FI Kotka 8.04 8.31 8.92 9.23 20.51 18.58 15.36 10.57 14.31 12.71
site70 FI Kouvola 7.49 6.56 9.58 17.91 21.92 14.17 6.93 7 15.89 12.08
site71 FI Kuopio 3.87 4.88 17.57 9.11 17.17 8.44 9.66 6.14 13.07 10.1
site72 FI Lahti 11.96 10.28 13.32 25.02 37.65 22.48 19.32 13.85 24.62 20.01
site73 FI Lappeenranta 6.82 7.81 12.26 31.36 23.15 14.21 5.82 6.82 20.24 14.49
site74 FI Mariehamn 27.51 30.31 14.12 20.4 17.57   13.05 23.62 17.37 18.9
site75 FI Mikkeli 15.4 19.76 18.5 32.56 25.87 14.13 11.47 15.54 22.76 19.67
site76 FI Oulu 10.02 10.33 14.38 23.21 25.64 19.99 14.08 11.48 20.8 16.81
site78 FI Pori 8.9 11.92 13.78 18.94 21.63 17.43 11.81 10.88 17.94 14.92
site80 FI Rovaniemi 32.63 25.82 21.94 30.53 37.03 37.18 37.21 31.89 31.67 31.76
site82 FI Savonlinna 2.51 1.42 1.89 7.53 4.85 10.14 9.61 4.51 6.1 5.42
site83 FI Seinäjoki 10.26 14.8 22.57 37.56 45.32 25.82 11.88 12.31 32.82 24.03
site84 FI Tampere 10.06 13.86 13.76 35.58 50.42 25.32 8.08 10.67 31.27 22.44
site85 FI Turku 10.19 7.12 9.21 26.87 34.82 16.89 7.76 8.36 21.95 16.12
site86 FI Vaasa 6 3.99 3.96 14.31 28.54 13.64 11.1 7.03 15.11 11.65
site88 FR Bordeaux I 4.46 4.48 4.23 22.61 43.47 93.14 14.75 7.9 40.86 26.73
site90 FR Paris Seine Centre 3.48 3.42 3.29 52.5 126.42 27.66 23.37 10.09 52.47 34.3
site91 FR Paris South Suburbs 0 0 0 0 0 0 0 0 0 0
site94 GR Athens 3.44 3.38 2.19 3.49 10.06 7.17 3.14 3.32 5.73 4.7
site98 HR Zagreb 17.94 18.51 17.8 29.08 58.58 41.6 25.31 20.59 36.77 29.83
site99 IS Reykjavik Klettagarðar 36.58 31.72 25.49 46.59 68.95 45.45 26.57 31.63 46.62 40.19
site100 IT Bozen 1.97 1.97 4.6 6.56 8.14 6.31 5.5 3.15 6.4 5.01
site101 IT Milan 2.33 1.9 3.28 6.34 18.66 4.37 4.02 2.75 8.16 5.84
site102 LT Kaunas 10.81 9.28 8.54 18.37 26.36 18.34 12.58 10.89 17.9 14.9
site103 LT Klaipeda 10.64 10.08 15.63 41.32 60.11 23.69 13.3 11.34 35.19 24.97
site104 LT Vilnius 10.35 10.81 10.54 43.71 45.04 22.34 17.8 12.99 30.41 22.94
site107 NL Amsterdam 147.15 147.4 92.77 103.52 217.79 309.66 262.51 185.68 180.93 182.97
site111 NL Utrecht 130.88 86.09 54.29 76.64 247.87 336.36 190.11 135.7 178.79 160.32
site112 NO Oslo 11.66 6.82 46.19 41.44 36.42 37.75 16.17 11.55 40.45 28.06
site114 PT Almada 0.51 1.02 22.35 15.29 10.5 16.72 7.46 3 16.21 10.55
site115 PT Lisbon 35.4 25.68 23.75 51.19 117.17 61.33 30.97 30.68 63.36 49.35
site116 PT Porto 6.81 8.96 22.16 14.92 46.37 29.04 19.2 11.66 28.12 21.07
site127 SI Domžale-Kamnik 3.36 2.85 5.58 14.37 19.45 9.61 5.14 3.78 12.25 8.62
site129 SI Ljubljana 14.92 15.58   71.65 63.97 27.81 15.78 15.43 54.48 34.95
site130 SI Maribor 2.51 3.65 1.44 11.63 15.54 6.74 2.64 2.93 8.84 6.31
site133 SK Bratislava (2) 7.23 5.1 23.49 8.4 17.47 13.4 6.86 6.39 15.69 11.71
site134 SK Piestany 1.98 2.22 1.38 3.53 5.21 2.36 0.58 1.59 3.12 2.46

Data from 2017 study

Download as CSV

Cocaine residues in wastewater in selected European cities, 2017
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site3 AT Innsbruck 203.04 191.67 222.07 282.03 278.42 217.47 164.75 186.49 250 222.78
site14 BE Antwerp Zuid 708.02 666.11 873.98 936.86 872.59 854.6 848.33 740.82 884.51 822.93
site15 BE Boom 321.86 419.76 574.03 477.69 470.24   405.76 382.46 507.32 426.8
site17 BE Brussels 322.25 310.53 318.92 359.61 439.06 488.64 377.63 336.8 401.56 373.81
site19 BE Koksijde 51.09 42.59 59.99 98.83 110.55 90.16 77.98 57.22 89.88 75.89
site20 BE Merchtem 199.19 276.24 253.37 257.75 222.68 229.56 204.65 226.69 240.84 234.78
site22 BE Oostende 120.09 116.1 133.8 151.85 180.08 173.31 140.74 125.64 159.76 145.14
site23 BE Ruisbroek (Puurs) 178.65 272.27 298.06 247.73 260.68 234.42 226.96 225.96 260.22 245.54
site24 CH Basel 364.94 443.37   637.56 968.49 490.46 472.36 426.89 698.84 562.86
site25 CH Berne 417.94 324.55 556.96 713.02 696.79 490.73 494.93 412.47 614.37 527.84
site26 CH Geneva 566.85 686.84 834.05 1171.17 989.52 670.07 645.37 633.02 916.2 794.84
site29 CH St. Gallen Hofen 575.17 703.72 866.97 1180.98 935.47 784.03 705.52 661.47 941.86 821.69
site30 CH Zurich 640.01 720.91 837.67 1318.64 1388.86 888.99 745.85 702.26 1108.54 934.42
site33 CZ Brno 13.34 18.39 21.77 55.86 33.06 14.08 12.96 14.9 31.19 24.21
site34 CZ Budweis 9.85 8.04 8.83 10.04 19.1 18.38 13.27 10.39 14.09 12.5
site38 DE Berlin (4) 258.41 268.1 249.69 246.47 389.14 301.84 320.58 282.36 296.78 290.6
site39 DE Chemnitz 18.05 26.63 17.47 26.16 22.76 14.85 16.09 20.26 20.31 20.29
site40 DE Dortmund 354.22 402.17 447.1 520.19 496.91 404.5 375.59 377.33 467.18 428.67
site41 DE Dresden 16.94 16.82 19.61 23.21 32.07 19.98 17.41 17.05 23.72 20.86
site42 DE Dülmen 39.35 84.25 180.71 201.3 71.52 73.79 128.97 84.19 131.83 111.41
site43 DE Erfurt 35.38 37.81 50.65 78.38 56.58 39.3 41.81 38.33 56.23 48.56
site44 DE Frankfurt (3) 391.25 387.52 417.96 578.86 518.5 340.84 360.59 379.79 464.04 427.93
site45 DE Hamburg (2) 328.03 340.15 336.6 543.89 524.91 374.75 301.58 323.25 445.04 392.84
site46 DE Hannover (2) 293.55 232.08 362.28 325.18 428.89 257.94 220.45 248.69 343.57 302.91
site47 DE Magdeburg 109.78 107.34 125.95 164.76 185.56 136.38 123.85 113.66 153.16 136.23
site48 DE Mainz 111.34 152.77 135.43 153.13 122.89 137.2 86.47 116.86 137.16 128.46
site49 DE Munich Gut_Grosslappen 108.77 103.93 131.92 180.36 211.3 129.87 114.98 109.23 163.36 140.16
site50 DE Nuremberg 10.42 7.88 23.52 25.6 29.86 19.97 9.54 9.28 24.73 18.11
site51 DE Rostock 100.57 160.1 139.99 164.86 156.8 137.49 93.11 117.93 149.79 136.13
site52 DE Saarbrucken (2) 155.94 242.79 198.33 211.24 211.24 170.94 163.43 187.39 197.94 193.42
site53 DE Stuttgart 182.48 190.59 310.23 247.84   202.01 167.74 180.27 253.36 216.82
site55 ES Barcelona 709.93 928.31 980.81 1244.07 1201.61 978.2 713.39 783.88 1101.17 965.19
site56 ES Castellon 268.89 252.54 178.34 436.94 405.14 358.29 336.34 285.92 344.68 319.5
site57 ES Madrid VdlV 378.89 344.73 376.79 581.84 492.41 560.14 476.74 400.12 502.79 458.79
site59 ES Santiago 240.65 277.97 304.47 517.31 523.97 292.95 241.43 253.35 409.68 342.68
site60 ES Valencia (3) 349.45 368.32 394.79 527.03 629.57 344.94 366.44 361.41 474.08 425.79
site61 FI Espoo 13.38 13.45 14.88 23.7 27.88 16.75 9.46 12.1 20.8 17.07
site62 FI Helsinki 20.12 18.73 24.83 42 50.48 32.61 20.74 19.86 37.48 29.93
site84 FI Tampere 11.92 14.5 14.37 23.05 23.57 14.87 11.73 12.72 18.96 16.29
site85 FI Turku 3.41 3.31 4.32 4.01 6.63 8.39 3.11 3.28 5.84 4.74
site88 FR Bordeaux I 264.43 153.25 186.4 104.01 479.03 495.49 160.44 192.71 316.23 263.29
site89 FR Fort-de-France P 401.37   344.16 471.89 296.77 475.66 404.12 402.74 397.12 398.99
site90 FR Paris Seine Centre 209.54 239.56 345.48 620.5 359.43 277.84 217.31 222.14 400.81 324.24
site91 FR Paris South Suburbs 71.36 41.59 158.89 137.81 139.43 139.06 42.06 51.67 143.8 104.31
site92 GB Bristol 415.86 677.64 771.99 1161.31 1011.22 689.1 556.06 549.85 908.4 754.74
site94 GR Athens   41.29 36.61   52.4 38.12 33.01 37.15 42.38 38.28
site98 HR Zagreb 175.5 205.44 218.3 301.23 281.67 171.3 160.44 180.46 243.13 216.27
site99 IS Reykjavik Klettagarðar 304.44 447.13 499.93 485.86 587.91 444.56 291.44 347.67 504.56 437.32
site101 IT Milan 316.45 298.14 330.22 416.65 402.25 333.59 292.72 302.44 370.67 341.43
site104 LT Vilnius 23.86 21.79 62.41 22.31 62.77 27.77 21.99 22.55 43.82 34.7
site107 NL Amsterdam 627.82 612.76 606.09 913.45 752.91 937.53 687.75 642.78 802.49 734.04
site108 NL Eindhoven 365.15 347.45 348.1 435.74 586.7 506.27 405.04 372.55 469.2 427.78
site109 NL Nieuwegein Ijssel. 253.88 251.34 305.67 377.56 428.71 353.45 252.94 252.72 366.35 317.65
site110 NL Oudewater 158.29 161.67 194.66 298.93 478.19 318.33 150.93 156.96 322.53 251.57
site111 NL Utrecht 225.37 234.83 252.46 316.42 331.32 306.35 354.42 271.54 301.64 288.74
site112 NO Oslo 68.3 97.43 91.44 91.44 91.44 100.9 107.2 90.98 93.81 92.59
site114 PT Almada 90.06 108.68 76.62 86.24 15.08 101.96 98.08 98.94 69.97 82.39
site115 PT Lisbon 274.36 266.78 286.82 282.26 291.67 227.69   270.57 272.11 271.6
site116 PT Porto 137.86 146.48 181.4 187.41 176.95 166.93 124.49 136.28 178.17 160.22
site129 SI Ljubljana 449.1 459.86 393.18 597.42 468.39 343.22 437.11 448.69 450.55 449.76
site133 SK Bratislava (2) 72.53 81.81 85.31 80.09 93.12 70.92 64.68 73.01 82.36 78.35
site134 SK Piestany 3.86 3.69 6 7.9 9.61 7.9 5.52 4.36 7.85 6.35

Download as CSV

Amphetamine residues in wastewater in selected European cities, 2017
SiteID country city 7 Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site3 AT Innsbruck 13.07 9.57 12.38 19.93 22.61 14.6 11.55 11.4 17.38 14.82
site14 BE Antwerp Zuid 196.01 227.17 192.66 225.56 200.85 188.24 650.77 357.98 201.83 268.75
site15 BE Boom 182.86 206.19 225.29 204.36 182.34   176.74 188.6 204 191.07
site17 BE Brussels 60.66 38.61 42.64 42.12 46.96 61.18 52.01 50.43 48.23 49.17
site19 BE Koksijde 39.59 40.54 48.48 44.73 41.97 44.63 43.64 41.26 44.95 43.37
site20 BE Merchtem 22.72 30.05 31.14 34.17 25.15 25.35 19.1 23.95 28.95 26.81
site22 BE Oostende 197.57 222.65 228.42 259.12 263.93 263.17 219.75 213.32 253.66 236.37
site23 BE Ruisbroek (Puurs) 52.05 60.41 82.15 51.6 49.98 54.31 49.79 54.09 59.51 57.19
site24 CH Basel 26.81 34.3   30.62 40.59 29.99 26.94 29.35 33.73 31.54
site25 CH Berne 66.85 38.19 55.54 53.96 57.08 55.74 45.81 50.28 55.58 53.31
site26 CH Geneva 16.2 20.89 14.67 12.74 13.33 13.31 11.33 16.14 13.51 14.64
site29 CH St. Gallen Hofen 39.52 45.34 45.32 49.49 48.2 41.31 38.26 41.04 46.08 43.92
site30 CH Zurich 44.83 43.18 42.01 48.27 54.89 48.31 45.52 44.51 48.37 46.71
site31 CY Limassol 8.63 8.91 8.36 10.49 10.24 10.62 10.65 9.4 9.93 9.7
site32 CY Nicosia 4.03 4.75 5.03 4.51 4.5 6.8 4.9 4.56 5.21 4.93
site33 CZ Brno 11.26 7.56 7.19 11.87 10.96 5.09 9.23 9.35 8.78 9.02
site34 CZ Budweis 10.79 10.29 6.48 7.22 7.69 9.3 6.51 9.2 7.67 8.33
site38 DE Berlin (4) 111.68 122.45 110.59 98.09 181.7 148.89 136.9 123.68 134.82 130.04
site39 DE Chemnitz 0 0 0 0 0 0 0 0 0 0
site40 DE Dortmund 131.8 150.1 156.78 171.61 267.9 148.74 154.2 145.37 186.26 168.73
site41 DE Dresden 23.57 19.66 20.2 22.7 30.04 25.59 22.28 21.84 24.63 23.43
site42 DE Dülmen 113.44 130.47 172.8 168 129.16 113.64 120.29 121.4 145.9 135.4
site43 DE Erfurt 0 0 0 0 0 0 0 0 0 0
site44 DE Frankfurt (3) 82.41 78.42 90.3 93.59 88.17 77.6 82.17 81 87.42 84.67
site45 DE Hamburg (2) 57.86 61.12 69.71 83.85 83.83 66.48 61.57 60.19 75.97 69.2
site46 DE Hannover (2) 83.08 72.61 93.89 82.04 99.99 78.24 71.29 75.66 88.54 83.02
site47 DE Magdeburg 90.71 83.85 99.18 106.85 111.01 97.6 96.18 90.25 103.66 97.91
site48 DE Mainz 232.65 254.61 216.38 203.89 215.82 236.31 228.51 238.59 218.1 226.88
site49 DE Munich Gut_Grosslappen 21.08 17.04 22.22 33.2 32.86 28.35 23.94 20.69 29.16 25.53
site50 DE Nuremberg 32.34 26.66 47.29 52.54 51.58 49.21 31.94 30.31 50.15 41.65
site51 DE Rostock 125.78 176.62 172.55 159.05 157.29 145.68 112.95 138.45 158.64 149.99
site52 DE Saarbrucken (2) 227.01 285.65 239.11 254.16 239.82 216.11 232.02 248.23 237.3 241.98
site53 DE Stuttgart 72.65 63.96 78.91 65.79   73.68 64.61 67.08 72.79 69.94
site55 ES Barcelona 32.98 38.52 46.07 49.28 56.51 35.24 37.64 36.38 46.78 42.32
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site57 ES Madrid VdlV 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 3.98 4.93 5.82 4.64 3.85 17.31 4.41 4.44 7.91 6.42
site60 ES Valencia (3) 23.48 17.91 21.55 23.1 25.33 19.14 24.26 21.88 22.28 22.11
site61 FI Espoo 32.35 33.76 38.9 46.36 49.09 36.4 30.14 32.08 42.69 38.14
site62 FI Helsinki 38.06 42.87 43.71 58.36 63.76 42.77 45.15 42.03 52.15 47.81
site84 FI Tampere 37.23 38.11 41.08 55.86 47.12 41.73 38.94 38.09 46.45 42.87
site85 FI Turku 45.71 41.98 67.94 52.67 109.17 64.47 71.47 53.05 73.56 64.77
site88 FR Bordeaux I 0 0 0 0 0 0 0 0 0 0
site89 FR Fort-de-France P 0 0 0 0 0 0 0 0 0 0
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site91 FR Paris South Suburbs 0 0 0 0 0 0 0 0 0 0
site92 GB Bristol 41.82 59.27 60.5 52.37 51.23 59.56 51.55 50.88 55.91 53.76
site94 GR Athens   2.25 1.98   0.94 2.45 2.21 2.23 1.79 2.24
site98 HR Zagreb 39.29 51.47 55.01 70.14 67.72 58.6 52.02 47.59 62.87 56.32
site99 IS Reykjavik Klettagarðar 144.55 173.31 158.96 177.58 203.57 179.94 151.5 156.45 180.01 169.91
site101 IT Milan 0 0 0 0 0 0 0 0 0 0
site104 LT Vilnius 13.63 12.26 10.78 13.76 12.1 11 18.01 14.63 11.91 13.08
site107 NL Amsterdam 136.43 98.22 164.3 106.45 138.57 123.51 95.59 110.08 133.21 123.29
site108 NL Eindhoven 168.7 168.5 200.79 181.54 277.08 696.89 208.58 181.93 339.08 271.73
site109 NL Nieuwegein Ijssel. 87.04 69.33 84.04 66.12 86.59 100.7 73.81 76.73 84.36 81.09
site110 NL Oudewater 208.53 218.59 232.41 245.68 242.99 259.04 261.44 229.52 245.03 238.38
site111 NL Utrecht 83.02 67.38 67.11 81.52 78.35 79.19 67.65 72.69 76.54 74.89
site112 NO Oslo 56.17 81.79 45.07 45.07 45.07 79.74 93.77 77.24 53.74 63.81
site113 PL Krakow P 31.38 16.86     18.87 25.83 23.9 24.05 22.35 23.41
site114 PT Almada   1.62 1.31 0.66 0.61 0 3.67 2.65 0.65 1.31
site115 PT Lisbon 3.74 2.31 2.34 4.18 3.4 2.3   3.02 3.05 3.04
site116 PT Porto 0 0 0 0 0 0 0 0 0 0
site129 SI Ljubljana 33.76 41.01 33.31 30.17 35.42 33.1 39.87 38.22 33 35.24
site133 SK Bratislava (2) 7.85 6.11 15.18 10.05 14.63 7.6 11.57 8.51 11.87 10.43
site134 SK Piestany 1.07 1.02 1.08 5.03 1.01 1.05 4.48 2.19 2.04 2.11

Download as CSV

Methamphetamine residues in wastewater in selected European cities, 2017
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site3 AT Innsbruck 2.35 2.71 2.58 5.05 3.04 2.4 1.91 2.32 3.27 2.86
site14 BE Antwerp Zuid 22.17 18.53 26.19 24.53 20.24 21.72 22.83 21.18 23.17 22.32
site15 BE Boom 0 0 0 0 0 0 0 0 0 0
site17 BE Brussels 5.62 6.61 7.21 6.77 6.92 7.64 6.84 6.36 7.13 6.8
site19 BE Koksijde 0 0 0 0 0 0 0 0 0 0
site20 BE Merchtem 0 0 0 0 0 0 0 0 0 0
site22 BE Oostende 0 0 0 0 0 0 0 0 0 0
site23 BE Ruisbroek (Puurs) 0 0 0 0 0 0 0 0 0 0
site24 CH Basel 30.23 42.87   35.83 37.44 35.62 40.27 37.79 36.29 37.04
site25 CH Berne 23.36 15.26 24.15 29.13 25.66 35.05 27.41 22.01 28.5 25.72
site26 CH Geneva 18.17 17.72 19.69 21.34 17.29 19.28 13.22 16.37 19.4 18.1
site29 CH St. Gallen Hofen 8.78 5.02 6.57 13.49 3.95 5.27 8.78 7.53 7.32 7.41
site30 CH Zurich 59.22 54.88 57.78 68.43 60.79 65.81 67.4 60.5 63.2 62.04
site31 CY Limassol 83.02 73.49 64.62 107.71 102.26 83.81 101.15 85.89 89.6 88.01
site32 CY Nicosia 44.13 49.24 43.89 40.93 45.27 40.17 43.14 45.5 42.56 43.82
site33 CZ Brno 166.82 159.41 169.01 271.63 197.16 154.33 181.31 169.18 198.03 185.67
site34 CZ Budweis 211.16 214.57 189.33 200.79 205.9 192.36 186.99 204.24 197.09 200.16
site38 DE Berlin (4) 17.15 22.52 14.66 12.85 13.32 8.97 15.21 18.3 12.45 14.95
site39 DE Chemnitz 221.41 330.39 223.8 223.9 246.22 224.02 214.22 255.34 229.49 240.57
site40 DE Dortmund 0 0 0 0 0 0 0 0 0 0
site41 DE Dresden 191.77 175.81 199.62 159.42 193.21 171.55 169.88 179.15 180.95 180.18
site42 DE Dülmen 0 0 0 0 0 0 0 0 0 0
site43 DE Erfurt 180.37 238.9 217.01 241.13 225.72 195.94 179.52 199.6 219.95 211.23
site44 DE Frankfurt (3) 7.69 8.42 8.8 10.13 9.28 7.66 7.44 7.85 8.97 8.49
site45 DE Hamburg (2) 3.52 3.71 4.56 3.39 3.72 3.14 3.12 3.45 3.7 3.59
site46 DE Hannover (2) 2.95 1.7 1.42 0.94 1.57 1.87 1.59 2.08 1.45 1.72
site47 DE Magdeburg 87.02 73.42 85.28 93.91 92.93 82.6 81.24 80.56 88.68 85.2
site48 DE Mainz 3.55 3.24 3.21 0.99 1.02 1.1 1.12 2.64 1.58 2.03
site49 DE Munich Gut_Grosslappen 9.11 7.3 6.87 8.97 9.58 6.86 7.98 8.13 8.07 8.1
site50 DE Nuremberg 75.19 66.59 108.38 117.42 115.05 99.52 81.23 74.34 110.09 94.77
site51 DE Rostock 2.8 3.65 1.03 2.43 3.19 3.04 1.81 2.76 2.42 2.57
site52 DE Saarbrucken (2) 0 0 0 0 0 0 0 0 0 0
site53 DE Stuttgart 5.82 5.49 6.65 6.36   5.37 5.5 5.6 6.13 5.86
site55 ES Barcelona 49.68 48.82 48.19 51.35 46.99 51.82 45.83 48.11 49.59 48.95
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site57 ES Madrid VdlV 9.97 11.35 10.28 11.13 5.87 14.76 20.69 14.01 10.51 12.01
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site60 ES Valencia (3) 6.93 6.64 7.22 6.48 6.22 6.17 7.36 6.98 6.52 6.72
site61 FI Espoo 48.44 46.77 49.6 42.41 39.37 28.49 26.44 40.55 39.97 40.22
site62 FI Helsinki 42.05 47.19 51.69 52.68 52.42 41.37 34.62 41.29 49.54 46
site84 FI Tampere 27.7 24.54 18.66 29.71 28.83 24.34 20.44 24.23 25.39 24.89
site85 FI Turku 12.14 4.28 20.44 23.99 28.6 21.96 11.75 9.39 23.75 17.59
site88 FR Bordeaux I 0 0 0 0 0 0 0 0 0 0
site89 FR Fort-de-France P 0 0 0 0 0 0 0 0 0 0
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site91 FR Paris South Suburbs 0 0 0 0 0 0 0 0 0 0
site92 GB Bristol 0.12 0.11 0.1 2.14 3.6 0.08 0.08 0.1 1.48 0.89
site94 GR Athens   3.99 3.22   4.51 3.86 3.56 3.77 3.86 3.98
site98 HR Zagreb 0 0 0 0 0 0 0 0 0 0
site101 IT Milan 8.7 8.28 10.78 11.08 13.32 10.25 8.11 8.36 11.36 10.07
site104 LT Vilnius 37.92 39.3 41.68 37.74 41.98 41.29 37.91 38.38 40.67 39.69
site107 NL Amsterdam 15.06 13.18 11.74 16.62 12.75 15.73 12.97 13.74 14.21 14.01
site108 NL Eindhoven 0 0 0 0 0 0 0 0 0 0
site109 NL Nieuwegein Ijssel. 0 0 0 0 0 0 0 0 0 0
site110 NL Oudewater 0 0 0 0 0 0 0 0 0 0
site111 NL Utrecht 0 0 0 0 0 0 0 0 0 0
site112 NO Oslo 79.47 118.63 65.74 65.74 65.74 104.11 148.28 115.46 75.34 92.53
site113 PL Krakow P 0.33 0.45     0.59 0.66 0.55 0.44 0.63 0.5
site114 PT Almada 0.62 0.67 0.59 1.99 0.61 0.76 0.71 0.67 0.99 0.85
site115 PT Lisbon 0 0 0 0 0 0   0 0 0
site116 PT Porto 0.27 0.31 0.41 0.81 0.72 0.48 0.31 0.3 0.6 0.47
site129 SI Ljubljana 0 0 0 0 0 0 0 0 0 0
site133 SK Bratislava (2) 106.21 82.64 197.36 174.42 208.21 170.11 105.73 98.19 187.53 149.24
site134 SK Piestany 73.72 63.76 84.68 78.99 69.59 89.26 86.21 74.57 80.63 78.03

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MDMA/ecstasy residues in wastewater in selected European cities, 2017
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site3 AT Innsbruck 10.38 11.2 11.78 40.01 44.12 19.05 9.85 10.48 28.74 20.91
site14 BE Antwerp Zuid 76.43 59.08 84.93 142.95 115.53 106.96 81.12 72.21 112.59 95.29
site15 BE Boom 17.63 15.44 14.44 22.66 33.48   27.29 20.12 23.52 20.49
site17 BE Brussels 14.71 17.54 13.3 13.05 39.12 49.13 29.18 20.48 28.65 25.15
site19 BE Koksijde 10.29 7.93 7.66 10.95 11.46 12 14.5 10.91 10.52 10.68
site20 BE Merchtem 6.13 11.08 7.15 5.63 4.91 10.01 6.59 7.93 6.93 7.36
site22 BE Oostende 13.74 13.35 10.38 13.19 14.91 22.94 14.15 13.74 15.36 14.66
site23 BE Ruisbroek (Puurs) 10.77 11.42 11.06 8.68 10.74 12.08 11.19 11.13 10.64 10.85
site24 CH Basel 10.28 10.6   36.11 78.39 33.68 18.82 13.23 49.39 31.31
site25 CH Berne 14.05 9.89 18.64 49.28 77.87 41.45 19.85 14.6 46.81 33
site26 CH Geneva 18.05 22.48 33.33 76.78 88.77 65.47 25.38 21.97 66.09 47.18
site29 CH St. Gallen Hofen 7.48 8.97 23.02 41.28 65.87 36.34 11.93 9.46 41.63 27.84
site30 CH Zurich 34.82 59.11 31.31 85.8 197.21 114.24 45.92 46.61 107.14 81.2
site31 CY Limassol 4.57 4.14 4.03 11.87 21.78 10.91 6.61 5.1 12.15 9.13
site32 CY Nicosia 4.22 4.01 3.52 3.77 3.52 4.31 2.63 3.62 3.78 3.71
site33 CZ Brno 5.72 7.77 11.5 76.11 52.73 15.6 8.25 7.24 38.99 25.38
site34 CZ Budweis 4.69 4.83 10.6 9.1 24.06 26.28 17.77 9.1 17.51 13.91
site38 DE Berlin (4) 46.21 30.03 21.38 21.67 67.68 84.98 76.43 50.89 48.93 49.77
site39 DE Chemnitz 3.54 7.44 5.03 14.56 19.84 12.27 5.06 5.35 12.92 9.68
site40 DE Dortmund 9.45 10.91 19.25 21.93 31.65 24.09 12.68 11.01 24.23 18.56
site41 DE Dresden 4.17 4.15 4.75 10.85 22.4 14.13 6.5 4.94 13.03 9.57
site42 DE Dülmen 2.64 7.08 24.62 22.71 10.1 5.9 2.27 4 15.83 10.76
site43 DE Erfurt 3.69 3.62 4.72 11.88 14.6 9.12 5.67 4.32 10.08 7.61
site44 DE Frankfurt (3) 41.57 14.23 11.06 22.16 35.17 20.75 13.02 22.94 22.28 22.57
site45 DE Hamburg (2) 16.02 12.53 15.46 47.56 65.16 42.14 20.17 16.24 42.58 31.29
site46 DE Hannover (2) 17.09 14.41 15.98 18.61 35.87 30.62 21.29 17.59 25.27 21.98
site47 DE Magdeburg 13.22 12.19 10.97 32.3 39.44 27.04 29.3 18.24 27.44 23.49
site48 DE Mainz 12.75 41.58 25.45 35.02 22.37 29.11 15.56 23.29 27.99 25.98
site49 DE Munich Gut_Grosslappen 7.29 7.06 8.25 34.55 57.27 28.35 14.47 9.6 32.1 22.46
site50 DE Nuremberg 4.91 3.29 6.58 20.61 31.93 19.68 8.6 5.6 19.7 13.66
site51 DE Rostock 11.28 15.76 10.11 19.7 36.48 31.21 12.24 13.09 24.37 19.54
site52 DE Saarbrucken (2) 15.05 33.53 24.15 20.9 33.54 30.22 17.78 22.12 27.2 25.02
site53 DE Stuttgart 9.13 8.82 41.49 32.49   32.55 14.52 10.83 35.51 23.17
site55 ES Barcelona 25.25 36.66 24.2 42.27 74.94 89.58 43.52 35.14 57.75 48.06
site56 ES Castellon 5.87 3.51 2.11 18.26 18.77 12.15 13.15 7.51 12.82 10.55
site57 ES Madrid VdlV 7.28 6.81 8.2 18.01 20.42 20.8 10.76 8.28 16.86 13.18
site59 ES Santiago 6.21 7.65 11.93 18.85 27.45 7.93 0.71 4.85 16.54 11.53
site61 FI Espoo 10.94 9.05 9.3 30.81 38.21 24.93 10.62 10.2 25.81 19.12
site62 FI Helsinki 9.85 9.59 11.46 36.28 69.4 34.35 17.04 12.16 37.87 26.85
site84 FI Tampere 25.37 24.33 30.27 59.1 95.77 48.43 28.29 26 58.39 44.51
site85 FI Turku 8.56 8.13 14.53 9.3 27.22 28.01 7.37 8.02 19.76 14.73
site88 FR Bordeaux I 16.19 2.94 2.69 2.52 37.48 53.52 14.93 11.35 24.05 18.61
site89 FR Fort-de-France P 0 0 0 0 0 0 0 0 0 0
site90 FR Paris Seine Centre 22.29 3.11 22.81 69.59 71.37 87.89 26.98 17.46 62.91 43.43
site91 FR Paris South Suburbs 1.91 1.62 11.83 1.65 10.46 7.27 1.62 1.72 7.8 5.19
site92 GB Bristol 11.88 15.48 21.49 68.94 70.86 28.93 13.74 13.7 47.55 33.04
site94 GR Athens   1.8 1.63   6.75 4.14 2 1.9 4.17 2.49
site98 HR Zagreb 14.41 15.7 19.21 43.89 66.89 45.08 23.17 17.76 43.77 32.62
site99 IS Reykjavik Klettagarðar 14.84 20.45 24.74 50.72 68.51 50.41 25.93 20.41 48.6 36.52
site101 IT Milan 1.86 1.56 2.06 6.79 11.11 4.08 2.95 2.12 6.01 4.34
site104 LT Vilnius 6.18 5.84 32.94 6.14 37.25 13.52 9.86 7.29 22.46 15.96
site107 NL Amsterdam 259.05 214.09 136.19 157.35 207.66 345.34 292.32 255.15 211.64 230.29
site108 NL Eindhoven 230.04 210.44 133.54 109.73 201.13 163.94 106.76 182.41 152.09 165.08
site109 NL Nieuwegein Ijssel. 46.66 25.56 37.05 41.43 76.28 71.79 40.42 37.55 56.64 48.45
site110 NL Oudewater 44.54 16.24 11.01 17.07 47.83 35.03 13.04 24.61 27.74 26.39
site111 NL Utrecht 62.36 48.25 42.16 61.05 91.97 67.55 45.39 52 65.68 59.82
site112 NO Oslo 10.22 11.37 22.52 22.52 22.52 26.67 20.67 14.09 23.56 19.5
site113 PL Krakow P 4.62 3.32     10.7 10.34 5.16 4.37 10.52 7.41
site114 PT Almada 8.73 3.37 1.43 8.62 3.8 36.08 3.25 5.12 12.48 9.33
site115 PT Lisbon 15.7 15.72 16.38 42.17 95.86 44.07   15.71 49.62 38.32
site116 PT Porto 10.19 6.25 7.49 13.41 13.11 12.99 12.24 9.56 11.75 10.81
site129 SI Ljubljana 14.28 16.36 11.72 83.9 66.58 30.11 26.15 18.93 48.08 35.59
site133 SK Bratislava (2) 7.75 8.23 11.81 10.92 13.88 11 7.19 7.72 11.9 10.11
site134 SK Piestany 0.58 0.55 0.58 1.65 7.62 3.3 1.41 0.85 3.29 2.24

Data from 2016 study

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Cocaine residues in wastewater in selected European cities, 2016
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site3 AT Innsbruck 140.33 131.03 177.57 236.55 205.33 131.01 111.9 127.75 187.62 161.96
site13 BE Antwerp Deurne 406.43 344.42 394.53 448.28 490.93 410.25 372.49 374.45 436 409.62
site14 BE Antwerp Zuid 776.91 670.11 808.53 1040.18 1406.51 912.82 788.49 745.17 1042.01 914.79
site17 BE Brussels 319.82 376.04 392.35 491.75 516.18 453.48 368.19 354.68 463.44 416.83
site19 BE Koksijde 55.38 34.11 61.97 71.18 195.11 66.64 55.22 48.23 98.73 77.09
site22 BE Oostende 74.7 72.53 83.02 114.53 171.48 93.49 76.26 74.5 115.63 98
site24 CH Basel 366.85 404.11 425.36 557.91 520.9 399 372.08 381.01 475.79 435.17
site25 CH Berne 286.07 284.61 305.19 401.14 357.78 317.61 327.55 299.41 345.43 325.71
site26 CH Geneva 407.72 424.78 515.08 591.17 551.07   418.4 416.97 552.44 484.7
site28 CH Lugano 346.73 392.78 363.3 496.21 421.19 316.96 330.41 356.64 399.41 381.08
site29 CH St. Gallen Hofen 394.96 406.98 448.02 606.8 566.38 410.52 318.58 373.51 507.93 450.32
site30 CH Zurich 597.97 651.59 707.83 904.13 953.55 661.75 580.89 610.15 806.81 722.53
site31 CY Limassol 113.11 118.4 172.99 147.89 166.13 175.15 180.56 137.36 165.54 153.46
site32 CY Nicosia 71.25 59.05 80.7 86.58 105.38 98.74 68.87 66.39 92.85 81.51
site34 CZ Budweis 4.73 2.4 3.08 5.58 9.93 10.36 11.76 6.3 7.24 6.83
site40 DE Dortmund 487.4 538.96 465.1 504.23 450.16 227.3 272.01 432.79 411.7 420.74
site41 DE Dresden 14.26 14.57 17.08 23.95 21.44 15.91 16.68 15.17 19.6 17.7
site42 DE Dülmen 47.47 82.31 92.06 113.78 109 85.01 58.81 62.87 99.96 84.07
site49 DE Munich Gut_Grosslappen 94.37 103.65 161.12 137.1 107.43 106.79 86.07 94.7 128.11 113.79
site55 ES Barcelona 604.16 588.15 666.25 930.6 926.77 642.26 535.54 575.95 791.47 699.1
site56 ES Castellon 287.58 325.69 477.35 479.04 422.04 241.79 319.24 310.83 405.05 364.67
site58 ES Molina de Segura 320.96 402.52 426.09 658.1 654.13 510.41 597.37 440.28 562.18 509.94
site59 ES Santiago 105.78 147.47 144.28 179.5 184.87 154.49 82.35 111.86 165.78 142.68
site60 ES Valencia (3) 201.35 203.83 274.95 419.1 431.28 209.94 90.94 165.37 333.82 261.63
site61 FI Espoo 5.49 6.35 6.76 15 21.41 11.05 7.41 6.42 13.56 10.5
site62 FI Helsinki 12.64 13.15 14.81 24.72 25.63 16.27 10 11.93 20.36 16.75
site64 FI Joensuu 1.76 0.59 0.56 1.27 1.04 0.56 0.49 0.95 0.86 0.9
site65 FI Jyväskylä 0 0 0 0 0 0 0 0 0 0
site69 FI Kotka 1.32 1.6 1.65 3.98 5.77 5.03 2.98 1.97 4.11 3.19
site71 FI Kuopio 1.53 0.53 0.51 1.09 2.44 1.36 0.51 0.86 1.35 1.14
site72 FI Lahti 12.9 29.27 10.06 4.15 6.44 3.98 2.7 14.95 6.16 9.93
site73 FI Lappeenranta 0 0 0 0 0 0 0 0 0 0
site76 FI Oulu 0 0 0 0 0 0 0 0 0 0
site80 FI Rovaniemi 0.97 0.94 0.94 0.93 0.91 0.93 5.11 2.34 0.93 1.53
site82 FI Savonlinna 0 0 0 0 0 0 0 0 0 0
site84 FI Tampere 3.29 6.4 7.83 8.64 8.33 6.65 3.94 4.54 7.86 6.44
site85 FI Turku 1.04 1.08 1.04 2.91 4 1.81 0.75 0.96 2.44 1.8
site86 FI Vaasa 0 0 0 0 0 0 0 0 0 0
site88 FR Bordeaux I 274.4 216.39 303.18 197.04 399.14 180.61 151.44 214.08 269.99 246.03
site90 FR Paris Seine Centre 139.55 124.06 85.72 188.1 248.87 252.9 147.98 137.19 193.9 169.6
site92 GB Bristol 117.02 288.9 349.52 565.38 713.82 367.2 331.05 245.65 498.98 390.41
site93 GB London 637.52 644.05 732.16 1145.32   1120.44 1090.04 790.53 999.31 894.92
site94 GR Athens 21.49 25.47 24.61 36.15 45.65 30.71 28.81 25.25 34.28 30.41
site98 HR Zagreb 121.97 112.53 162.32 262.28 187.81 149 140.3 124.93 190.35 162.32
site99 IS Reykjavik Klettagarðar 87.43 91.29 142.52 120.73 138.06 76.17 48.06 75.6 119.37 100.61
site101 IT Milan 314.74 312.99 263.86 344.35 337.27 308.62 264.3 297.34 313.53 306.59
site108 NL Eindhoven 347.49 401.78 426.65 606.2 695.48 534.84 472.66 407.31 565.79 497.87
site111 NL Utrecht 305.72 273.91 281.14 412.44 363.31 296.82 239.19 272.94 338.43 310.36
site112 NO Oslo 118.66 131.61 200.96     127.78 113.01 121.09 164.37 138.4
site114 PT Almada 69.75 76.18 57.91 85.3 67.9 94.29 25.44 57.12 76.35 68.11
site115 PT Lisbon 218.05 264.75 241.17 306.44 282.32 268.19 224.78 235.86 274.53 257.96
site116 PT Porto 60.59 78.47 90.95 114.94 113.6 89.32 87.39 75.48 102.2 90.75
site123 SE Stockholm (2) 101.39 113.22 113.9 202.39 236.89 136.24 104.99 106.53 172.35 144.14
site133 SK Bratislava (2) 70.78 58.28 58.97 76.99 108.59 82.92 84.28 71.11 81.87 77.26
site134 SK Piestany 14.41 12.71 11.8 35.02 31.08 11.2 24 17.04 22.28 20.03

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Amphetamine residues in wastewater in selected European cities, 2016
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site3 AT Innsbruck 8.75 8.45 10.84 21.47 16.05 12.67 8.9 8.7 15.26 12.45
site13 BE Antwerp Deurne 90.29 85.14 80.01 100.98 101.18 86.11 89.47 88.3 92.07 90.45
site14 BE Antwerp Zuid 185.52 162.38 173.38 213.18 291.26 189.3 179.86 175.92 216.78 199.27
site17 BE Brussels 34.49 30.97 31.18 36.2 48.06 38.82 38.09 34.52 38.56 36.83
site19 BE Koksijde 38.23 21.02 29.88 32.83 89.91 32.17 30.84 30.03 46.2 39.27
site22 BE Oostende 163.21 161.55 189.11 195 254.37 144.81 144.82 156.53 195.82 178.98
site24 CH Basel 28.59 25.71 27.83 31.32 29.31 26.96 22.1 25.47 28.85 27.4
site25 CH Berne 27.54 20.4 20.48 23.73 26.44 24.8 25.79 24.58 23.86 24.17
site26 CH Geneva 10.4 5.55 15.07 6.45 5.96   15.7 10.55 9.16 9.86
site28 CH Lugano 0 0 0 0 0 0 0 0 0 0
site29 CH St. Gallen Hofen 28.68 28.46 36.06 46.93 39.77 27.32 24.39 27.17 37.52 33.09
site30 CH Zurich 24.86 27.49 29.65 43.06 47.57 40.63 32.27 28.21 40.23 35.08
site31 CY Limassol 13.04 7.42 5.23 6.11 7.31 6.84 10.55 10.34 6.37 8.07
site32 CY Nicosia 1.51 1.75 3.42 4.29 5.63 3.89 7.14 3.47 4.31 3.95
site34 CZ Budweis 24.49 15.93 16.91 25.41 22.15 27.82 18.09 19.5 23.07 21.54
site40 DE Dortmund 184.88 179.24 147.2 182.1 157.51 100.25 101.51 155.21 146.77 150.39
site41 DE Dresden 20.41 20.2 22.29 28.21 24.69 21.08 21.54 20.72 24.07 22.63
site42 DE Dülmen 110.21 149.13 199.6 206.08 226.85 185.26 161.65 140.33 204.45 176.97
site49 DE Munich Gut_Grosslappen 22.51 26.08 34.99 28.71 23.13 26 21.77 23.45 28.21 26.17
site55 ES Barcelona 46.88 52.06 41.56 43.12 50.44 42.86 42.56 47.16 44.5 45.64
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site58 ES Molina de Segura 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site60 ES Valencia (3) 6.03 6 7.14 9.48 9.8 6 7.89 6.64 8.1 7.48
site61 FI Espoo 62.34 57.13 66.58 88.93 93.28 74.29 60.38 59.95 80.77 71.85
site62 FI Helsinki 85.52 88.55 93.91 126.17 132.11 98.88 80.27 84.78 112.77 100.77
site64 FI Joensuu 22.42 27.57 35.32 36.8 37.16 29.01 30.48 26.82 34.57 31.25
site65 FI Jyväskylä 17.96 14.61 17.23 20.96 50.35 53.25 23.48 18.68 35.45 28.26
site69 FI Kotka 82.47 71.93 67.93 87.24 95.16 87.77 69.35 74.59 84.53 80.27
site71 FI Kuopio 21.24 18.18 25.79 46.24 58.82 47.24 47.62 29.01 44.52 37.87
site72 FI Lahti 139.82 113.28 129.72 80 127.47 128.49 120.22 124.44 116.42 119.86
site73 FI Lappeenranta 34.56 36.67 41.06 55.76 52.81 33.75 26.23 32.49 45.84 40.12
site76 FI Oulu 40.22 32.37 38.17 30.54 31.52 29.43 25.82 32.8 32.42 32.58
site80 FI Rovaniemi 64.35 70.33 81.21 95.83 91.19 60.75 54.11 62.93 82.24 73.97
site82 FI Savonlinna 11.9 11.6 11.28 20.73 17.95 12.25 10.62 11.37 15.55 13.76
site84 FI Tampere 71.96 75.87 83.91 88.09 88.25 73.73 65.55 71.13 83.49 78.19
site85 FI Turku 57.29 78.23 64.11 85.56 89.46 69.09 60.46 65.33 77.06 72.03
site86 FI Vaasa 29.71 30.15 27.13 34.58 26.58 27.31 32.47 30.78 28.9 29.7
site88 FR Bordeaux I 0 0 0 0 0 0 0 0 0 0
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site92 GB Bristol 59.51 80.14 96.27 90.9 160.5 99.71 152.26 97.3 111.84 105.61
site94 GR Athens 4.19 3.73 2.46 7.93 2.96 5.85 5.16 4.36 4.8 4.61
site98 HR Zagreb 40.41 41.31 43.44 83.58 137.33 74.83 84.72 55.48 84.79 72.23
site99 IS Reykjavik Klettagarðar 101.62 128.5 127.18 105.75 128.77 128.64 71.51 100.54 122.59 113.14
site101 IT Milan 0 0 0 0 0 0 0 0 0 0
site111 NL Utrecht 73.09 106.73 116.01 111.86 99.69 111.73 66.46 82.09 109.82 97.94
site112 NO Oslo 130.54 115.1 104.56     111.38 116.35 120.67 107.97 115.59
site114 PT Almada 0 0 0 0 0 0 0 0 0 0
site115 PT Lisbon 4.88 2.96 3.17 2.94 2.16 2.09 5.1 4.31 2.59 3.33
site116 PT Porto 0 0 0 0 0 0 0 0 0 0
site123 SE Stockholm (2) 226.45 195.3 208.99 219.42 227.11 202.93 181.72 201.16 214.61 208.84
site133 SK Bratislava (2) 69.95 60.33 46.79 61.69 80.2 56.31 87.12 72.47 61.25 66.06
site134 SK Piestany 29.34 26.44 19.67 44.75 38.85 29.71 27.5 27.76 33.24 30.89

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Methamphetamine residues in wastewater in selected European cities, 2016
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site3 AT Innsbruck 2.56 1.85 1.63 1.83 1.96 2.85 1.37 1.93 2.07 2.01
site13 BE Antwerp Deurne 3.58 3.67 3.35 3.42 3.5 3.3 3.17 3.47 3.39 3.43
site14 BE Antwerp Zuid 7.52 6.65 8.64 9.19 13.2 9.95 9.57 7.91 10.25 9.25
site17 BE Brussels 2.47 3.14 3.14 4.48 4.71 4.94 4 3.2 4.32 3.84
site19 BE Koksijde 0 0 0 0 0 0 0 0 0 0
site22 BE Oostende 0 0 0 0 0 0 0 0 0 0
site24 CH Basel 20.43 21.36 17.44 18.03 17.54 19.08 18.87 20.22 18.02 18.97
site25 CH Berne 10.27 9.71 8.18 7.86 7.18 8.4 7.94 9.31 7.9 8.51
site26 CH Geneva 8.01 7.39 7.46 6.54 5.88   5.9 7.1 6.63 6.86
site28 CH Lugano 0.65 0.26 0.24 0.77 0.22 0.23 0.23 0.38 0.37 0.37
site29 CH St. Gallen Hofen 3 2.73 3.31 2.86 1.55 2.14 1.75 2.49 2.46 2.48
site30 CH Zurich 23.03 25.15 25.02 26.33 25.3 26.41 25.74 24.64 25.77 25.28
site31 CY Limassol 17.21 15.93 15.58 7.75 10.35 13.45 18.04 17.06 11.78 14.04
site32 CY Nicosia 3.3 8.64 13.77 12.78 12.62 13.11 12.11 8.02 13.07 10.91
site34 CZ Budweis 274.92 206.48 247.88 287.26 272.39 313.75 230.63 237.34 280.32 261.9
site40 DE Dortmund 6.11 4.08 3.31 3.45 3.02 2.49 3.65 4.61 3.07 3.73
site41 DE Dresden 135.18 135.34 137.3 150.88 128.63 132.86 136.65 135.72 137.42 136.69
site42 DE Dülmen 1.94 2.14 8.92 2.12 2.53 3.3 3.78 2.62 4.22 3.53
site49 DE Munich Gut_Grosslappen 13.2 13.1 50.07 39.92 14.48 25.98 16.87 14.39 32.61 24.8
site55 ES Barcelona 25.23 21.29 23.73 27.17 24.32 24.36 22.27 22.93 24.89 24.05
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site58 ES Molina de Segura 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site60 ES Valencia (3) 0.66 0.93 1.04 0.88 1 0.94 0.95 0.85 0.97 0.91
site61 FI Espoo 99.05 93.78 93.53 103.89 92.84 76.9 66.69 86.5 91.79 89.53
site62 FI Helsinki 77.95 82.1 88.65 89.75 87.07 91.22 67.04 75.7 89.17 83.4
site64 FI Joensuu 2.22 3.4 2.05 1.79 1.93 2.22 1.3 2.31 2 2.13
site65 FI Jyväskylä 63.76 52.75 58.54 69.95 61.5 67.03 72.26 62.92 64.25 63.68
site69 FI Kotka 4.68 6.62 9.87 13.7 26.45 14.78 6.26 5.85 16.2 11.76
site71 FI Kuopio 37.1 29.71 43.04 40.35 35.07 24.99 19.12 28.65 35.86 32.77
site72 FI Lahti 6.28 5.15 2.32 1.84 4.59 2.13 3.98 5.14 2.72 3.76
site73 FI Lappeenranta 6.56 4.82 2.87 2.68 1.04 0.72 0.85 4.08 1.83 2.79
site76 FI Oulu 8.3 7.88 14.07 7.15 13.94 16.35 16.62 10.93 12.88 12.04
site80 FI Rovaniemi 12.71 15.76 7.97 9.78 6.74 9.58 5.29 11.25 8.52 9.69
site82 FI Savonlinna 5.1 5.06 6.06 20.6 46.22 36.04 38.54 16.23 27.23 22.52
site84 FI Tampere 4.85 5.08 3.35 5 4.34 3.51 2.38 4.11 4.05 4.07
site85 FI Turku 38.17 30.64 29.62 28.88 25.39 20.72 15.48 28.1 26.15 26.98
site86 FI Vaasa 1.1 1.19 0.9 2.4 2.79 3.71 3.18 1.82 2.45 2.18
site88 FR Bordeaux I 0 0 0 0 0 0 0 0 0 0
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site92 GB Bristol 0 0 0 0 0 0 0 0 0 0
site94 GR Athens 1.91 3.11 2.76 2.82 3.87 2.9 3.43 2.82 3.09 2.97
site98 HR Zagreb 0 0 0 0 0 0 0 0 0 0
site99 IS Reykjavik Klettagarðar 7.49 6.08 11.27 8.08 11.03 12.86 8.06 7.21 10.81 9.27
site101 IT Milan 14.32 13.49 12.54 14.21 14.29 14.56 13 13.6 13.9 13.77
site108 NL Eindhoven 0.14 2.85 0.14 0.13 0.12 12.64 0.14 1.04 3.26 2.31
site111 NL Utrecht 0 0 0 0 0 0 0 0 0 0
site112 NO Oslo 50.48 50.73 70.48     65.63 53.94 51.72 68.05 58.25
site114 PT Almada 0.53 1.22 0.7 0.67 0.67 0.74 0.87 0.87 0.69 0.77
site115 PT Lisbon 0 0 0 0 0 0 0 0 0 0
site116 PT Porto 0.27 0.3 0.44 0.37 0.81 0.36 1 0.52 0.5 0.51
site123 SE Stockholm (2) 21.22 23.29 19.52 23.09 28.01 28.4 27.79 24.1 24.75 24.47
site133 SK Bratislava (2) 744.56 613.98 469.49 667.5 791.59 630.78 784.5 714.35 639.84 671.77
site134 SK Piestany 263.03 266.96 186.87 466.94 396.25 303.42 288.02 272.67 338.37 310.21

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MDMA/ecstasy residues in wastewater in selected European cities, 2016
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site3 AT Innsbruck 10.5 9.38 11.93 45.43 40.44 18.8 15.61 11.83 29.15 21.73
site13 BE Antwerp Deurne 62.56 44.34 40.1 41.04 48.29 45.63 20.94 42.61 43.77 43.27
site14 BE Antwerp Zuid 70.1 57.59 62.96 90.61 182.15 136.44 88.16 71.95 118.04 98.29
site17 BE Brussels 8.84 10.37 14.14 80.46 74.15 37.65 15.29 11.5 51.6 34.41
site19 BE Koksijde 4.09 1.83 3.97 5.05 15.9 5.43 3.96 3.29 7.59 5.75
site22 BE Oostende 14.05 11.62 10.63 13.3 21.51 12.83 9.91 11.86 14.57 13.41
site24 CH Basel 11.99 11.36 11.31 28.91 51.34 38 20.48 14.61 32.39 24.77
site25 CH Berne 8.52 7.36 10.53 25.38 41.94 26.92 16.2 10.69 26.19 19.55
site26 CH Geneva 11.84 11.47 20.16 66.43 64.71   19.19 14.17 50.43 32.3
site28 CH Lugano 3.83 0.74 0.69 1.77 5.48 3.38 1.75 2.11 2.83 2.52
site29 CH St. Gallen Hofen 14.35 15.52 11.8 37.59 43.36 24.57 10.42 13.43 29.33 22.52
site30 CH Zurich 18.17 16.45 21.73 66.34 177.25 82.26 33.02 22.55 86.9 59.32
site31 CY Limassol 6.11 3.09 2.71 2.31 2.97 3.13 3.65 4.29 2.78 3.43
site32 CY Nicosia 1.74 0.79 0.81 0.7 1.98 2.49 2.27 1.6 1.5 1.54
site34 CZ Budweis 8.59 8.72 6.15 10.85 45.57 35.22 14.47 10.59 24.45 18.51
site40 DE Dortmund 20.88 19.6 16.54 34.22 42.63 19.06 13.27 17.92 28.11 23.74
site41 DE Dresden 7.68 5.83 7.08 19.03 21.44 13.84 14.13 9.21 15.35 12.72
site42 DE Dülmen 7.5 9.09 12.85 24.93 19.22 13.45 11.35 9.31 17.61 14.06
site49 DE Munich Gut_Grosslappen 11.65 10.18 50.64 41.97 13.37 26.09 14.74 12.19 33.02 24.09
site55 ES Barcelona 26.77 20.88 19.97 54.53 107.17 63.95 34.22 27.29 61.41 46.79
site56 ES Castellon 6.85 6.77 3.39 4.29 6.97 6.64 6.84 6.82 5.32 5.96
site58 ES Molina de Segura 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 1.28 3.65 4.89 7.6 7.84 4.27 1.67 2.2 6.15 4.46
site60 ES Valencia (3) 3.63 2.86 3.61 7.57 14.46 9.31 6.83 4.44 8.74 6.9
site61 FI Espoo 7.32 8.9 13.91 54.59 96.9 29.02 12.35 9.52 48.6 31.86
site62 FI Helsinki 9.41 11.67 13.71 54.98 93.41 40.24 15.69 12.26 50.59 34.16
site64 FI Joensuu 2.7 8.01 2.62 3.42 7.5 5.47 2.21 4.31 4.75 4.56
site65 FI Jyväskylä 7.66 14 11.99 27.74 24.6 25.83 5.4 9.02 22.54 16.75
site69 FI Kotka 9.24 5.98 6.83 17.35 26.13 15.56 8.22 7.81 16.47 12.76
site71 FI Kuopio 4.98 4.11 13.36 20.54 30.17 14.5 6.26 5.11 19.64 13.42
site72 FI Lahti 6.46 15.41 11.53 23.95 34.73 23.85 9.89 10.58 23.51 17.97
site73 FI Lappeenranta 1.99 3.71 19.61 39.92 21.07 9.13 6.34 4.01 22.43 14.54
site76 FI Oulu 7.39 7.64 17.07 7.99 16.24 8.47 7.39 7.47 12.44 10.31
site80 FI Rovaniemi 7.12 4.29 4.92 26.11 26.14 21.27 10.08 7.16 19.61 14.27
site82 FI Savonlinna 15.12 7.81 6.86 25.63 47.65 25 15.3 12.74 26.29 20.48
site84 FI Tampere 15.49 20.48 22.41 43.47 52.83 24.55 10.32 15.43 35.82 27.08
site85 FI Turku 4.6 14.12 10.37 24.52 34.16 19.07 9.26 9.32 22.03 16.59
site86 FI Vaasa 11.71 12.43 12.68 37.43 33.73 15.42 7.28 10.47 24.82 18.67
site88 FR Bordeaux I 15.59 7.75 11.55 9.89 35.36 13.55 3.03 10.72 16.14 13.82
site90 FR Paris Seine Centre 5.64 9.69 25.2 44.2 17.1 11.6 6.66 7.33 24.53 17.16
site92 GB Bristol 4.29 13.28 13.83 84.84 162.01 55.25 25.03 14.2 78.98 51.22
site94 GR Athens 1.78 2.09 1.06 3.99 4.59 3.12 1.12 1.66 3.19 2.53
site98 HR Zagreb 19.84 14.24 13.72 72.78 122.52 68.26 33.21 22.43 69.32 49.22
site99 IS Reykjavik Klettagarðar 25.96 28.92 37.83 55.24 58.39 40.01 17.04 23.97 47.87 37.63
site101 IT Milan 1.74 1.41 1.59 6.32 12.05 5.45 2.57 1.91 6.35 4.45
site108 NL Eindhoven 102.17 95.31 47.44 93.78 251.47 171.1 118.91 105.46 140.95 125.74
site111 NL Utrecht 52.63 48.45 40 154.04 142.25 120.69 63.17 54.75 114.25 88.75
site112 NO Oslo 62.09 56.49 157.37     129.06 68.78 62.45 143.22 94.76
site114 PT Almada 2.54 1.55 0.7 4.56 4.67 4.71 0.87 1.65 3.66 2.8
site115 PT Lisbon 15.07 18.36 13.96 44.11 50.51 28.03 18.35 17.26 34.15 26.91
site116 PT Porto 4.74 1.22 3.66 12.42 26.94 10.62 15.84 7.27 13.41 10.78
site123 SE Stockholm (2) 21.95 19.21 14.96 55.25 83.49 43.71 25.71 22.29 49.35 37.75
site133 SK Bratislava (2) 11.09 7.26 15.64 46.11 61.63 19.55 23.56 13.97 35.73 26.41
site134 SK Piestany 6.94 5.59 2.95 18.97 16.51 13.15 7 6.51 12.9 10.16

Data from 2015 study

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Cocaine residues in wastewater in selected European cities, 2015
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site5 AT Klosterneuburg 78.99 66.72 122.87 99.68 76.73 85.37 53.34 66.35 96.16 83.39
site13 BE Antwerp Deurne 473.4 438.05 431.83 534.02 532.4 450.17 402.85 438.1 487.11 466.1
site14 BE Antwerp Zuid 567.92 576.23 617.49 525.29 744.64 623.65 692.63 612.26 627.77 621.12
site17 BE Brussels 395.18 405.3 463.7 600.91 609.57 477.93 353.93 384.8 538.03 472.36
site18 BE Geraardsbergen 42.1 52.5 59.2 59.42 77.4 52.11 46.1 46.9 62.03 55.55
site19 BE Koksijde 58.45 37.59 35.79 61.58 82.03 45.86 40 45.35 56.32 51.62
site21 BE Ninove 68.73 76.2 94.25 138.09 120.41 117.07 74.93 73.29 117.45 98.52
site22 BE Oostende 68.34 63.75 71.08 81.43 115.12 92.67 72.59 68.23 90.08 80.71
site24 CH Basel 36.02 39.49 38.77 53.47 49.65 39.49 40.66 38.72 45.34 42.51
site25 CH Berne 217.1 189.01 203.27 323.61 220.2 233.57 215.78 207.3 245.16 228.93
site26 CH Geneva 412.01 391.03 478.46 589.24 520.95 327.76 379.35 394.13 479.1 442.68
site27 CH Lausanne 237.43 269.23 341.73 418.02 422.81 254.45 253.79 253.48 359.25 313.92
site28 CH Lugano 229.84 209.92 240.2 238.9 218.82 226.04 235.7 225.15 230.99 228.49
site29 CH St. Gallen Hofen 377.48 551.95 717.89 454.45 301.97 267.55 322.87 417.43 435.47 427.74
site30 CH Zurich 469.99 455.91 518.89 631.57 840.03 410.99 377.86 434.59 600.37 529.32
site31 CY Limassol 87.64 101.22 100.6 62.55 70.45 63.21 66.92 85.26 74.2 78.94
site32 CY Nicosia 62.58 78.62 58.87 58.69 52.68 57.7 58.76 66.66 56.98 61.13
site34 CZ Budweis 4.81 4.37 4.47 9.08 5.63 6.79 3.02 4.07 6.49 5.45
site38 DE Berlin (4) 153.47 146.28 121.89 137.76 224.5 217.94 182.53 160.76 175.52 169.2
site40 DE Dortmund 267.12 255.26 270.79 330.18 346.82 230.55 227.53 249.97 294.59 275.46
site41 DE Dresden 6.01 6.23 6.88 8.87 12.62 7.01 7.28 6.51 8.84 7.84
site42 DE Dülmen 12.65 17.63 22.62 41.91 45.88 23.83   15.14 33.56 27.42
site49 DE Munich Gut_Grosslappen 21.63   15.95 19.37   25.97 51.11 36.37 20.43 26.8
site54 DK Copenhagen 338.62 243.32 150.22 243.31 382.82 515.62 486.17 244.05 406.98 337.15
site55 ES Barcelona 399.72 519.31 450.81 520.32 504.99 410.45 299.31 406.12 471.64 443.56
site56 ES Castellon 55.6 117.54 303.96 124.64 122.84 81.29 80.64 84.59 158.18 126.64
site58 ES Molina de Segura 220.46 235.35 173.62 188.84 311.77 276.39 223.03 226.28 237.66 232.78
site59 ES Santiago 62.32 90.1 121.86 147.08 179.95 201.38 143.01 98.48 162.57 135.1
site60 ES Valencia (3) 255.57 243.95 279.94 469.77 380.28 355.82 371.3 290.27 371.45 336.66
site61 FI Espoo 4.73 5.3 4.04 9.38 15.17 8.13 8.12 6.05 9.18 7.84
site62 FI Helsinki 4.34 5.6 7.76 16.39 18.5 10.98 6.2 5.38 13.41 9.97
site84 FI Tampere 5.49 4.21 4.87 5.9 5.63 5.79 3.53 4.41 5.55 5.06
site85 FI Turku 0.65 0.95 1.17 0.75 0.74 0.94 0.73 0.78 0.9 0.85
site90 FR Paris Seine Centre 126.95 146.26 186.04 239.9 192.55 139.87 99.36 124.19 189.59 161.56
site92 GB Bristol 240.78 247.42 226.93 309.49 500.45 368.89 249.8 238.38 357.16 306.25
site93 GB London 746.73 777.57 852.38 1238.8 1259.02 824.75 666.79 730.36 1043.74 909.43
site94 GR Athens 48.43 57.24 68.29 89.56 76.25 48.63 52.8 52.82 70.68 63.03
site96 GR Mytilene 0.26 0.91 0.19 1.11 9.28 4.3 2.52 1.23 3.72 2.65
site97 GR Thessaloniki 5.79 7.98 7.57 7.87 9.21 11.83 17.42 10.4 9.12 9.67
site98 HR Zagreb 92.69 90.69 94.53 102.09 145.14 96.9 81.27 88.22 109.66 100.47
site99 IS Reykjavik Klettagarðar 51.6 62.01 69.81 50.53 60.45 53.67 56.83 56.81 58.62 57.84
site101 IT Milan 191.62 171.84 187.85 199.91 217.25 289.45 184.9 183.77 222.88 206.12
site106 MT Malta 25.67 87.55 68.29 92.09 67.62 66.62 71.27 61.5 73.66 68.45
site107 NL Amsterdam 251.67 671.98 703.91 990.27 967.26 229.28 677.7 533.78 722.68 641.72
site108 NL Eindhoven 251.36 89.58 333.75 479.61 569.77 427.87 109.35 150.1 452.75 323.04
site111 NL Utrecht 184.51 108.95 192.23 255.14 87.07 57.66 151.16 148.21 148.03 148.1
site112 NO Oslo 66.34 136.18 88.64 239.02 206.99 182.61 140.58 114.37 179.31 151.48
site114 PT Almada 58.59 57.42 48.48 64.18 73.88 87.09 55.49 54.83 70.16 63.59
site115 PT Lisbon 231.34 257.38 278.23 308.16 299.3 250.53 225.36 238.03 284.06 264.33
site116 PT Porto 111.2 83.99 103.26 80.21 56.87 124.67 86.76 93.98 91.25 92.42
site133 SK Bratislava (2) 50.8 44.57 71.35 115.98 76.56 56.44 47.7 47.69 80.08 66.2
site134 SK Piestany 4.03 3.78 3.92 8.53 11.02 8.01 3.79 3.87 7.87 6.15

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Amphetamine residues in wastewater in selected European cities, 2015
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site5 AT Klosterneuburg 0 0 0 0 0 0 0 0 0 0
site13 BE Antwerp Deurne 145.2 145.84 136.33 144.61 144.01 137.05 154.52 148.52 140.5 143.94
site14 BE Antwerp Zuid 247.21 257.21 263.74 188.68 275.43 250.08 270.2 258.21 244.48 250.36
site17 BE Brussels 47.12 49.42 56.08 62.28 75.96 67.21 49.86 48.8 65.38 58.28
site18 BE Geraardsbergen 179.1 246.62 203.47 210.47 229.26 214.73 216.41 214.04 214.48 214.29
site19 BE Koksijde 44.95 41.09 44.14 36.15 45 38.61 33.28 39.78 40.98 40.46
site21 BE Ninove 105.75 115.52 120.8 122.85 151.01 104.39 112.97 111.41 124.77 119.04
site22 BE Oostende 174.14 157.49 159.25 188.63 209.11 177.54 169.9 167.18 183.63 176.58
site24 CH Basel 49.42 49.78 49.77 4.33 32.44 41.13 49.63 49.61 31.92 39.5
site25 CH Berne 19.7 20.24 20.8 39.03 31.73 27.93 23.6 21.18 29.87 26.15
site26 CH Geneva 7.42 6.33 6.03 6.73 5.87 4.35 5.16 6.3 5.74 5.98
site27 CH Lausanne 8.06 8.25 13.3 12.28 11.3 9.68 11.34 9.22 11.64 10.6
site28 CH Lugano 0 0 0 0 0 0 0 0 0 0
site29 CH St. Gallen Hofen 31.05 31.02 42.07 37.66 26.6 24.32 25.7 29.26 32.66 31.2
site30 CH Zurich 21.63 18.77 20.76 25.36 37.33 22.86 20.72 20.37 26.58 23.92
site31 CY Limassol 5.9 5.16 8.48 5.62 6.1 5.31 5.95 5.67 6.38 6.07
site32 CY Nicosia 1.15 1.8 1.13 2.63 1.69 1.36 1.1 1.35 1.7 1.55
site34 CZ Budweis 17.54 19.94 19.6 18.92 14.71 21.73 17.11 18.2 18.74 18.51
site38 DE Berlin (4) 119.31 110.03 110.38 109.84 133.97 130.42 140.88 123.41 121.15 122.12
site40 DE Dortmund 159.54 151.53 164.78 190.77 187.91 148.21 141.02 150.7 172.92 163.4
site41 DE Dresden 10.01 9.73 10.36 20.15 25.23 24.18 21.85 13.87 19.98 17.36
site42 DE Dülmen 41.55 44.53 46.22 99.54 77.21 63.86   43.04 71.71 62.15
site49 DE Munich Gut_Grosslappen 0   0 0   0 0 0 0 0
site54 DK Copenhagen 8.12 8.24 8.04 7.91 7.93 55.01 7.5 8.13 19.59 14.68
site55 ES Barcelona 45.89 26.54 30.72 31.11 28.44 27.61 21.44 31.29 29.47 30.25
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site58 ES Molina de Segura 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site60 ES Valencia (3) 9.58 9.9 12.62 11.69 14.24 20.35 13.68 11.05 14.72 13.15
site61 FI Espoo 67.78 72.36 69.63 106.56 114.47 90.93 74.13 71.43 95.4 85.12
site62 FI Helsinki 94.92 98.28 113.03 143.99 144.89 117.62 106.95 100.05 129.88 117.1
site84 FI Tampere 49.38 40 48.4 67.35 65.23 64.87 37.28 42.22 61.46 53.22
site85 FI Turku 68.25 70.06 72.92 101.86 98.46 93.33 86.43 74.91 91.64 84.47
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site92 GB Bristol 87.41 83.58 75.19 85.78 89.6 76.59 80.3 82.06 83.07 82.64
site93 GB London 0 0 0 0 0 0 0 0 0 0
site94 GR Athens 5.05 9.98 10.03 13.08 11.95 10.56 12.37 9.14 11.4 10.43
site96 GR Mytilene 0 0 0 0 0 0 0 0 0 0
site98 HR Zagreb 170.15 159.52 46.2 46.13 50.98 35.44 28.67 119.45 44.69 76.73
site99 IS Reykjavik Klettagarðar 76 76.72 95.89 68.11 60.05 61.67 54.2 68.97 71.43 70.38
site101 IT Milan 1.88 1.8 3.62 1.79 1.8 3.39 4.76 2.43 2.93 2.72
site106 MT Malta 3.52 5.94 2.6 3.82 2.79 3.14 4.2 4.55 3.09 3.72
site107 NL Amsterdam 17.57 55.22 106.7 91.34 65.18 16.1 61.3 44.69 69.83 59.06
site111 NL Utrecht 49.43 30.16 40.48 49.02 14.59 16.23 55.13 44.91 30.08 36.43
site112 NO Oslo 136.98 129.02 136.66 142.17 91.42 131.31 88.57 118.19 125.39 122.3
site114 PT Almada 1.88 1.82 1.57 1.22 2.35 3.09 1.27 1.76 1.98 1.89
site115 PT Lisbon 0.75 0.76 0.76 3.99 7.38 5.7 3.25 1.59 4.46 3.23
site116 PT Porto 0 0 0 0 0 0 0 0 0 0
site133 SK Bratislava (2) 25.27 22.75 21.31 21.91 32.83 25.05 25.91 23.11 26.43 25
site134 SK Piestany 15.53 12.43 22.95 29.58 31.91 33.64 17.32 15.1 29.52 23.34

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Methamphetamine residues in wastewater in selected European cities, 2015
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site5 AT Klosterneuburg 0 0 0 0 0 0 0 0 0 0
site13 BE Antwerp Deurne 17.3 15.07 13.46 14.22 13.41 12.75 14.84 15.74 13.46 14.43
site14 BE Antwerp Zuid 8.16 8.46 7.44 6.09 10.5 11.09 9.91 8.85 8.78 8.81
site17 BE Brussels 3.86 3.35 3.95 3.78 3.59 3.99 3.15 3.45 3.83 3.67
site18 BE Geraardsbergen 0 0 0 0 0 0 0 0 0 0
site19 BE Koksijde 1.06 0.65 1.44 1.29 1.17 0.95 0.91 0.87 1.21 1.07
site21 BE Ninove 0.89 0.73 0.71 0.68 0.98 1.5 1.59 1.07 0.99 1.01
site22 BE Oostende 0.6 0.88 0.91 0.69 0.79 2.05 1.75 1.08 1.11 1.1
site24 CH Basel 4.19 4.17 3.85 11.46 108.14 4.11 288.8 99.05 31.89 60.67
site25 CH Berne 12.1 10.98 11.6 17.35 12.37 12.22 10.94 11.34 13.38 12.51
site26 CH Geneva 7.42 5.96 6.03 6.31 6.6 6.16 5.52 6.3 6.28 6.29
site27 CH Lausanne 3.04 2.23 2.57 2.28 2.73 1.76 1.59 2.29 2.33 2.32
site28 CH Lugano 0 0 0 0 0 0 0 0 0 0
site29 CH St. Gallen Hofen 0 0 0 0 0 0 0 0 0 0
site30 CH Zurich 22.38 18.01 21.91 24.88 30.92 23.28 21.1 20.5 25.25 23.21
site31 CY Limassol 32.25 36.26 35.11 27.32 29.58 33.88 31.46 33.32 31.47 32.27
site32 CY Nicosia 4.98 7.35 7.62 19.85 9.8 16.57 7.35 6.56 13.46 10.5
site34 CZ Budweis 165.77 171.51 173.46 162.18 124.98 181.68 148.73 162 160.57 161.18
site38 DE Berlin (4) 8.74 9.18 8.33 8.18 10.88 10.21 8.86 8.93 9.4 9.2
site40 DE Dortmund 0 0 0 0 0 0 0 0 0 0
site41 DE Dresden 127.35 133.15 138.37 128.97 182.94 160.37 178.85 146.45 152.66 150
site42 DE Dülmen 0 0 0 0 0 0 0 0 0 0
site49 DE Munich Gut_Grosslappen 3.49   6.81 9.45   7.61 8.52 6 7.96 7.18
site54 DK Copenhagen 13.44 11.65 11.09 10.37 11.21 13.75 10.08 12.06 11.35 11.66
site55 ES Barcelona 33.98 41.19 42.9 28.52 29.58 28.41 29.12 34.76 32.35 33.38
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site58 ES Molina de Segura 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site60 ES Valencia (3) 1.09 0.65 0.9 0.96 0.8 1.58 2.11 1.28 1.06 1.16
site61 FI Espoo 4.67 4.16 3.28 4.65 5.66 5.27 4.06 4.3 4.72 4.54
site62 FI Helsinki 4.01 3.56 5.18 6.53 6.55 5.04 4.34 3.97 5.83 5.03
site84 FI Tampere 4.61 3.39 3.49 2.28 3.44 3.33 4.07 4.03 3.14 3.52
site85 FI Turku 12.01 13.09 12.78 11.38 10.56 11.61 9.28 11.46 11.58 11.53
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site92 GB Bristol 1.04 1.23 1.11 0.1 2.74 1.2 0.89 1.13 1.23 1.19
site93 GB London 0 0 0 0 0 0 0 0 0 0
site94 GR Athens 3.69 4.41 5.53 4.8 5.52 3.13 3.72 3.94 4.75 4.4
site96 GR Mytilene 0 0 0 0 0 0 0 0 0 0
site97 GR Thessaloniki 0 0 0 0 0 0 0 0 0 0
site98 HR Zagreb 0 0 0 0 0 0 0 0 0 0
site99 IS Reykjavik Klettagarðar 14.8 18.33 21.02 12.6 13.6 16.6 12.8 15.31 15.95 15.68
site101 IT Milan 12.32 9.35 9.44 9.29 10.17 11.35 8.46 10.37 9.81 10.05
site106 MT Malta 0.67 0.3 0.08 0.07 0.08 0.08 0.08 0.35 0.08 0.19
site107 NL Amsterdam 6.8 5.2 5.24 7.79 6.76 4.13 12.79 8.26 5.98 6.96
site111 NL Utrecht 0 0 0 0 0 0 0 0 0 0
site112 NO Oslo 114.58 178.66 111.57 175.12 100.47 318.52 207.61 166.95 176.42 172.36
site114 PT Almada 0 0 0 0 0 0 0 0 0 0
site115 PT Lisbon 0 0 0 0 0 0 0 0 0 0
site116 PT Porto 0.54 0.49 0.38 0.52 0.12 0.45 0.4 0.48 0.37 0.41
site133 SK Bratislava (2) 133.15 123.6 108.14 118.89 166.5 171.72 189.52 121.63 161.66 144.5
site134 SK Piestany 96.08 61.61 137.68 180.32 169.42 179.96 97.97 85.22 166.84 131.86

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MDMA/ecstasy residues in wastewater in selected European cities, 2015
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site5 AT Klosterneuburg 16.98 10.99 13.92 16.36 16.94 13.06 8.89 12.29 15.07 13.88
site13 BE Antwerp Deurne 36.38 76.67 28.98 24.09 31.92 46 26.56 46.54 32.74 38.66
site14 BE Antwerp Zuid 54.32 61.41 57.27 52.19 129.45 79.8 69.44 61.72 79.67 71.98
site17 BE Brussels 9.66 8.81 10.32 25.75 60.68 27.59 10.84 9.77 31.08 21.95
site18 BE Geraardsbergen 4.16 3.17 4.37 11.32 25.14 15.63 8.08 5.13 14.11 10.26
site19 BE Koksijde 5.11 5.47 3.52 11.14 10.02 10.76 8.52 6.36 8.86 7.79
site21 BE Ninove 6.19 5.7 7.49 9.96 13.88 15.02 14.83 8.91 11.59 10.44
site22 BE Oostende 5.98 8.16 7.97 8.05 14.26 11.3 8.56 7.57 10.4 9.18
site24 CH Basel 7.82 5.28 4.95 2.67 5.16 25.23 15.7 9.6 9.5 9.55
site25 CH Berne 4.15 3.09 7.16 24.39 27.92 12.92 7.87 5.03 18.1 12.5
site26 CH Geneva 10.39 10.06 17.01 40.4 50.26 26.83 12.52 10.99 33.63 23.93
site27 CH Lausanne 12.36 16.27 41.06 82.08 90.49 37.68 20.23 16.29 62.83 42.88
site28 CH Lugano 2.11 1.46 3.39 9.11 14.08 13.41 10.6 4.72 10 7.74
site29 CH St. Gallen Hofen 8.22 18.7 35.51 30.97 14.47 6.8 12.85 13.26 21.94 18.22
site30 CH Zurich 10.44 8.43 13.84 42.58 142.92 46.56 19.56 12.81 61.48 40.62
site31 CY Limassol 2.02 3.33 3.46 2.17 2.08 1.82 1.56 2.3 2.38 2.35
site32 CY Nicosia 0.98 3.57 2.84 1.82 1.69 1.73 1.53 2.03 2.02 2.02
site34 CZ Budweis 2.4 2.32 2.11 2.14 20.16 25.13 9.56 4.76 12.39 9.12
site38 DE Berlin (4) 40.99 31.9 20.89 18.05 42.98 41.47 60.66 48.2 30.84 38.28
site40 DE Dortmund 9.07 9.32 10.37 23.97 34.05 18.82 10.43 9.61 21.8 16.58
site41 DE Dresden 3.2 2.34 2.9 4.84 11.83 6.45 4.05 3.2 6.5 5.09
site42 DE Dülmen 2.71 3.48 3.44 15.72 11.19 5.43   3.09 8.95 6.99
site49 DE Munich Gut_Grosslappen 5.58   2.52 3.69   8.16 16.26 10.92 4.79 7.24
site54 DK Copenhagen 53.22 33.54 26.89 24.55 45.66 85.12 102.61 37.88 64.48 53.08
site55 ES Barcelona 30.85 18.49 20.48 34.74 53.1 51.38 27.71 25.68 39.93 33.82
site56 ES Castellon 4.17 4.08 3.29 2.54 4.12 3.32 2.87 3.71 3.32 3.48
site58 ES Molina de Segura 4.27 3.05 2.52 3.47 6.72 4.94 4.57 3.96 4.41 4.22
site59 ES Santiago 10.61 10.73 11.12 11.24 18.44 19.6 19.18 13.5 15.1 14.42
site60 ES Valencia (3) 3.38 2.9 3.53 8.9 19.41 20.49 10.04 5.44 13.08 9.8
site61 FI Espoo 8.85 9.03 11.15 82.47 139.18 45.32 16.58 11.48 69.53 44.65
site62 FI Helsinki 10.12 12.82 16.81 72.63 94.21 41.91 20.44 14.46 56.39 38.42
site84 FI Tampere 15.34 15.02 19.49 34.82 50.56 49.06 12.85 14.4 38.48 28.16
site85 FI Turku 5.85 8.38 12.66 36 34.28 23.78 10.1 8.11 26.68 18.72
site90 FR Paris Seine Centre 1.99 1.98 1.97 42.01 62.12 32.14 1.97 1.98 34.56 20.6
site92 GB Bristol 25.37 22.89 16.26 34.91 111.76 109.93 50.67 21.51 76.82 53.11
site93 GB London 44.3 43.96 44.1 42.85 113.43 50.48 45.53 44.6 62.72 54.95
site94 GR Athens 1.22 1.45 6.28 4.62 6.94 1.77 1.74 1.47 4.9 3.43
site96 GR Mytilene 0.26 0.96 0.19 0.84 0.8 1.47 1.15 0.79 0.83 0.81
site98 HR Zagreb 16.05 15.56 11.67 35.66 58.63 33.91 19.46 17.02 34.97 27.28
site101 IT Milan 2.78 2.98 1.39 3.42 11.81 17.38 7.14 2.38 9.94 6.7
site107 NL Amsterdam 226.86 93.43 81.17 201.78 318.46 74.84 166.6 162.3 169.06 166.16
site108 NL Eindhoven 53.99 18.35 67.86 88.63 364.84 289.29 34.37 35.57 202.66 131.05
site111 NL Utrecht 51.25 19.38 62.89 91.17 78.05 44.55 86.8 52.48 69.16 62.01
site112 NO Oslo 24.7 30.26 17.68 45.77 46.36 69.27 29.6 28.19 44.77 37.66
site114 PT Almada 1.88 1.71 1.35 4.44 10.73 16.54 5.54 1.65 9.31 6.03
site115 PT Lisbon 8.67 6.09 9.12 26.23 68.3 29.1 13.01 9.26 33.19 22.93
site116 PT Porto 6.15 3.71 3.79 4.85 11.8 33.07 8.52 6.13 13.38 10.27
site133 SK Bratislava (2) 7.02 3.77 4.07 5.8 35.82 24.77 13.03 4.95 19.85 13.47
site134 SK Piestany 0 0 0 0 0 0 0 0 0 0

Data from 2014 study

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Cocaine residues in wastewater in selected European cities, 2014
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site13 BE Antwerp Deurne 270.21 270.26 411.34 346.66 418.02 564.83 265.06 268.51 435.21 363.77
site14 BE Antwerp Zuid 439.3 565.73 551.01 674.66 718.12 859.27 620.77 541.93 700.76 632.69
site18 BE Geraardsbergen 51.64 59.98 88.82 77.09 92.09 55.82 38.41 50.01 64.5 66.26
site21 BE Ninove 88.14 111.14 135.71 136.21 152.43 99.92 75.66 91.65 106.09 114.17
site24 CH Basel 406.34 404.31 435.72 463.67 609.73 445.31 409.23 406.63 488.61 453.47
site25 CH Berne 336.91 384.9 386.1 374.46 393.3 335.5 344.4 355.4 372.34 365.08
site26 CH Geneva 355.07 439.72 490.81 613.07 498.59 357.39 378.78 391.19 489.96 447.63
site27 CH Lausanne 242.43 250.33 346.93 460.52 354.19 258.84 270.03 254.26 355.12 311.89
site28 CH Lugano 234.1 238.64 244.44 299.11 211.7 185.86 270.35 247.7 235.28 240.6
site29 CH St. Gallen Hofen 252.59 309.66 379.19 492.31 400.22 361.58 261.41 274.55 408.32 350.99
site30 CH Zurich 445.62 446.59 548.52 834.48 821.68 586.02 505 465.74 697.68 598.27
site38 DE Berlin (4) 128.02 162.48 167.59 225.79 270.67 187.82 199.32 163.27 212.97 191.67
site40 DE Dortmund 259.07 272.48 246.27 310.79 192.99 150.62 270.58 267.38 225.17 243.26
site41 DE Dresden 7.81 6.79 7.33 9.41 9.58 9.98 7.8 7.47 9.08 8.39
site42 DE Dülmen 12.02 19.33 19.51 42.51 60.92 39.98 28.65 16.95 43.02 31.85
site49 DE Munich Gut_Grosslappen 80.77 74.15 64.73 75.85 130.13 125.25 5.33 73.22 84.14 79.46
site54 DK Copenhagen 275.25 304.94 334.38 451.76 495.45 258.65 272.17 284.12 385.06 341.8
site55 ES Barcelona 402.79 426.96 509.22 541.81 497.84 440.09 408.99 412.91 497.24 461.1
site56 ES Castellon 57.84 124.36 163.29 430.13 253.92 131.04 283.38 155.19 244.59 206.28
site59 ES Santiago 150.4 153.81 171.48 216.84 163.22 144.39 156.07 153.43 173.98 165.17
site60 ES Valencia (3) 179.5 643.1 283.71 385.29 448.62 418.76 288.16 370.25 384.1 378.16
site61 FI Espoo 4.39 4.8 6.46 7.37 7.26 7.52 5.79 4.99 7.15 6.23
site62 FI Helsinki 6.85 7.13 9.22 11.41 14.63 9.49 7.04 7.01 11.19 9.4
site64 FI Joensuu 0.82 0.13 0.13 0.65 0.13 0.13 0.44 1.31 0.94 0.35
site65 FI Jyväskylä 0.34 0.31 0.33 0.34 0.14 0.14 0.15 0.27 0.24 0.25
site69 FI Kotka 2.8 1.64 2.03 3.26 8.71 6.95 4.35 2.93 5.24 4.25
site71 FI Kuopio 6.32 6.39 4.39 3.94 3.42 2.08 3.53 5.41 3.46 4.3
site72 FI Lahti 7.34 10.16 10.38 12.34 13.89 13.58 9.51 9 12.55 11.03
site73 FI Lappeenranta 3.29 0.79 0.37 1.48 3.38 1.59 1.27 1.78 1.7 1.74
site76 FI Oulu 0.25 0.26 0.12 0.35 0.3 0.41 0.3 0.27 0.3 0.28
site80 FI Rovaniemi 0.38 0.35 0.16 0.14 0.28 0.81 0.64 0.46 0.35 0.39
site82 FI Savonlinna 0.7 0.49 0.46 0.34 0.62 0.33 0.9 0.7 0.44 0.55
site84 FI Tampere 0.72 0.86 1.86 1.25 0.85 0.72 0.74 0.77 1.17 1
site85 FI Turku 1.43 1.31 1.61 1.63 1.87 1.19 1.38 1.37 1.57 1.49
site86 FI Vaasa 0.44 0.58 1.27 1.13 0.98 0.41 1.15 0.72 0.95 0.85
site90 FR Paris Seine Centre 194.71 212.28 232.91 314.97 318.7 192.24 171.92 192.97 264.7 233.96
site92 GB Bristol 190.39 203.45 223.49 369.63 343.67 223.67 183.79 192.54 290.11 248.3
site93 GB London 726 729.18 827.17 852.05 696.61 660.29 670.01 708.4 759.03 737.33
site94 GR Athens 74.47 64.59 66.76 99.04 113.85 78.48 63.24 67.43 89.53 80.06
site98 HR Zagreb 63.88 60.57 77.83 101.61 106.05 59.26 72.81 65.75 86.19 77.43
site101 IT Milan 200.79 199.12 214.27 224.73 219.69 201.06 196.68 198.86 214.94 208.05
site107 NL Amsterdam 634.31 694.61 652 761.88 830.81 814.33 626.72 651.88 764.75 716.38
site108 NL Eindhoven   302.91 302.05 449.24 503.15 370.46 357.17 330.04 406.23 380.83
site111 NL Utrecht 248.16 214.86 184.65 236.38 206.79 192.57 258.01 240.35 205.1 220.2
site112 NO Oslo 265.93 222.17 252.13 375.34 393.68 223.44 163.84 217.31 311.15 270.93
site114 PT Almada 53.65 38.91 68.26 71.23 55.03 51.25 43.1 45.22 61.44 54.49

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Amphetamine residues in wastewater in selected European cities, 2014
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site13 BE Antwerp Deurne 95.91 91.23 136.77 118.44 132.9 170.18 95.71 62.38 129.31 120.16
site14 BE Antwerp Zuid 144.14 202.41 185.12 212.19 226.03 304.38 216.37 187.64 231.93 212.95
site18 BE Geraardsbergen 206.56 225.01 326.11 187.8 203.48 184.02 176.88 202.82 179.35 215.69
site21 BE Ninove 98.39 101.82 192.64 133.5 154.44 119.63 105.38 101.86 120.14 129.4
site24 CH Basel 13.56 15.62 14.2 14.72 32.56 10.18 15.05 14.75 17.92 16.56
site25 CH Berne 16.03 16.58 19.08 17.16 19.5 17.14 21.32 17.98 18.22 18.12
site26 CH Geneva 0 0 0 0 0 0 0 0 0 0
site27 CH Lausanne 6.77 4.8 6.31 13.41 5.75 8.59 5.21 5.59 8.51 7.26
site28 CH Lugano 0 0 0 0 0 0 0 0 0 0
site29 CH St. Gallen Hofen 12.09 28.29 24.49 53.36 172.55 140.34 24.82 21.73 97.68 65.13
site30 CH Zurich 13.33 14.66 20.63 34.17 53.27 26.87 16.62 14.87 33.74 25.65
site38 DE Berlin (4) 92.22 102.97 92.8 133.23 150.4 105.4 126.96 107.38 120.46 114.85
site40 DE Dortmund 143.93 145.79 173.37 181.3 91.48 85.25 146.89 145.54 132.85 138.29
site41 DE Dresden 22.85 21.73 9.64 16.81 33 30.71 19.32 21.3 22.54 22.01
site42 DE Dülmen 48.63 54.13 69.69 100.74 95.74 51.52 52.97 57.48 75.24 67.63
site49 DE Munich Gut_Grosslappen 13.83 13.43 13.71 26.71 38.52 35.79 13.32 13.66 28.58 22.19
site55 ES Barcelona 21.05 20.89 28 32.22 37.75 43.56 25.07 22.34 35.38 29.79
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site60 ES Valencia (3) 7.44 14.59 9.51 12.97 14.86 21.14 22.56 14.87 14.62 14.73
site61 FI Espoo 41.73 41.53 48.03 60.07 58.47 46.3 44.26 42.51 53.22 48.63
site62 FI Helsinki 60.04 58.54 67.73 79.13 89.38 67.3 57.59 58.72 75.88 68.53
site64 FI Joensuu 24.55 18.4 17.42 28.77 20.75 11.6 25.64 22.86 19.63 21.02
site65 FI Jyväskylä 51.63 45.77 47.62 54.91 54.07 47.43 47.68 48.36 51.01 49.87
site69 FI Kotka 114.26 94.94 90.71 111.74 112.57 103.35 107.38 105.53 104.59 104.99
site71 FI Kuopio 25.9 32.69 48.88 72.71 56.76 36.54 29.41 29.33 53.72 43.27
site72 FI Lahti 110.66 136.91 150.48 166.96 160.1 122.12 130.07 125.88 149.92 139.62
site73 FI Lappeenranta 18.79 19.19 24.93 29.79 25.97 20.64 20.85 19.61 25.33 22.88
site76 FI Oulu 23.73 21.49 25.99 25.77 27.19 26.51 23.32 22.84 26.37 24.86
site80 FI Rovaniemi 38.07 39.08 49.96 58.99 61.71 47.01 29.93 35.7 54.42 46.39
site82 FI Savonlinna 15.64 12.42 13.42 24.33 27.34 28.62 15.64 14.57 23.43 19.63
site84 FI Tampere 34.67 34.66 39.74 53.52 52.48 40.01 37.99 35.77 46.44 41.87
site85 FI Turku 48.28 47.58 61.09 86.62 73.65 60.09 59.45 51.77 70.36 62.39
site86 FI Vaasa 30.48 39.36 48.08 57.25 49.5 40.09 33.44 34.43 48.73 42.6
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site92 GB Bristol 87.16 83.24 80.89 90.61 75.68 92.42 70.91 80.44 84.9 82.99
site93 GB London 0 0 0 0 0 0 0 0 0 0
site94 GR Athens 25 17.5 9.41 12.56 11.52 23.79 18.07 20.19 14.32 16.84
site98 HR Zagreb 14.91 9.48 13.49 23.49 23.62 14.81 9.78 11.39 18.85 15.65
site101 IT Milan 0 0 0 0 0 0 0 0 0 0
site107 NL Amsterdam 71.76 155.41 103.52 78.28 74.48 122.29 23.82 83.66 94.64 89.94
site108 NL Eindhoven   248.42 144.88 204.76 158.92 141.37 324.03 286.22 162.48 203.73
site111 NL Utrecht 268.21 82.13 52.91 61.96 42.07 53.33 216.87 189.07 52.56 111.06
site114 PT Almada 1.84 2.69 0.49 0.38 0.52 0.52 1 1.84 0.48 1.06

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Methamphetamine residues in wastewater in selected European cities, 2014
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site13 BE Antwerp Deurne 1.84 1.72 2.43 2.65 2.08 3.83 1.86 1.19 2.61 2.34
site14 BE Antwerp Zuid 12.59 29.83 24.23 23.95 21.06 30.38 19.68 20.7 24.91 23.11
site18 BE Geraardsbergen 0.27 0.54 0.65 0.52 0.63 0.28 0.27 0.36 0.45 0.45
site21 BE Ninove 0.46 0.23 0.66 0.39 0.67 0.54 0.46 0.38 0.43 0.49
site24 CH Basel 13.48 16.17 14.51 12.63 16.22 12.63 13.27 14.31 14 14.13
site25 CH Berne 13.92 13.37 8.83 5.34 5.42 12.85 11.89 13.06 8.11 10.23
site26 CH Geneva 0 0 0 0 0 0 0 0 0 0
site27 CH Lausanne 2.21 2.59 4.48 6.41 3.01 3.94 4.01 2.94 4.46 3.81
site28 CH Lugano 0 0 0 0 0 0 0 0 0 0
site29 CH St. Gallen Hofen 9.07 2.12 2.09 5.83 7.79 6.34 2.14 4.44 5.51 5.05
site30 CH Zurich 17.38 20.84 21.57 22.84 25.05 25.39 19.45 19.22 23.71 21.79
site38 DE Berlin (4) 6.06 12.26 6.21 12.97 8.46 10.37 13.05 10.46 9.5 9.91
site40 DE Dortmund 0 0 0 0 0 0 0 0 0 0
site41 DE Dresden 131.77 119.54 115.67 135.83 114.98 153.54 159.8 137.04 130 133.02
site42 DE Dülmen 0 0 0 0 0 0 0 0 0 0
site49 DE Munich Gut_Grosslappen 0 0 0 0 0 0 0 0 0 0
site54 DK Copenhagen 0 0 0 0 0 0 0 0 0 0
site55 ES Barcelona 15.16 20.75 22.02 23.66 24.37 34.65 14.41 16.78 26.18 22.15
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site60 ES Valencia (3) 0.97 1.34 1.32 1.08 1.14 1.3 1.17 1.16 1.21 1.19
site61 FI Espoo 3.62 3.09 2.75 2.89 3.05 4.49 4.73 3.81 3.3 3.52
site62 FI Helsinki 3.95 3.57 3.49 3.63 4.02 3.48 3.74 3.75 3.65 3.7
site64 FI Joensuu 2.64 1.53 0.95 1.56 1.46 1.23 1.78 1.99 1.3 1.59
site65 FI Jyväskylä 1.5 1.42 1.52 1.77 1.55 1.32 1.35 1.42 1.54 1.49
site69 FI Kotka 2.3 1.59 1.73 1.75 1.82 1.98 2.11 2 1.82 1.9
site71 FI Kuopio 7.63 6.83 5.39 5.91 5.75 4.38 7.15 7.2 5.36 6.15
site72 FI Lahti 61.64 4.88 4.73 6.94 5.61 2.21 3.47 23.33 4.87 12.78
site73 FI Lappeenranta 0.98 1.29 0.67 0.95 0.88 1.03 0.7 0.99 0.88 0.93
site76 FI Oulu 1.51 1.11 1.62 1.2 0.99 1.08 1.39 1.34 1.22 1.27
site80 FI Rovaniemi 2.64 2.24 2.09 2.04 2.09 1.89 2.68 2.52 2.03 2.24
site82 FI Savonlinna 43.07 35.32 23.99 36.85 18.91 10.13 52.66 43.68 22.47 31.56
site84 FI Tampere 1.2 1.24 2.49 1.65 1.66 1.21 1.21 1.21 1.75 1.52
site85 FI Turku 3.83 3.21 3.98 3.34 3.41 3.04 4.81 3.95 3.44 3.66
site86 FI Vaasa 1.74 2.74 4.34 4.39 4.71 4.22 4.39 2.96 4.42 3.79
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site92 GB Bristol 2.78 2.59 2.06 1.9 1.73 1.74 1.52 2.3 1.86 2.05
site93 GB London 0 0 0 0 0 0 0 0 0 0
site94 GR Athens 6.28 3.9 5.46 5.52 5.42 5.91 4.57 4.92 5.58 5.3
site98 HR Zagreb 0.67 0.66 0.65 0.64 1.51 0.62 0.68 0.67 0.85 0.77
site101 IT Milan 5.19 4.99 5.05 5.16 6.07 5.66 5.48 5.22 5.48 5.37
site107 NL Amsterdam 2.75   5.08 1.73 1.31 2.41 4.48 2.41 2.63 2.96
site112 NO Oslo 292.23 285.64 199.8 230.38 221.19 211.62 220.98 266.28 215.75 237.4
site114 PT Almada 0.51 1.59 0.49 0.38 0.52 0.52 0.5 0.87 0.48 0.65

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MDMA/ecstasy residues in wastewater in selected European cities, 2014
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site13 BE Antwerp Deurne 15.05 11.56 23.14 15.53 24.68 34.56 15.88 8.87 22.66 20.06
site14 BE Antwerp Zuid 35.6 30.12 35.46 57.56 94.37 103.23 55.37 40.36 72.65 58.82
site18 BE Geraardsbergen 14.72 12.76 16.86 10.35 10.76 12.9 7.57 11.68 9.49 12.27
site21 BE Ninove 7.97 5.83 34.42 18.96 21.11 13.77 8.69 7.49 18.62 15.82
site24 CH Basel 11.45 11.38 15.08 25.91 55.55 26.21 17.92 13.58 30.69 23.36
site25 CH Berne 7.76 4.12 8.98 19.38 51.58 26.49 13.51 8.46 26.61 18.83
site26 CH Geneva 8.91 8.6 20.66 51.62 32.82 15.51 10.81 9.44 30.15 21.27
site27 CH Lausanne 7.07 7.7 22.54 52.84 29.02 15.09 8.93 7.9 29.87 20.46
site28 CH Lugano 5.31 3.21 0.87 6.43 3.57 2.3 4.05 4.19 3.29 3.68
site29 CH St. Gallen Hofen 7.98 22.85 20.82 59.54 51.77 31.19 15.21 15.35 40.83 29.91
site30 CH Zurich 15.49 10.94 16.19 69.35 172.42 78.29 25.25 17.23 84.06 55.42
site38 DE Berlin (4) 17.2 14.45 13.29 23.68 43.25 41.58 46.39 26.08 30.45 28.58
site40 DE Dortmund 10.55 8.04 3.69 10.96 10.04 13.26 22.23 13.61 9.49 11.25
site41 DE Dresden 2.86 2.91 2.89 5.04 10.65 6.14 2.79 2.85 6.18 4.75
site42 DE Dülmen 2.07 3.22 7.43 8.32 17.41 15.1 13.02 4.24 13.46 9.51
site49 DE Munich Gut_Grosslappen 11.06 9.67 8.78 10.68 27.07 40 19.18 9.84 24.23 18.06
site54 DK Copenhagen 0.99 1 49.32 57.62 86.31 1.21 0.99 0.99 48.61 28.21
site55 ES Barcelona 13.79 11.75 17.94 49.08 48.93 48.52 22.43 15.99 41.12 30.35
site56 ES Castellon 3.74 4.16 3.54 7.37 3.26 3.34 3.45 3.78 4.38 4.12
site59 ES Santiago 11.74 11.47 17.04 10.31 9.15 7.25 11.39 11.53 10.94 11.19
site60 ES Valencia (3) 3.3 5.83 3.16 11.67 23.1 9.72 5.97 5.03 11.91 8.96
site61 FI Espoo 10.4 11.27 7.52 21.1 23.74 11.49 105.55 42.4 15.96 27.29
site62 FI Helsinki 6.66 6.42 9.26 32.37 44.86 17.46 9.13 7.4 25.99 18.02
site64 FI Joensuu 1.67 0.88 2.28 1.55 1.8 1.52 1.59 1.38 1.79 1.61
site65 FI Jyväskylä 4.78 3.54 4.26 6.74 6.69 13.48 4.8 4.37 7.79 6.33
site69 FI Kotka 3.75 2.44 2.01 9.28 12.97 18.6 5.48 3.89 10.72 7.79
site71 FI Kuopio 6.04 2.98 5.56 14.78 17.35 3.38 4.92 4.65 10.27 7.86
site72 FI Lahti 6.99 14.48 26.21 45.73 40.97 26.77 8.69 10.05 34.92 24.26
site73 FI Lappeenranta 8.88 2.97 2.28 7.94 4.14 2.51 3.5 5.12 4.22 4.6
site76 FI Oulu 31.86 26.21 35.38 61.8 58.63 32.12 38.62 32.23 46.98 40.66
site80 FI Rovaniemi 8.26 12.31 14.74 21.19 11.87 14.22 3.8 8.12 15.5 12.34
site82 FI Savonlinna 0.15 0.78 1.81 2.02 2.17 0.57 0.61 0.51 1.64 1.16
site84 FI Tampere 4.4 5.48 7.32 19.12 15.84 7.09 8.39 6.09 12.34 9.66
site85 FI Turku 3.94 5.72 8.2 21.23 20.32 9.77 4.29 4.65 14.88 10.5
site86 FI Vaasa 6.71 6.5 6.86 15.47 15.3 6.54 3.86 5.69 11.04 8.75
site90 FR Paris Seine Centre 2.38 2.47 2.4 42.61 58.59 22.62 2.38 2.41 31.55 19.06
site92 GB Bristol 16.43 12.36 17.92 49.88 66.17 34.06 22.97 17.25 42.01 31.4
site93 GB London 40.03 43.34 101.7 170.14 42.33 41.83 35.88 39.75 89 67.89
site94 GR Athens 3.28 2.17 2.03 5.24 11.02 4.63 2.46 2.64 5.73 4.4
site98 HR Zagreb 6.39 5.27 5.19 14.3 30.66 12.35 7.61 6.42 15.62 11.68
site101 IT Milan 1.62 1.63 2.17 7.07 8.77 4.69 1.77 1.67 5.67 3.96
site107 NL Amsterdam 126.67 112.4 104.8 111.3 126.41 227.89 244.14 161.07 142.6 150.51
site111 NL Utrecht 44.24 40.87 43.45 58.62 218.27 118.8 77.56 54.22 109.79 85.97
site112 NO Oslo 2.39 78.1 64.54 107.75 174.95 102.71 2.01 27.5 112.49 76.06
site114 PT Almada 0 0 0 0 0 0 0 0 0 0

Data from 2013 study

Download as CSV

Cannabis residues in wastewater in selected European cities, 2013
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site13 BE Antwerp Deurne 58.4 50.36 66.2 55.67 53.19 108.31 46.56 36.25 65.93 62.67
site14 BE Antwerp Zuid 128.1 122.37 113.82 92.8 81.8 176 167.87 139.45 116.11 126.11
site18 BE Geraardsbergen 24.88 22.8 93.36 65.19 22.78 19.92 25.42 24.37 45.33 39.19
site21 BE Ninove 30.06 47.3 105.92 49.92 33.84 28.89 24.92 34.09 47.42 45.84
site27 CH Lausanne 95.89 74.98 126.33 215.27 117.84 73.62 113.64 94.84 133.27 116.8
site28 CH Lugano 49.02 53.82 59.03 79.26 35.84 57.75 76.48 59.77 57.97 58.74
site38 DE Berlin (4) 48.64 49.43 48.1 66.43 64.78 56.69 63.16 53.74 59 56.75
site40 DE Dortmund 80.6 72.39 82.75 84.67 65.82 42.63 92.77 81.92 68.97 74.52
site41 DE Dresden 28.94 24.84 28.53 45.73 33 29.94 28.24 27.34 34.3 31.32
site42 DE Dülmen 27.08 31.79 35.31 41.59 39.17 31.98 34.73 31.39 36.87 34.52
site49 DE Munich Gut_Grosslappen 37.62 47.29 38.4 38.46 35.39 35.79 7.99 41.1 29.41 34.42
site54 DK Copenhagen 0 0 0 0 0 0 0 0 0 0
site55 ES Barcelona 188.32 173.49 176.5 159.77 137.68 119.83 204.56 188.79 148.45 165.74
site56 ES Castellon 71.8 68.84 59.46 42.37 41.74 49.03 88.32 76.32 48.15 60.22
site59 ES Santiago 96.44 75.16 72.09 71.82 60.06 90.87 81.48 84.36 73.71 78.27
site60 ES Valencia (3) 149.53 31.8 40.5 51.38 39.84 55.14 102.68 94.67 46.71 67.27
site90 FR Paris Seine Centre 127.59 147.11 112.5 109.46 124.71 125.78 102.39 125.7 118.11 121.36
site94 GR Athens 53.85 69.05 23.7 95.25 124.3 69 37.02 53.3 78.06 67.45
site98 HR Zagreb 79.32 82.68 83.02 73.53 66.85 74.07 89.66 83.89 74.37 78.45
site101 IT Milan 22.89 22.28 23.06 19.53 21.01 31.69 26.6 23.92 23.82 23.86
site107 NL Amsterdam 545.09 313.77 307.25 273.45 360.36   1016.3 625.05 313.68 469.37
site108 NL Eindhoven   83.09 76.01 125 70.52 110.87 89.79 86.44 95.6 92.55
site111 NL Utrecht 111.72 69.03 67.19   109.11 47.67 159.19 113.31 74.66 93.99
site112 NO Oslo 0 0 0 0 0 0 0 0 0 0
site114 PT Almada 54.98 49.06 35.07 26.52 54.93 50.01 44.8 49.61 41.63 45.05

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Cocaine residues in wastewater in selected European cities, 2013
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site12 BA Sarajevo 18.31 24.23 23.85 44.62 37.23 27.08 38.77 27.1 33.19 30.58
site13 BE Antwerp Deurne 371.57 433.84 379.41 683.98 540.17 360.8 329.26 378.22 491.09 442.72
site14 BE Antwerp Zuid 847.68 737.47 823.37 794.5 1053.76 888.56 712.15 765.77 890.05 836.79
site17 BE Brussels 227.11 218.37 196.6 179.39 219.61 276.48 249.08 231.52 218.02 223.81
site18 BE Geraardsbergen 20.49   19.58 31.61 31.41 20.88 13.3 16.9 25.87 22.88
site19 BE Koksijde 51.35 25.47 51.83 56.27 70.44 56.29 50.14 42.32 58.71 51.68
site21 BE Ninove 95.11 98.71 105.06 140.1 134.63 98.54 71.28 88.37 119.58 106.2
site24 CH Basel 486.88 359.43 432.76 536.12 451.6 378.23 411.49 419.27 449.68 436.64
site25 CH Berne 238.7 267.75 418.27 257.88 260.59 187.9 219.25 241.9 281.16 264.34
site26 CH Geneva 281.92 315.33 664.09 365.75 312.72 300.9   298.62 410.87 373.45
site29 CH St. Gallen Hofen 343.43 343.75 540.28 541.31 389.34 306.94 296.19 327.79 444.47 394.46
site30 CH Zurich 526.12 574.36 793.71 877.2 829.22 617.24 533.69 544.72 779.34 678.79
site31 CY Limassol 12.86 14.33 12.19 14.56 11.73 18.79 12.96 13.38 14.32 13.92
site32 CY Nicosia 69.08 39.24 54.91 39.72 81.44 72.81 69.82 59.38 62.22 61
site34 CZ Budweis 2.37 2.33 2.3 3.03 3.3 2.54 2.15 2.28 2.79 2.58
site37 CZ Prague 85.5 39.58 48.34 62.7 51.76 36.21 36.03 53.7 49.75 51.45
site40 DE Dortmund 283.58 297.72 333.74 407.09 377.22 295.1 274.55 285.29 353.29 324.14
site41 DE Dresden 5.77 7.52 7.11 5.12 8.49 4.94 3.02 5.44 6.42 6
site42 DE Dülmen 31.59 42.59 36.52 93.38 67.49 41.25 26.18 33.46 59.66 48.43
site54 DK Copenhagen 171.71 184.61 322.89 191.27 308.16 184.26   174.43 251.64 218.55
site55 ES Barcelona 366.91 503.54 433.04 714.38 722.27 546.17 479.57 450.01 603.97 537.98
site56 ES Castellon 112.3 121.31 116.57 300.83 175.05 207.34 188.16 140.59 199.95 174.51
site59 ES Santiago 106.98 120.36 89.96 149.32 216.24 144.58 84.01 103.78 150.03 130.21
site60 ES Valencia (3) 334.44 312.99 334.85 516.3 582.11 393.04 336.76 328.07 456.57 401.5
site90 FR Paris Seine Centre 178.89 249.2 275.82 359.59 320.77 155.47 158.91 195.67 277.91 242.66
site93 GB London 692.98 726.17 421.04 903.65 725.79 526.05 978.9 799.35 644.13 710.65
site94 GR Athens 56.77 62.63 52.42 47.08 75.26 59.33 61 60.13 58.52 59.21
site98 HR Zagreb 68.32 69.78 73.17 112.05 104.24 69.59 63.07 67.06 89.76 80.03
site101 IT Milan 215.21 197.67 213.37 288.68 283.17 256.29 177.8 196.89 260.38 233.17
site107 NL Amsterdam 361.64 376.34 318.59 603.69 480.48 313.7 296.58 344.85 429.11 393
site108 NL Eindhoven 187.32 411.84 918.06 477.6 328.21 355.29 307.99 302.39 519.79 426.62
site111 NL Utrecht 163.54 156.64 250.01 324.48 246.28 150.36 102.79 140.99 242.78 199.16
site112 NO Oslo 35.38 36.81 81.67 113.11 111.24 61.76 49.17 40.46 91.94 69.88
site115 PT Lisbon 99.34 105.68   135.1 117.14 86.51 97.17 100.73 112.92 106.82
site117 RO Cluj Napoca 0 0 0 0 0 0 0 0 0 0
site118 RS Belgrade 34.61 31.62 19.95 34.01 16.79   18.29 34.13 47.26 40.69
site119 RS Novi Sad   11.03 10.04 21.46 16.19 18.34 17.62 14.33 16.51 15.78
site120 SE Gothenburg 21.96 26.61 26.5 26.67 53.73 35.51 23.09 23.89 35.6 30.58
site125 SE Umea 4.13 5.5 7.44 7.44 2.97 2.58 5.42 5.02 5.1 5.07
site133 SK Bratislava (2) 16.99 33.64 36.18 50.92 47.4 38.22 39.58 23.27 44.03 37.56
site134 SK Piestany 3.27 2.8 2.65 6.38 2.76 2.39 2.37 2.81 3.55 3.23

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Amphetamine residues in wastewater in selected European cities, 2013
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site12 BA Sarajevo 26.15 36 40.77 80.77 55 71.92 56.31 39.49 62.12 52.42
site13 BE Antwerp Deurne 98.61 124.28 102.98 157.75 120.06 90.16 131.83 118.24 117.74 117.95
site14 BE Antwerp Zuid 180.1 180.25 190.51 166.19 202.24 180.84 195.63 185.33 184.95 185.11
site17 BE Brussels 23.43 24.07 22.61 16.89 23.67 34.58 28.32 25.27 24.44 24.8
site18 BE Geraardsbergen 0.49   0.8 1.32 1.09 0.72 0.47 0.48 0.98 0.82
site19 BE Koksijde 21.55 22.58 27.78 31.11 26.15 31.05 25.16 23.1 29.02 26.48
site21 BE Ninove 90.05 85.15 85.33 129.57 129.62 78.41 185.48 120.23 105.73 111.94
site24 CH Basel 45.53 45.8 14.77 27.92 56.55 22.42 24.21 38.51 30.42 33.89
site25 CH Berne 22.01 15.58 28.43 17.12 19.93 16.25 14.11 17.23 20.43 19.06
site26 CH Geneva 0 0 0 0 0 0   0 0 0
site30 CH Zurich 13.15 65.12 40.41 28.38 57.84 33.63 60.04 46.11 40.06 42.65
site31 CY Limassol 1.98 1.99 2.22 1.49 1.21 1.12 1.81 1.93 1.51 1.69
site32 CY Nicosia 3.77 4.02 2.83 2.76 3.6 3.65 2.73 3.51 3.21 3.34
site34 CZ Budweis 19.95 18.66 23 22.86 20.97 19.09 19.74 19.45 21.48 20.61
site37 CZ Prague 34.48 34.08 36.52 40.41 38.68 35.38 34.16 34.24 37.75 36.24
site40 DE Dortmund 88.26 80.78 83.97 119.61 92.07 93.3 87.58 85.54 97.24 92.22
site41 DE Dresden 0 0 0 0 0 0 0 0 0 0
site42 DE Dülmen 50.16 66.48 61.71 91 60.07 59.01 51.54 56.06 67.94 62.85
site54 DK Copenhagen 27.89 30.9 35.32 30.28 37.22 27.45   28.08 32.57 30.64
site55 ES Barcelona 16.22 20.27 20.97 23.56 27.99 22.48 16.29 17.59 23.75 21.11
site56 ES Castellon 9.77 10.02 10.42 6.77 4.45 10.36 8.43 9.41 8 8.6
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site60 ES Valencia (3) 5.53 5.31 6.76 10.41 11.64 9.53 6.55 5.8 9.58 7.96
site62 FI Helsinki 96.19 93.33 84.42 127.34 115.67 77.88 66.78 85.43 101.33 94.51
site85 FI Turku 53.51 49.49 55.97 58.24 67.06 76.8 86.86 63.28 64.52 63.99
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site93 GB London 0 0 0 0 0 0 0 0 0 0
site94 GR Athens 17.91 17.07 15.21 14.69 12.03 16.53 18.92 17.97 14.62 16.05
site98 HR Zagreb 4.06 6.65 7.95 14.01 15.83 12.45 9.04 6.58 12.56 10
site107 NL Amsterdam 64.67 56.76 51.64 157.06 93.77 38.41 33.34 51.59 85.22 70.81
site111 NL Utrecht 30.98 29.8 76.41 76.13 40 31.7 40.63 33.8 56.06 46.52
site112 NO Oslo 52.51 46.6 76.33 77.15 69.48 61.76 64.07 54.39 71.18 63.99
site115 PT Lisbon 0 0   0 0 0 0 0 0 0
site117 RO Cluj Napoca 0 0 0 0 0 0 0 0 0 0
site118 RS Belgrade 17.94 20.71 9.44 17.01 16.79   18.29 18.98 14.41 16.7
site119 RS Novi Sad   24.43 20.08 21.82 22.59 22.18 42.92 33.67 21.67 25.67
site120 SE Gothenburg 210.62 266.44 224.18 134.7 244.57 227.33 199.5 225.52 207.69 215.33
site125 SE Umea 13.22 21.43 32.68 39.58 30.93 48.85 23.23 19.3 38.01 29.99
site133 SK Bratislava (2) 12.92 15.42 14.6 16.69 19.41 18.85 18.14 10.01 18.27 16.58
site134 SK Piestany 18.96 14.55 13.78 12.76 13.56 12.43 11.86 15.13 13.13 13.99

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Methamphetamine residues in wastewater in selected European cities, 2013
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site12 BA Sarajevo 0 0 0 0 0 0 0 0 0 0
site13 BE Antwerp Deurne 5.19 6.51 6.1 10.32 6.89 5.29 6.18 5.96 7.15 6.64
site14 BE Antwerp Zuid 5.51 4.56 3.63 6.78 7.66 7.48 4.72 4.93 6.39 5.76
site17 BE Brussels 1.42 1.57 1.51 0.98 1.44 2.63 2.42 1.8 1.64 1.71
site18 BE Geraardsbergen 0   0 0 0 0 0 0 0 0
site19 BE Koksijde 0 0 0 0 0 0 0 0 0 0
site21 BE Ninove 0 0 0 0 0 0 0 0 0 0
site24 CH Basel 15.49 17.18 2.58 14.8 18.85 3.17 18.51 17.06 9.85 12.94
site25 CH Berne 15.11 16.42 18.78 14.88 15.22 13.33 18.3 16.61 15.56 16.01
site26 CH Geneva 0 0 0 0 0 0   0 0 0
site29 CH St. Gallen Hofen 6.85 5.94 8.05 7.22 5.2 5.02 5.25 6.01 6.37 6.22
site30 CH Zurich 16.78 21.26 19.72 20.64 3.03 18.43 17.09 18.38 15.46 16.71
site31 CY Limassol 3.32 4.88 3.93 3.14 2.68 3.48 2.88 3.7 3.31 3.48
site32 CY Nicosia 1.12 2.02 1.28 1.3 1.59 1.58 1.62 1.59 1.44 1.5
site34 CZ Budweis 184.77 209.01 247.9 252.87 214.4 197.21 200.86 198.21 228.1 215.29
site37 CZ Prague 308.91 310.6 325.79 350.64 322.79 317.9 349.58 323.03 329.28 326.6
site40 DE Dortmund 0 0 0 0 0 0 0 0 0 0
site41 DE Dresden 145.37 171.49 129.88 137.78 134.55 130.97 106.24 141.03 133.3 136.61
site42 DE Dülmen 0 0 0 0 0 0 0 0 0 0
site54 DK Copenhagen 9.98 9.61 10.7 8.41 10.67 9.89   9.6 9.92 9.78
site55 ES Barcelona 24.83 28.32 28.48 25 25.66 28.4 24.92 26.02 26.88 26.51
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site60 ES Valencia (3) 1.02 1 0.96 1.02 1.42 1.47 1.24 1.08 1.22 1.16
site90 FR Paris Seine Centre 3.33 4.89 3.65 4.47 4.14 3.32 4.2 4.14 3.9 4
site93 GB London 2.01 2.19 2.03 15.33 11.95 17.09 12.11 5.44 11.6 8.96
site94 GR Athens 3.9 5.65 4.68 5 4.35 4.67 5.09 4.88 4.67 4.76
site101 IT Milan 5.06 5.01 5.3 7.36 8.38 6.27 4.13 4.73 6.83 5.93
site107 NL Amsterdam 3.86 3.2 11.66 5.87 3.13 4.27 4.66 3.91 6.23 5.24
site108 NL Eindhoven 0 0 0 0 0 0 0 0 0 0
site111 NL Utrecht 0 0 0 0 0 0 0 0 0 0
site112 NO Oslo 74.57 69.31 129 139.32 124.92 112.39 105.8 83.23 126.41 107.9
site115 PT Lisbon 0 0   0 0 0 0 0 0 0
site117 RO Cluj Napoca 0 0 0 0 0 0 0 0 0 0
site118 RS Belgrade 0 0 0 0 0 0 0 0 0 0
site119 RS Novi Sad   0 0 0 0 0 0 0 0 0
site120 SE Gothenburg 0 0 0 0 0 0 0 0 0 0
site125 SE Umea 0 0 0 0 0 0 0 0 0 0
site133 SK Bratislava (2) 127.92 145.18 148.28 173.81 192.05 178.2 180.96 97.82 181.25 163.77
site134 SK Piestany 163.44 127.61 113.43 125.66 119.25 109.01 108.2 133.08 116.84 123.8

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MDMA/ecstasy residues in wastewater in selected European cities, 2013
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site12 BA Sarajevo 0 0 0 0 0 0 0 0 0 0
site13 BE Antwerp Deurne 27.69 21.64 20.65 44.39 44.64 27.55 25.28 24.87 34.31 30.26
site14 BE Antwerp Zuid 59.67 46.54 43.79 51.44 147.02 102.34 57.35 54.52 86.15 72.59
site17 BE Brussels 7.14 7.97 7.48 13.1 33.13 26.05 11.99 9.03 19.94 15.27
site18 BE Geraardsbergen 4.32   3.88 5.86 6.63 5.13 3.22 3.77 5.38 4.84
site19 BE Koksijde 6 2.41 4.87 10.76 17.17 14.07 8.52 5.64 11.71 9.11
site21 BE Ninove 4.82 5.26 8.15 14.08 18.02 19.67 6.74 5.61 14.98 10.96
site24 CH Basel 10.43 8.91 11.68 29.88 46.34 24.96 29.43 16.26 28.21 23.09
site25 CH Berne 13.81 8.42 49.75 31.26 52.55 25.83 12.2 11.48 39.85 27.69
site26 CH Geneva 6.44 9.34 38.95 27.06 20.18 10.73   7.89 24.23 18.78
site29 CH St. Gallen Hofen 14.75 28.34 27.38 69.95 80.33 37.39 18.38 20.49 53.76 39.5
site30 CH Zurich 16.33 12.66 13.95 53.32 113.66 62.65 27.52 18.84 60.89 42.87
site31 CY Limassol 0.32 0.49 0.37 0.73 0.31 0.61 0.39 0.4 0.51 0.46
site32 CY Nicosia 1.28 1.05 1.25 1.65 2.37 1.01 1.23 1.19 1.57 1.41
site34 CZ Budweis 4.75 4.67 5.06 17.73 9.96 4.24 4.29 4.57 9.25 7.24
site37 CZ Prague 8.83 9.07 19.18 48.14 38.68 16.59 12.81 10.24 30.65 21.9
site40 DE Dortmund 0.95 0.88 8.52 20.81 28.68 23.02 13.42 5.09 20.26 13.75
site41 DE Dresden 0 0 0 0 0 0 0 0 0 0
site42 DE Dülmen 0.44 0.57 0.74 1.99 13.22 6.91 5.9 2.3 5.71 4.25
site54 DK Copenhagen 9.98 8.05 23.88 10.81 48.12 26.22   9.08 27.26 19.47
site55 ES Barcelona 14.04 18.45 25.34 41.87 57 41.32 21.88 18.12 41.38 31.41
site56 ES Castellon 0.39 0.4 4.17 10.43 9.27 13.47 6.9 2.56 9.33 6.43
site60 ES Valencia (3) 2.53 1.99 3.17 9.38 20.05 13.56 6.29 3.6 11.54 8.14
site62 FI Helsinki 9.68 14.89 10.48 49.92 65.41 30.45 12.44 12.34 39.06 27.61
site85 FI Turku 3.62 1.54 1.53 5.14 11.12 7.69 6.27 3.81 6.37 5.27
site90 FR Paris Seine Centre 5.84 7.92 8.44 46.16 67.36 29.93 16.74 10.17 37.97 26.06
site93 GB London 3.02 3.28 10.81 68.8 45.97 23.72 73.73 26.68 37.33 32.76
site94 GR Athens 1.17 2.1 0.64 0.44 6.48 3.85 2.51 1.93 2.85 2.46
site98 HR Zagreb 3.42 3.59 4.85 19.3 19.59 9.74 5.62 4.21 13.37 9.45
site101 IT Milan 3.36 2.42 2.36 8.54 11.23 4.62 2.16 2.65 6.69 4.96
site107 NL Amsterdam 53.52 55.16 36.02 144.84 82.91 129.86 122.45 77.04 98.41 89.25
site111 NL Utrecht 57.55 58.01 78.79 107.83 123.9 95.89 59.84 58.46 101.6 83.11
site112 NO Oslo 3.42 3.52 9.54 12.73 13.32 5.75 3.35 3.43 10.34 7.38
site115 PT Lisbon 4.13 1.23   6.15 7.45 5.14 4.98 3.45 6.24 4.85
site117 RO Cluj Napoca 0 0 0 0 0 0 0 0 0 0
site118 RS Belgrade 8.23 3.71 3.43 6.76 57.61   9.15 7.03 22.6 14.81
site119 RS Novi Sad   7.88 4.02 5.72 9.04 5.97 9.94 8.91 6.19 7.09
site120 SE Gothenburg 5.64 5.7 5.42 5.31 5.38 7.94 5.68 5.67 6.01 5.87
site125 SE Umea 2.42 4.12 5.58 5.58 5.34 4.36 4.07 3.54 5.21 4.49
site133 SK Bratislava (2) 3.17 3.86 3.42 10.36 11.72 5.94 3.87 2.43 7.97 6.05
site134 SK Piestany 0 0 0 0 0 0 0 0 0 0

Data from 2012 study

Download as CSV

Cannabis residues in wastewater in selected European cities, 2012
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site13 BE Antwerp Deurne 64.99 82.55 55.12 54.65 62.6 32.8 48.41 67.55 49.61 57.3
site14 BE Antwerp Zuid 128.85 131.03 116.29 134.51 130.78 90.72 140.75 125.39 124.19 124.7
site17 BE Brussels 89.51 63.47 61.68 65.17 82.89 75.01 74.05 71.55 74.28 73.11
site34 CZ Budweis 58.09 72.77 58.44 30.66 53.08 51.15 70.36 63.1 51.31 56.36
site37 CZ Prague 62.87 63.28 67.32 57.34 57.3 59.64 64.15 64.49 59.61 61.7
site55 ES Barcelona 85.17 87.43 86.53 92.31 65.87 56.52 75.81 86.38 72.63 78.52
site56 ES Castellon 100.04 107.75 120.66 114.2 170.67 96.54 111.56 109.49 123.24 117.35
site59 ES Santiago 114.69 57.85 115.13 110.54 99.41 127.42 193.61 95.89 132.74 116.95
site90 FR Paris Seine Centre 110.32 120.74 104.32 140.77 116.71 110.85 118.49 111.79 121.7 117.46
site98 HR Zagreb 40.31 45.22 49.16 41.87 46.35 41.21 48.85 44.9 44.57 44.71
site101 IT Milan 22.3 32.16 21.81 19.93 19.59 17.83 36.14 25.43 23.37 24.25
site107 NL Amsterdam 169.84 138.31 160.67 180.8 214.1 219.61 169.33 156.27 195.96 178.95
site108 NL Eindhoven 81.59 102.36 60.58 99.23 97.78 75.89 73.5 81.51 86.6 84.42
site111 NL Utrecht 149.72 131.17 119.15 169.13 121.7 119.23 122.9 133.35 133.24 133.29
site112 NO Oslo 113.46 83.27 66.98 95.88 79.72   78.56 87.9 84.72 86.31
site120 SE Gothenburg 0 0 0 0 0 0 0 0 0 0
site125 SE Umea 0 0 0 0 0 0 0 0 0 0

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Cocaine residues in wastewater in selected European cities, 2012
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site13 BE Antwerp Deurne 353.69 341.26 256.28 341.48 350.08 282.02 284.58 317.08 314.54 315.63
site14 BE Antwerp Zuid 741.87 655.67 577.36 729.08 805.5 819.61 865.23 658.3 804.86 742.05
site17 BE Brussels 151.11 138.08 158.39 197.5 235.13 253.17 176.96 149.2 215.69 187.19
site24 CH Basel 298.61 261.85 268.6 261.92 352.94 303.48 221.15 276.35 284.87 281.22
site25 CH Berne 224.03 254.17 280.74 323.6 265.48 278.24 232.25 252.98 274.89 265.5
site26 CH Geneva 502.62 361.07 279.45 272.61 276.88 325.43 370 381.05 311.23 341.15
site29 CH St. Gallen Hofen 144.74 203.1 203.51 246.13 305.08 266.08 188.53 183.78 251.45 222.45
site30 CH Zurich 368.23 397.78 368.17 423.77 526.25 552.99 420.82 378.06 480.96 436.86
site34 CZ Budweis 5.27 6.89 5.79 3.16 5.38 4.81 5.47 5.98 4.71 5.25
site37 CZ Prague 36.03 42.11 39.41 51.66 68.85 65 35.35 39.18 55.22 48.34
site55 ES Barcelona 338.01 380.4 382.59 344.38 472.6 470.88 415.26 367 425.78 400.59
site56 ES Castellon 230.74 219.69 206.14 276.78 376.59 375.65 155.14 218.86 296.04 262.96
site59 ES Santiago 173.67 99.01 161.54 256.91 319.24 390.46 278.99 144.74 311.4 239.97
site62 FI Helsinki 5.72 4.78 5.9 4.92 12.04 19.96 11.57 5.47 12.12 9.27
site85 FI Turku 0 0 0 0 0 0 0 0 0 0
site90 FR Paris Seine Centre 128.33 159.92 122.4 184.89 264.64 356.31 291.42 136.88 274.32 215.42
site98 HR Zagreb 53.76 53.52 61.82 58.94 103.36 96.16 61.02 56.37 79.87 69.8
site101 IT Milan 193.5 229.53 210.11 241.82 286.37 274.6 256.32 211.05 264.78 241.75
site107 NL Amsterdam 557.51 627.75 584.19 636.9 766.21 951.28 429.58 589.82 695.99 650.49
site108 NL Eindhoven 312.57 328.94 213.57 395.51 360.66 465.02 372.54 285.03 398.43 349.83
site111 NL Utrecht 295.55 291.57 274.72 348.79 456.43 431.43 314.87 287.28 387.88 344.77
site112 NO Oslo 95.64 89.94 63.52 123.78 149.98   55.22 83.03 109.66 96.35
site120 SE Gothenburg 17.74 16.86 18.3 23.98 36.11 42.75 21.33 17.63 31.04 25.3
site125 SE Umea 0 0 0 0 0 0 0 0 0 0

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Amphetamine residues in wastewater in selected European cities, 2012
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site13 BE Antwerp Deurne 134.98 118.65 78.78 112.59 99.37 76.53 93.04 110.8 95.38 101.99
site14 BE Antwerp Zuid 159.43 168.51 131.1 151.4 163.61 153.64 188.63 153.01 164.32 159.47
site17 BE Brussels 37.56 42.43 27.36 37.22 35.94 52.36 39.07 35.78 41.15 38.85
site24 CH Basel 0 0 0 0 0 0 0 0 0 0
site25 CH Berne 36.34 30.33 26.41 30.68 45.19 30.58 31.81 31.03 34.57 33.05
site26 CH Geneva 14.88 65.18 70.98 69.44 18.39 16.32 17.52 50.35 30.42 38.96
site30 CH Zurich 0 0 0 0 0 0 0 0 0 0
site34 CZ Budweis 16.6 25.31 17.46 7.46 23.31 25.27 25.52 19.79 20.39 20.13
site37 CZ Prague 31.19 33.2 31.47 29.38 38.35 33.51 29.73 31.96 32.74 32.41
site55 ES Barcelona 14 10.59 11.59 11.41 14.94 14.36 16.72 12.06 14.36 13.37
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site62 FI Helsinki 48.78 42.43 40.91 42.54 42.16 59.08 30.21 44.04 43.5 43.73
site85 FI Turku 24.22 39.61 43.73 58.09 52.48 45.69 41.43 35.86 49.42 43.61
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site98 HR Zagreb 9.12 8.75 8.4 7.25 16.32 20.35 14.76 8.76 14.67 12.13
site101 IT Milan 0 0 0 0 0 0 0 0 0 0
site107 NL Amsterdam 35.57 27.69 22.55 24.58 30.11 35.5 17.15 28.6 26.83 27.59
site108 NL Eindhoven 649.09 493.11 310.65 863.53 258.42 167.92 174.52 484.28 366.1 416.75
site111 NL Utrecht 44.42 42.52 38.51 44.26 48.55 48 60.42 41.82 50.31 46.67
site112 NO Oslo 96.33 74.79 59.25 116.69 128.58   55.86 76.79 100.38 88.58
site120 SE Gothenburg 80.61 79.52 75.15 86.73 75.8 87.16 124.98 78.43 93.67 87.14
site125 SE Umea 0 0 0 0 0 0 0 0 0 0

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Methamphetamine residues in wastewater in selected European cities, 2012
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site13 BE Antwerp Deurne 6.05 4.72 4.39 6.23 5.42 3.58 4.67 5.05 4.97 5.01
site14 BE Antwerp Zuid 8.93 6.25 4.16 4.46 7.02 6.57 6.95 6.45 6.25 6.33
site17 BE Brussels 2.28 2.54 1.71 1.79 1.83 2.56 1.89 2.18 2.02 2.09
site24 CH Basel 0 0 0 0 0 0 0 0 0 0
site25 CH Berne 19.83 21.7 21.12 24.69 3.79 23.05 22.66 20.88 18.55 19.55
site26 CH Geneva 0 0 0 0 0 0 0 0 0 0
site30 CH Zurich 0 0 0 0 0 0 0 0 0 0
site34 CZ Budweis 86.11 130.17 93.35 59.24 146.33 117.65 112.28 103.21 108.88 106.45
site37 CZ Prague 191.27 184.31 183.9 193.36 199.58 182.06 172.54 186.49 186.89 186.72
site55 ES Barcelona 25.12 25.31 26.91 22.28 26.55 24.96 34.73 25.78 27.13 26.55
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site98 HR Zagreb 0 0 0 0 0 0 0 0 0 0
site101 IT Milan 8.9 9.62 9.4 8.61 12.12 11.47 10.66 9.31 10.72 10.11
site107 NL Amsterdam 8.48 4.96 10.82 5.42 4.9 6.57 3.69 8.09 5.15 6.41
site108 NL Eindhoven 0 0 0 0 0 0 0 0 0 0
site111 NL Utrecht 2.06 1.2 0.82 2.45 1.58 0.85 0.84 1.36 1.43 1.4
site112 NO Oslo 197.16 153.07 118.82 221.87 202.95   118.64 156.35 181.15 168.75
site120 SE Gothenburg 37.66 43.6 51.4 62.57 61.62 56.85 36.58 44.22 54.41 50.04
site125 SE Umea 1.34 1.18 0.97 0.77 0.76 0.91 0.65 1.16 0.77 0.94

2012: MDMA/ecstasy

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MDMA/ecstasy residues in wastewater in selected European cities, 2012
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site13 BE Antwerp Deurne 26.35 17.38 13.53 14.56 22.49 17.91 19.76 19.09 18.68 18.85
site14 BE Antwerp Zuid 66.84 47.82 35.03 46.04 78.64 105.55 80.97 49.9 77.8 65.84
site17 BE Brussels 8.54 5.73 5.03 7.76 19.3 26.81 17.71 6.43 17.89 12.98
site24 CH Basel 5.51 4.52 3.95 3.46 26.08 38.24 20.52 4.66 22.07 14.61
site25 CH Berne 3.96 3.76 3.65 15.53 25.48 51.4 30.73 3.79 30.79 19.22
site26 CH Geneva 25.59 22.63 5.18 5.06 4.51 4.2 3.86 17.8 4.41 10.15
site29 CH St. Gallen Hofen   7.25 8 7.59 49.13 47.72   7.63 34.81 23.94
site30 CH Zurich 25.99 4.32 4.07 4.3 44.8 122.15 65.61 11.46 59.22 38.75
site34 CZ Budweis 8.3 15.82 11 5.18 11.12 7.82 12.03 11.71 9.04 10.18
site37 CZ Prague 7.01 7.7 14.78 11.85 10.46 9.83 5.15 9.83 9.32 9.54
site55 ES Barcelona 14.64 11.75 10.06 16.47 35.78 46.24 58.37 12.15 39.22 27.62
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 2.4 1.51 4.03 5.04 5.42 10.43 6.5 2.65 6.85 5.05
site62 FI Helsinki 7.65 5.15 6.92 5.84 22.98 38.87 14.58 6.57 20.57 14.57
site85 FI Turku 0 0 0 0 0 0 0 0 0 0
site98 HR Zagreb 2.66 2.15 2.35 2.89 9.52 21.3 12.67 2.39 11.59 7.65
site101 IT Milan 3.57 4.23 4.21 8.55 14.4 16.27 9.91 4.01 12.28 8.74
site107 NL Amsterdam 94.68 50.31 54.52 58.01 122.47 227.51 91.4 66.5 124.84 99.84
site111 NL Utrecht 138.89 79.22 67.88 96.54 179.92 370.64 199.92 95.33 211.75 161.86
site112 NO Oslo 10.38 5.9 3.62 10.85 23.01   9.82 6.63 14.56 10.6
site120 SE Gothenburg 0 0 0 0 0 0 0 0 0 0
site125 SE Umea 0 0 0 0 0 0 0 0 0 0

Data from 2011 study

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Cannabis residues in wastewater in selected European cities, 2011
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site14 BE Antwerp Zuid 0 0 0 0 0 0 0 0 0 0
site34 CZ Budweis 51 45.37 38.5 45 49.76 53.27 69.67 55.35 46.63 50.37
site55 ES Barcelona 58.17 136.98 131.27 132.63 85.62 103.57 112.15 102.43 113.27 108.63
site56 ES Castellon 139.29 134.24 101.63 99.25 108.73 100.37 28.61 100.72 102.49 101.73
site59 ES Santiago 82.66 138.2 104.03 66.04 45.25   36.57 85.81 71.77 78.79
site60 ES Valencia (3) 10.45 12.38 12 20.44 11.1 17.85 15.52 12.78 15.35 14.25
site90 FR Paris Seine Centre 36.68 67.99 51.5 96.85 156.99 259.23 195.87 100.18 141.14 123.59
site98 HR Zagreb 28.57 33.97 25.15 34.21 33.33 30.71 28.17 30.24 30.85 30.59
site101 IT Milan 26.28 24.6 25.47 24.64 25.22 25.54 41.55 30.81 25.22 27.61
site107 NL Amsterdam 206.06 227.57 199.68 169.88 155.64     144.55 131.3 191.77
site108 NL Eindhoven 76.45 90.84 109.75 114 116.63 112.62 99.13 88.81 113.25 102.77
site111 NL Utrecht 115.12 85.75 112.92 111.51 109.5 128.67 100.74 114.84 104.92 109.17
site125 SE Umea 0 0 0 0 0 0 0 0 0 0

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Cocaine residues in wastewater in selected European cities, 2011
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site14 BE Antwerp Zuid 589.73 610.11 753.98 784.21 919.91 758.49 631.85 610.56 804.15 721.18
site17 BE Brussels 146.31 188.31 188.45 236.64 244.04 170.66 115.82 150.15 209.95 184.32
site34 CZ Budweis 8.12 10.16 10.68 7.93 3.43 4.09 3.3 7.19 6.53 6.82
site55 ES Barcelona 249.14 411.28 445.86 552.19 560.93 397.41 334.97 331.8 489.1 421.68
site56 ES Castellon 333.66 429.33 226.85 314.29 565.54 388.1 343.23 368.74 373.7 371.57
site59 ES Santiago 150.26 184 231.87 319.67 266.31   115.2 149.82 272.62 211.22
site90 FR Paris Seine Centre 167.77 211 179.94 263.28 185.84 247.68 188.6 189.12 219.18 206.3
site93 GB London 375.29 365.49 405.09   532.41 335.15 342.83 361.2 424.22 392.71
site98 HR Zagreb 43.75 49.96 52.86 66.84 61.78 40.45 33.99 42.57 55.48 49.95
site101 IT Milan 225.97 238.5 233.33 314.56 258.21 199.89 201.46 221.98 251.5 238.85
site107 NL Amsterdam 612.06 645.43 633.08 653.76 676.18     628.75 654.34 644.1
site108 NL Eindhoven 335 358.11 479.38 612 514 356.62 406.88 366.66 490.5 437.42
site111 NL Utrecht 346.83 253.67 468.92 430.15 330.9 349.89 314.05 336.92 370.91 356.34
site112 NO Oslo 45.02 42.97 45.8 39.26 69.47 76.8 48.79 45.59 57.83 52.59
site125 SE Umea 4.59 0.66 0.51 4.6 4.87 2.51 0.69 1.98 3.12 2.63

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Amphetamine residues in wastewater in selected European cities, 2011
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site14 BE Antwerp Zuid 229.63 211.52 318.89 318.79 311.03 272.62 277.78 239.64 305.33 277.18
site17 BE Brussels 22.92 28.77 39.31 57.57 44.62 32.38 22.18 24.63 43.47 35.39
site34 CZ Budweis 20.2 27.07 24.6 29.43 23.5 37.31 37.43 28.23 28.71 28.51
site55 ES Barcelona 7.4 12.14 13.21 25.29 19.5 15.94 14.41 11.31 18.48 15.41
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 33.99 35.46 41.2 40.04 30.08   22.29 30.58 37.11 33.84
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site93 GB London 46.2 43.34 30.89   44.74 26.31 34.1 41.21 33.98 37.6
site98 HR Zagreb 11.95 13.67 13.26 16.96 20.64 14.71 11 12.21 16.39 14.6
site101 IT Milan 11.3 12.42 11.5 15.47 10.92 11.34 4.43 9.38 12.31 11.05
site107 NL Amsterdam 162.77 181.64 70.73 100.65 102.06     172.21 91.15 123.57
site111 NL Utrecht 75.02 54.04 93.74 100.59 83.2 103.67 73.95 84.21 82.89 83.46
site112 NO Oslo 12.06 11.4 16.95 10.49 12.01 11.84 11.4 11.62 12.82 12.31
site125 SE Umea 17.14 22.16 13.61 7.22 15.79 10.41 10.42 16.57 11.76 13.82

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Methamphetamine residues in wastewater in selected European cities, 2011
SiteID country city methamphetamineWed2011 methamphetamineThu2011 methamphetamineFri2011 methamphetamineSat2011 methamphetamineSun2011 methamphetamineMon2011 methamphetamineTue2011 methamphetamineWDMean2011 methamphetamineWEMean2011 methamphetamineMean2011
site14 BE Antwerp Zuid 3.79 4.1 6.15 5.46 6.5 5.83 6.36 4.75 5.99 5.46
site17 BE Brussels 0 0 0 0 0 0 0 0 0 0
site34 CZ Budweis 170.18 169 193.88 167 145.98 176.65 205.73 181.64 170.88 175.49
site55 ES Barcelona 6.43 8.12 9.31 10.5 10.66 6.51 7.46 7.34 9.24 8.43
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 0 0 0 0 0 0 0 0 0 0
site90 FR Paris Seine Centre 0 0 0 0 0 0 0 0 0 0
site93 GB London 7.97 7.22 6.54   13.72 6.7 6.92 7.37 8.99 8.18
site98 HR Zagreb 0 0 0 0 0 0 0 0 0 0
site101 IT Milan 44.46 41.37 48.55 54 63.47 45.44 43.47 43.1 52.86 48.68
site107 NL Amsterdam 0 0 0 0 0 0 0 0 0 0
site108 NL Eindhoven 0 0 0 0 0 0 0 0 0 0
site111 NL Utrecht 0 0 0 0 0 0 0 0 0 0
site112 NO Oslo 235 212.6 231.06 186.16 295.5 302.46 250.71 232.77 253.8 244.79
site125 SE Umea 3.91 4.37 3.82 1.29 1.79 3.28 2.07 3.45 2.55 2.93

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MDMA/ecstasy residues in wastewater in selected European cities, 2011
SiteID country city Wednesday Thursday Friday Saturday Sunday Monday Tuesday Weekday mean Weekend mean Daily mean
site14 BE Antwerp Zuid 29.26 26.16 34.21 85.55 94.15 56.96 38.67 31.37 67.72 52.14
site17 BE Brussels 3.54 4.46 3.38 6.01 18.64 8.74 3.54 4.09 8.12 7.45
site34 CZ Budweis 3.31 1.49 2.78 6.6 3.01 2.47 4.73 3.18 3.71 3.48
site55 ES Barcelona 6.4 8.56 8.94 27.35 41.26 25.18 13.43 9.47 25.68 18.73
site56 ES Castellon 0 0 0 0 0 0 0 0 0 0
site59 ES Santiago 3.4 3.89 5.94 4.15 12.93   5.63 4.31 7.67 5.99
site90 FR Paris Seine Centre 8.68 10.64 11.46 36.75 6.06 21.13 9.85 9.72 18.85 14.94
site93 GB London 16.28 14.27 18.46   79.74 31.62 33.13 21.23 43.28 32.25
site98 HR Zagreb 1.91 2.34 2.71 5.32 5.5 3.19 1.87 2.04 4.18 3.26
site101 IT Milan 2.54 2.55 6.19 11.54 18.04 6.49 5.69 3.59 10.56 7.58
site107 NL Amsterdam 97.81 52.29 43.3 50.71 142.12     75.05 78.71 77.24
site108 NL Eindhoven 82.82 57.68 61 63.33 92.38 60.15 49.38 63.29 69.22 66.68
site112 NO Oslo 0 0 0 0 0 0 0 0 0 0
site125 SE Umea 0 0 0 0 0 0 0 0 0 0
 

Wastewater source data

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