Skip to main content

Advertisement

Environmental Sciences Europe
Environmental Sciences Europe Cover Image
Download PDF

Effect-based methods are key. The European Collaborative Project SOLUTIONS recommends integrating effect-based methods for diagnosis and monitoring of water quality

Environmental Sciences Europe volume 31, Article number: 10 (2019) Cite this article

Abstract

The present monitoring and assessment of the chemical status of water bodies fail to characterize the likelihood that complex mixtures of chemicals affect water quality. The European Collaborative Project SOLUTIONS suggests that this likelihood can be estimated with effect-based methods (EBMs) complemented by chemical screening and/or impact modeling. These methods should be used to identify the causes of impacted water quality and to develop programs of measures to improve water quality. Along this line of reasoning, effect-based methods are recommended for Water Framework Directive (WFD) monitoring to cover the major modes of action in the universe of environmentally relevant chemicals so as to evaluate improvements of water quality upon implementing the measures. To this end, a minimum battery of bioassays has been recommended including short-term toxicity to algae, Daphnia and fish embryos complemented with in vitro and short-term in vivo tests on mode-of-action specific effects as proxies for long-term toxicity. The likelihood of adverse impacts can be established with effect-based trigger values, which differentiate good from poor water quality in close alignment with Environmental Quality Standards for individual chemicals, while taking into account mixture toxicity. The use of EBMs is suggested in the WFD as one avenue to establish the likelihood of adverse effects due to chemical pollution in European water systems. The present paper has been written as one component of a series of policy briefs to support decisions on water quality monitoring and management under the WFD.

Challenge

In line with the EU strategy for a non-toxic environment [1], the Organisation for Economic Co-operation and Development (OECD) Council Recommendation on Water [2] and the Sustainable Development Goals by the United Nations [3], protecting water resources from contamination with toxic substances is a major task of water quality assessment and management. Water quality assessment according to the European Water Framework Directive [4] is presently based on chemical analysis of 45 Priority Substances (PS) [5] to assess the chemical status together with different sets of River Basin-Specific Pollutants (RBSP) defined nationally, currently a total of approx. 300 in the different EU member states. It has been demonstrated that these substances reflect only a (site-specific and typically unknown) fraction of the overall chemical risk [6] and mixture risks are not considered. Thus, the current approach is insufficient to estimate the likelihood that chemical contamination causes harm to human health or aquatic ecosystems, and to develop programs of measures to reduce chemical pollution impacts. In the WFD, chemical pollution is defined as any chemical or mixture that poses harm (Article 2).

European surface waters contain tens to hundreds of thousands of chemicals including pesticides, biocides, pharmaceuticals, surfactants, personal care products and many more together with numerous transformation products. These chemical cocktails may pose a risk to ecosystems and raise concerns for human health if water resources are used for drinking water production, fishing and recreation. The focus on PSs and RBSPs encourages reduction in their use, but replacement of these substances by alternatives that pose similar hazards is an unresolved problem. Chemical monitoring of a few selected individual chemicals is and will increasingly be less informative for identifying the likelihood that chemical mixtures pose harm, whilst the probability of overlooking significant risks is high and increasing. As a result of the application of management measures, prioritized chemicals tend to be replaced by non-prioritized (non-regulated) ones that have often similar effects. This process increases the relative contribution of non-prioritized chemicals to the overall risk. A strategy that would focus on monitoring the concentrations of all chemicals on the market would practically fail. The logical solution for taking into account missing, and potentially harmful, chemicals would be to use integrative methods to evaluate the likelihood of complex mixtures causing harm.

Thus, the challenge is to characterize chemical pollution in a comprehensive way with limited resources, such that the impact of chemical pollution can be diagnosed, that risks to ecosystems and human health can be prevented, that resources for safe drinking water production can be protected with limited treatment costs, and that improvements through programs of measures can be monitored.

Recommendations

  • Implement effect-based methods (EBM) techniques to improve the “Analysis of Impacts” (diagnosis) under WFD-Annex II to (a) support water management with adequate information on the risks posed by the ‘universe of chemicals’ [7], and (b) enable monitoring of the success of programs of measures in improving water quality. EBMs are bioanalytical methods using the response of whole organisms (in vivo) or cellular bioassays (in vitro) to detect and quantify the effects of groups of chemicals on toxicological endpoints of concern. EBMs are helpful

    • For detecting the effects of mixtures of compounds in water resources and demonstrating their potential to affect aquatic organisms and human health,

    • For minimizing the risk of overlooking hazardous chemicals, transformation products and chemical mixtures,

    • For detecting hot spots of contamination for investigative monitoring,

    • For identifying risk drivers and prioritizing them for management measures,

    • For linking chemical and ecological status.

  • Use the guidance on available EBMs to integrate the EBMs into a solution-oriented water quality assessment and monitoring strategy to support River Basin Management Planning

  • Use a battery of bioassays covering major (eco)toxicological endpoints, which can be achieved by employing

    • Apical bioassays representing at least fish (96 h fish embryo acute toxicity), invertebrates (48 h daphnia immobilization) and algae (72 h inhibition of population growth) considered as Biological Quality Elements (BQE) for pelagic communities under the WFD and

    • In vitro assays addressing specific modes of action (MoA), such as specific assays addressing endocrine disruption, mutagenicity and activation of cellular defense mechanisms.

  • Apply sample enrichment before applying EBMs to separate organic micropollutants from other matrix components and to increase sensitivity of EBMs so that robust data based on concentration-effect models are derived and detection limits for hazardous chemicals equivalent to Environmental Quality Standards (EQS) of PS and RBSP are achieved.

  • Adopt regulatory frameworks supporting EBM application for diagnosing whether or not complex mixtures are impacting water quality and for monitoring in a way that not only addresses currently established effects but also allows for tackling endpoints of emerging concern. This is necessary since it may be expected that opening monitoring for EBMs will trigger the development of new cost-efficient methods that will address MoAs that are not yet covered.

  • Use EBMs for identifying the need for abatement measures and assessing their efficiency. If EBMs indicate unacceptable risks, decisions on measures can be taken without knowing the individual drivers of the risk. Examples are the observation of enhanced toxicity downstream of the discharge of effluents that may be abated with improved treatment technologies using advanced oxidation processes or activated carbon or toxicity abatement downstream of agricultural areas by applying extended buffer strips along the stream. The comparative application of EBMs upstream and downstream the discharge indicates the success of the measure in a cost-efficient way without the identification of individual chemicals. Moreover, the WFD suggests combining Lines of Evidence, whereby EBM results can be combined with other approaches such as emission inventories, pollutant concentration measurements and ecological monitoring data.

  • Use effect-directed analysis (EDA) if EBMs indicate unacceptable risks that are expected to be driven by site-specific chemicals for example from industrial processes that should be better avoided or treated at the source rather than with end-of-pipe treatment. A comprehensive overview on available EDA tools is available [8].

  • Combine EBMs with chemical analytical screening at priority sites for the identification of important risk drivers at a larger scale, contamination trends, newly emerging chemicals and spills to prioritize chemicals for regulation and as integrated early warning tools for upcoming pollution problems.

Requirements

Integrating EBMs into both diagnosis (Annex II) and/or surveillance, operational and investigative monitoring for water quality management requires:

  • Recognition that—given current concerns on water quality and adverse trends as well as the WFD definition of ‘pollution’ related to all chemicals—it is required to employ methods that enable the evaluation of the hazards of the whole ‘universe of chemicals’ where needed;

  • Recognition that effect-based monitoring is one of the operationalized methods providing information along one of the lines of evidence mentioned in the WFD (Annex II) to evaluate the likelihood of harm of complex mixtures (diagnosis);

  • Agreement on and the establishment of a coherent battery of bioassays in order to cover modes of actions of all chemical groups considered to potentially pose harm to ecosystems and human health. This is supported by the experience and expertise in SOLUTIONS and the NORMAN network on emerging substances;

  • (Further) standardization of EBM-test systems with a focus on robust, small-volume and high-throughput assays to facilitate practices;

  • Agreement on and use of effect-based trigger values to assist in interpretation of effect-based monitoring for all EBMs in relation to the need to characterize the likelihood of posing harm;

  • Acknowledging and expanding the demonstration and evaluation of EBMs in practice-oriented case studies;

  • The design of a roadmap to support the consistent and useful implementation, and interpretation of EBMs for the purposes of the WFD, covering both the use of EBMs to diagnose the impacts of complex mixtures on current water quality as well as to improve surveillance, operational and investigative monitoring of complex mixtures in European water bodies.

Achievements

Compilation of a battery of bioassays

A wide range of EBMs has been applied successfully for both diagnostic and monitoring purposes to assess the likelihood of impacts of chemical pollution, most of them in a scientific development context for establishing robust and meaningful EBM-tools. These activities provided substantial progress towards the compilation of a useful battery of bioassays. First, a comprehensive analysis of about 1000 typical water contaminants identified 31 major MoA categories while for a substantial fraction (37%) of the compounds no information on MoAs was available [9]. Second, MoA-specific in vitro assays fit for the purpose of environmental diagnosis and monitoring are available for receptor-mediated endocrine effects, genotoxicity and mutagenicity, activation of metabolism, adaptive stress responses, photosynthesis inhibition and cell line-specific cytotoxic effects [10,11,12]. Thus, in vitro assays address well-described MoAs with known environmental relevance as proxies for long-term effects, although not all potentially relevant effects are covered with present test systems. To also cover chemicals with unknown and non-specific MoAs as well as with MoAs that cannot be addressed with existing MoA-specific in vitro assays and to detect specific impacts on the WFD-Biological Quality Elements, it is recommended to complement these assays with apical short-term toxicity bioassays representing at least fish (fish embryo toxicity), invertebrates (immobilization of daphnia) and algae (inhibition of cell multiplication), which represent BQEs for pelagic communities in WFD (Fig. 1). Amongst the MoA-specific in vitro assays, priority of application should be given to endocrine disruption and mutagenicity. Dioxin-like effects should be analyzed particularly in sediments [13], biota [14] and equilibrium passive samplers [15], since typical drivers of these effects are very hydrophobic and accumulate in these matrices.

Fig. 1
figure1

Recommended test battery of in vivo (orange) and in vitro (green) bioassays. ER estrogen receptor, AhR aryl hydrocarbon receptor

Full size image

Standardization and utility of test systems

In SOLUTIONS and the NORMAN network, we proposed a test battery of in vitro and in vivo bioassays and published standard operating procedures [12, 16]. The utility of EBMs is found in both the diagnosis and assessment of impacts on ecological status (cf. WFD Annex II) and the monitoring water quality status and trends (WFD Annex V).

Availability of robust enrichment tools

Solid-phase extraction (SPE) was found to be a suitable sample preparation method for environmental water samples that are to be tested in the aforementioned bioassays, with effect recovery by current SPE methods similar to recovery of individual chemicals by chemical analysis [17]. While sample enrichment is always restricted to an application domain with respect to the physicochemical properties of the chemicals, the “effect recovery” experiments indicated that for the typically applied co-polymer sorbents this domain is sufficiently broad to extract a large share of the overall toxicity of organic chemicals in water [17]. Metals and other inorganic chemicals are not addressed and need to be monitored separately. A robust mobile large-volume SPE has been developed for the use in the field, which avoids the transportation of large water volumes to the laboratory for enrichment [18] and allows for time-integrated as well as event-based sampling. Equilibrium passive sampling may be useful to concentrate hydrophobic chemicals in a biomimetic manner for subsequent EBM application [15]. For screening purposes, samplers for more hydrophilic compounds can also be used [15, 19].

Demonstration and evaluation in case studies

In SOLUTIONS, EBMs were applied in a series of case studies, where it was possible to characterize the likelihood that complex mixtures present in water systems pose specific (MoA-related) harm to the Biological Quality Elements, along a river stretch [20], around wastewater treatment plants [21, 22] and close to inflows of untreated wastewater [23]. For the selected types of example sites, mutagenic, estrogenic, androgenic and anti-androgenic effects could be established as markers for the likelihood that treated and untreated wastewater affects aquatic life. In addition, the methods allowed the impact of wastewater effluents on surface water quality to be estimated and the overall effects of chemical pollution on aquatic life and thus water quality to be assessed. The methods helped identify damage and associated causes (diagnosis, Annex II) in support of water quality management. Examples are the detection of strong anti-androgenic effects in the River Holtemme (Germany) and the identification of the fluorescence dye coumarin 47 as the cause of this effect [24], the detection of mutagenicity in the Rivers Mulde and Rhine and the identification of diaminophenazines [22] and synergistic effects of aromatic amines with natural alkaloids [25] as mutagenicity drivers. These examples may also underline how monitoring (Annex V) with EBM’s can help evaluate status and trends.

Quality/performance criteria for the benchmarking of estrogenicity bioassays have been recently investigated in an inter-laboratory comparison study [26]. In a Europe-wide demonstration program supported by SOLUTIONS, the NORMAN network, the Swiss Centre for Applied Ecotoxicology and the Joint Research Centre of the European Commission, the reliability of EBMs for screening of estrogenic compounds was analyzed to harmonize monitoring and data interpretation methods, and to contribute to the current WFD review process. Surface water and wastewater samples were collected across Europe and analyzed using chemical analyses and EBMs. The study demonstrated that the inclusion of effect-based screening methods into monitoring programs for estrogens in surface waterbodies is a valuable complement to chemical analysis because of the lower LODs of the EBMs in comparison to chemical analysis [27, 28]. Based on the results and achievements of SOLUTIONS and the NORMAN network, such comprehensive case studies should also be performed for other modes of action.

Development of effect-based trigger values (EBT)

Effect-based trigger values (EBT) have been developed for many EBMs. EBTs are expressed as bioanalytical equivalent concentrations (BEQ) and can be read across from existing EQS values for single chemicals. EBTs basically define an acceptable level of effect (translated into EBT-BEQ), in close alignment with the WFD protection goals and concentration-based Environmental Quality Standards (EQS), which proved to be useful for interpreting EBM-results in relation to the likelihood to pose harm [28, 29]. Bioassay-specific EBTs were derived by translating individual annual average (AA)-EQS for single dominant chemicals such as estrogens into EBT-BEQs [26, 28, 29], by ecological considerations and application of species sensitivity distributions [30] or by reading across from all existing EQSs using a transparent algorithm that does not require any user assumptions or judgements about the data [29]. The latter EBT-derivation method targets undefined mixtures acting according to a specific MoA. In contrast to EQSs, EBTs consider all chemicals in a mixture contributing to measured effect. Thus, this approach does not require individual guideline values for all mixture components of a mixture. Bioassay-specific EBTs are key for the interpretation of results from water quality assessment, as effects below the corresponding EBT indicate a low likelihood that the chemical mixtures pose harm whilst exceedance implies increasingly clear indications for harm to aquatic life. Importantly, the proposed approach can be applied to any bioassay provided there are sufficient effect data available.

References

  1. 1.

    European Commission, Living well, within the limits of our planet. 7th EAP—The new general Union Environment Action Programme to 2020, accessible via https://ec.europa.eu/environment/efe/themes/economics-strategy-and-information/here-2020-eu%E2%80%99s-new-environment-action-programme_en. 2016

  2. 2.

    OECD, OECD Council Recommendation on Water. http://www.oecd.org/water/recommendation/. 2016

  3. 3.

    United Nations, Transforming our world: The 2030 Agenda for Sustainable Development. A/RES/70/1. https://sustainabledevelopment.un.org/post2015/transformingourworld/publication. 2015

  4. 4.

    European Union (2000) Directive 2000/60/EC of the European Parliament and of the Council, establishing a framework for Community action in the field of water policy. Off J Eur Union L327(1)

  5. 5.

    European Union (2013) Directive 2013/39/EU of the European Parliament and the Council of 12. August 2013 amending Directives 2000/60/EC and 2008/105/EC as regards priority substances in the field of water policy. Off J Eur Union. L 226(1)

  6. 6.

    Moschet C et al (2014) How a complete pesticide screening changes the assessment of surface water quality. Environ Sci Technol 48(10):5423–5432

  7. 7.

    Wernersson AS et al (2015) The European technical report on aquatic effect-based monitoring tools under the water framework directive. Environ Sci Europe 27(1):1–11

  8. 8.

    Brack W et al (2016) Effect-directed analysis supporting monitoring of aquatic environments—an in-depth overview. Sci Total Environ 544:1073–1118

  9. 9.

    Busch W et al (2016) Micropollutants in European rivers: a mode of action survey to support the development of effect-based tools for water monitoring. Environ Toxicol Chem 35(8):1887–1899

  10. 10.

    Escher BI et al (2014) Benchmarking organic micropollutants in wastewater, recycled water and drinking water with in vitro bioassays. Environ Sci Technol 48(3):1940–1956

  11. 11.

    Di Paolo C et al (2016) Bioassay battery interlaboratory investigation of emerging contaminants in spiked water extracts—towards the implementation of bioanalytical monitoring tools in water quality assessment and monitoring. Water Res 104:473–484

  12. 12.

    Neale PA et al (2017) Development of a bioanalytical test battery for water quality monitoring: fingerprinting identified micropollutants and their contribution to effects in surface water. Water Res 123:734–750

  13. 13.

    Brack W, Schirmer K (2003) Effect-directed identification of oxygen and sulphur heterocycles as major polycyclic aromatic cytochrome P4501A-inducers in a contaminated sediment. Environ Sci Technol 37:3062–3070

  14. 14.

    Hewitt LM et al (2000) Characteristics of ligands for the Ah receptor and sex steroid receptors in hepatic tissues of fish exposed to bleached kraft mill effluent. Environ Sci Technol 34(20):4327–4334

  15. 15.

    Novák J et al (2018) Effect-based monitoring of the Danube River using mobile passive sampling. Sci Total Environ 636:1608–1619

  16. 16.

    Schiwy A et al (2015) Determination of the CYP1A-inducing potential of single substances, mixtures and extracts of samples in the micro-EROD assay with H4IIE cells. Nat Protoc 10(11):1728–1741

  17. 17.

    Neale PA et al (2018) Solid-phase extraction as sample preparation of water samples for cell-based and other: in vitro bioassays. Environ Sci Process Impacts 20:504

  18. 18.

    Schulze T et al (2017) Assessment of a novel device for onsite integrative large-volume solid phase extraction of water samples to enable a comprehensive chemical and effect-based analysis. Sci Total Environ 581–582:350–358

  19. 19.

    Toušová Z et al (2019) Analytical and bioanalytical assessments of organic micropollutants in the Bosna River using a combination of passive sampling, bioassays and multi-residue analysis. Sci Total Environ 650:1599–1612

  20. 20.

    Neale PA et al (2015) Linking in vitro effects and detected organic micropollutants in surface water using mixture-toxicity modeling. Environ Sci Technol 49(24):14614–14624

  21. 21.

    Neale PA et al (2017) Integrating chemical analysis and bioanalysis to evaluate the contribution of wastewater effluent on the micropollutant burden in small streams. Sci Total Environ 576:785–795

  22. 22.

    Muz M et al (2017) Identification of mutagenic aromatic amines in river samples with industrial wastewater impact. Environ Sci Technol 51(8):4681–4688

  23. 23.

    König M et al (2017) Impact of untreated wastewater on a major European river evaluated with a combination of in vitro bioassays and chemical analysis. Environ Pollut 220(Pt B):1220–1230

  24. 24.

    Muschket M et al (2018) Identification of unknown antiandrogenic compounds in surface waters by effect-directed analysis (EDA) using a parallel fractionation approach. Environ Sci Technol 52(1):288–297

  25. 25.

    Muz M et al (2017) Mutagenicity in surface waters: synergistic effects of carboline alkaloids and aromatic amines. Environ Sci Technol 51(3):1830–1839

  26. 26.

    Kunz PY et al (2017) Effect-based tools for monitoring estrogenic mixtures: evaluation of five in vitro bioassays. Water Res 110:378–388

  27. 27.

    Könemann S et al (2018) Effect-based and chemical analytical methods to monitor estrogens under the European Water Framework Directive. Trends Anal Chem 102:225–235

  28. 28.

    Kase R et al (2018) Screening and risk management solutions for steroidal estrogens in surface and wastewater. Trends Anal Chem 102:343–358

  29. 29.

    Escher BI et al (2018) Effect-based trigger values for in vitro and in vivo bioassays performed on surface water extracts supporting the environmental quality standards (EQS) of the European Water Framework Directive. Sci Total Environ 628–629:748–765

  30. 30.

    van der Oost R et al (2017) SIMONI (Smart Integrated Monitoring) as a novel bioanalytical strategy for water quality assessment: part I-Model design and effect-based trigger values. Environ Toxicol Chem 36(9):2385–2399

Download references

Authors’ contributions

WB has been responsible for the concept of the manuscript and drafted the manuscript. BE, HH, LP and RA helped to further elaborate the manuscript and contributed specific aspects. All authors read and approved the final manuscript.

Acknowledgements

This article has been prepared as an outcome of the SOLUTIONS project (European Union’s Seventh Framework Programme for research, technological development and demonstration under grant Agreement No. 603437). G.A. Umbuzeiro thanks FAPESP Projects 2013/16956-6 and 2015/24758-5.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

Not applicable; presented information is based on previously published data only.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Not applicable.

Open access

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Affiliations

  1. Helmholtz Centre for Environmental Research UFZ, Permoserstr. 15, 04318, Leipzig, Germany
    • Werner Brack
    • , Beate I. Escher
    • , Christin Müller
    •  & Rolf Altenburger
  2. Department of Ecosystem Analysis, Institute for Environmental Research, ABBt-Aachen Biology, Aachen, Germany
    • Werner Brack
    • , Henner Hollert
    • , Thomas-Benjamin Seiler
    •  & Rolf Altenburger
  3. Institut National de l’Environnement Industriel et des risques (INERIS), UMR-I 02 SEBIO, 60550, Verneuil-en-Halatte, France
    • Selim Ait Aissa
    •  & Valeria Dulio
  4. University of Gothenburg, Carl Skottsbergs Gata 22B, 40530, Gothenburg, Sweden
    • Thomas Backhaus
  5. Eberhard Karls University Tübingen, Environmental Toxicology, Center for Applied Geosciences, 72074, Tübingen, Germany
    • Beate I. Escher
  6. Faust & Backhaus Environmental Consulting, Fahrenheitstr. 1, 28359, Bremen, Germany
    • Michael Faust
  7. Research Centre for Toxic Compounds in the Environment (RECETOX), Faculty of Science, Masaryk University, Kamenice 753/5, 625 00, Brno, Czech Republic
    • Klara Hilscherova
  8. Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600, Dübendorf, Switzerland
    • Juliane Hollender
  9. IVL Swedish Environmental Research Institute, Gothenburg, Sweden
    • John Munthe
  10. National Institute for Public Health and Environment RIVM, Bilthoven, The Netherlands
    • Leo Posthuma
  11. Department of Environmental Science, Institute for Water and Wetland Research, Radboud University, Nijmegen, The Netherlands
    • Leo Posthuma
  12. Environmental Institute, Okruzna 784/42, 97241, Kos, Slovak Republic
    • Jaroslav Slobodnik
  13. Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovica 2, Novi Sad, 21000, Serbia
    • Ivana Teodorovic
  14. WatchFrog, Bâtiment Genavenir 3, 1 rue Pierre Fontaine, 91000, Evry, France
    • Andrew J. Tindall
  15. Laboratory of Ecotoxicology and Genotoxicity, School of Technology, State University of Campinas, UNICAMP, Limeira, SP, 13484332, Brazil
    • Gisela de Aragão Umbuzeiro
  16. State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, People’s Republic of China
    • Xiaowei Zhang
Authors
  1. Werner Brack
    View author publications
    You can also search for this author in
  2. Selim Ait Aissa
    View author publications
    You can also search for this author in
  3. Thomas Backhaus
    View author publications
    You can also search for this author in
  4. Valeria Dulio
    View author publications
    You can also search for this author in
  5. Beate I. Escher
    View author publications
    You can also search for this author in
  6. Michael Faust
    View author publications
    You can also search for this author in
  7. Klara Hilscherova
    View author publications
    You can also search for this author in
  8. Juliane Hollender
    View author publications
    You can also search for this author in
  9. Henner Hollert
    View author publications
    You can also search for this author in
  10. Christin Müller
    View author publications
    You can also search for this author in
  11. John Munthe
    View author publications
    You can also search for this author in
  12. Leo Posthuma
    View author publications
    You can also search for this author in
  13. Thomas-Benjamin Seiler
    View author publications
    You can also search for this author in
  14. Jaroslav Slobodnik
    View author publications
    You can also search for this author in
  15. Ivana Teodorovic
    View author publications
    You can also search for this author in
  16. Andrew J. Tindall
    View author publications
    You can also search for this author in
  17. Gisela de Aragão Umbuzeiro
    View author publications
    You can also search for this author in
  18. Xiaowei Zhang
    View author publications
    You can also search for this author in
  19. Rolf Altenburger
    View author publications
    You can also search for this author in

Corresponding author

Correspondence to Werner Brack.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Brack, W., Aissa, S.A., Backhaus, T. et al. Effect-based methods are key. The European Collaborative Project SOLUTIONS recommends integrating effect-based methods for diagnosis and monitoring of water quality. Environ Sci Eur 31, 10 (2019). https://doi.org/10.1186/s12302-019-0192-2

Download citation

Keywords

  • Effect-based monitoring
  • Diagnosis
  • Complex mixtures of chemicals
  • Likelihood of impacts
  • Recommendations
  • Water Framework Directive