Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID ā–² Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-1381 PEER REVIEWED ARTICLE 2019 K.M. Unice , M.P. Weeber , M.M. Abramson , R.C.D. Reid , J.A.G. van Gils , A.A. Markus , A.D. Vethaak , J.M. Panko Characterizing export of land-based microplastics to the estuary - Part II: Sensitivity analysis of an integrated geospatial microplastic transport modeling assessment of tire and road wear particles 10.1016/j.scitotenv.2018.08.301 Simulation & Modeling River Basins No abstract available 603437
publications-1382 PEER REVIEWED ARTICLE 2018 Annemarie P. van Wezel , Floris van den Hurk , Rosa M.A. Sjerps , Erwin M. Meijers , Erwin W.M. Roex , Thomas L. ter Laak Impact of industrial waste water treatment plants on Dutch surface waters and drinking water sources 10.1016/j.scitotenv.2018.05.325 Simulation & Modeling Stratosphere No abstract available 603437
publications-1383 PEER REVIEWED ARTICLE 2018 Milou ML Dingemans , Kirsten A Baken , Ron van der Oost , Merijn Schriks , Annemarie P van Wezel Risk-based approach in the revised European Union drinking water legislation: Opportunities for bioanalytical tools 10.1002/ieam.4096 Simulation & Modeling Precipitation & Ecological Systems Abstract ā€ƒ A plethora of in vitro bioassays are developed in the context of chemical risk assessment and clinical diagnostics to test effects on different biological processes. Such assays can also be implemented in effect-based monitoring (EBM) of (drinking) water quality alongside chemical analyses. Effects-based monitoring can provide insight into risks for the environment and human health associated with exposure to (unknown) complex, low-level mixtures of micropollutants, which fits in the risk-based approach that was recently introduced in the European Drinking Water Directive. Some challenges remain, in particular those related to selection and interpretation of bioassays. For water quality assessment, carcinogenesis, adverse effects on reproduction and development, effects on xenobiotic metabolism, modulation of hormone systems, DNA reactivity, and adaptive stress responses are considered the most relevant toxicological endpoints. An evaluation procedure of the applicability and performance of in vitro bioassays for water quality monitoring, based on existing information, has been developed, which can be expanded with guidelines for experimental evaluations. In addition, a methodology for the interpretation of in vitro monitoring data is required, because the sensitivity of specific in vitro bioassays in combination with sample concentration may lead to responses of chemicals (far) below exposure concentrations that are relevant for human health effects. Different approaches are proposed to derive effect-based trigger values (EBTs), including EBTs based on (1) relative ecotoxicity potency, (2) health-based threshold values for chronic exposure in humans and kinetics of reference chemicals, and (3) read-across from (drinking) water guideline values. Effects-based trigger values need to be chosen carefully in order to be sufficiently but not overly conservative to indicate potential health effects. Consensus on the crucial steps in the selection and interpretation of in vitro bioassay data will facilitate implementation and legal embedding in the context of water quality monitoring of such assays in EBM strategies. Integr Environ Assess Manag 2019;15:126ā€“134. Ā© 2018 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals, Inc. on behalf of Society of Environmental Toxicology & Chemistry (SETAC) 603437
publications-1384 PEER REVIEWED ARTICLE 2018 Kirsten A. Baken , Rosa M.A. Sjerps , Merijn Schriks , Annemarie P. van Wezel Toxicological risk assessment and prioritization of drinking water relevant contaminants of emerging concern 10.1016/j.envint.2018.05.006 Simulation & Modeling Stratosphere No abstract available 603437
publications-1385 PEER REVIEWED ARTICLE 2018 Jochem Louisse , Milou M.L. Dingemans , Kirsten A. Baken , Annemarie P. van Wezel , Merijn Schriks Exploration of ToxCast/Tox21 bioassays as candidate bioanalytical tools for measuring groups of chemicals in water 10.1016/j.chemosphere.2018.06.056 Simulation & Modeling Stratosphere No abstract available 603437
publications-1386 PEER REVIEWED ARTICLE 2018 Juliane Hollender , Judith Rothardt , Dirk Radny , Martin Loos , Jannis Epting , Peter Huggenberger , Paul Borer , Heinz Singer Comprehensive micropollutant screening using LC-HRMS/MS at three riverbank filtration sites to assess natural attenuation and potential implications for human health 10.1016/j.wroa.2018.100007 Data Management & Analytics Precipitation & Ecological Systems No abstract available 603437
publications-1387 PEER REVIEWED ARTICLE 2017 Leo Posthuma , Colin D. Brown , Dick de Zwart , Jerome Diamond , Scott D. Dyer , Christopher M. Holmes , Stuart Marshall , G. Allen Burton Prospective mixture risk assessment and management prioritizations for river catchments with diverse land uses 10.1002/etc.3960 Data Management & Analytics Precipitation & Ecological Systems Abstract ā€ƒ Ecological risk assessment increasingly focuses on risks from chemical mixtures and multiple stressors because ecosystems are commonly exposed to a plethora of contaminants and nonchemical stressors. To simplify the task of assessing potential mixture effects, we explored 3 land useā€“related chemical emission scenarios. We applied a tiered methodology to judge the implications of the emissions of chemicals from agricultural practices, domestic discharges, and urban runoff in a quantitative model. The results showed land useā€“dependent mixture exposures, clearly discriminating downstream effects of land uses, with unique chemical ā€œsignaturesā€ regarding composition, concentration, and temporal patterns. Associated risks were characterized in relation to the land-use scenarios. Comparisons to measured environmental concentrations and predicted impacts showed relatively good similarity. The results suggest that the land uses imply exceedances of regulatory protective environmental quality standards, varying over time in relation to rain events and associated flow and dilution variation. Higher-tier analyses using ecotoxicological effect criteria confirmed that species assemblages may be affected by exposures exceeding no-effect levels and that mixture exposure could be associated with predicted species loss under certain situations. The model outcomes can inform various types of prioritization to support risk management, including a ranking across land uses as a whole, a ranking on characteristics of exposure times and frequencies, and various rankings of the relative role of individual chemicals. Though all results are based on in silico assessments, the prospective land useā€“based approach applied in the present study yields useful insights for simplifying and assessing potential ecological risks of chemical mixtures and can therefore be useful for catchment-management decisions. Environ Toxicol Chem 2018;37:715ā€“728. Ā© 2017 The Authors. Environmental Toxicology Chemistry Published by Wiley Periodicals, Inc. 603437
publications-1388 PEER REVIEWED ARTICLE 2017 Christopher M. Holmes , Colin D. Brown , Mick Hamer , Russell Jones , Lorraine Maltby , Leo Posthuma , Eric Silberhorn , Jerold Scott Teeter , Michael Prospective aquatic risk assessment for chemical mixtures in agricultural landscapes 10.1002/etc.4049 Uncategorized River Basins Abstract ā€ƒ Environmental risk assessment of chemical mixtures is challenging because of the multitude of possible combinations that may occur. Aquatic risk from chemical mixtures in an agricultural landscape was evaluated prospectively in 2 exposure scenario case studies: at field scale for a program of 13 plant-protection products applied annually for 20 yr and at a watershed scale for a mixed land-use scenario over 30 yr with 12 plant-protection products and 2 veterinary pharmaceuticals used for beef cattle. Risk quotients were calculated from regulatory exposure models with typical real-world use patterns and regulatory acceptable concentrations for individual chemicals. The results could differentiate situations when there was concern associated with single chemicals from those when concern was associated with a mixture (based on concentration addition) with no single chemical triggering concern. Potential mixture risk was identified on 0.02 to 7.07% of the total days modeled, depending on the scenario, the taxa, and whether considering acute or chronic risk. Taxa at risk were influenced by receiving water body characteristics along with chemical use profiles and associated properties. The present study demonstrates that a scenario-based approach can be used to determine whether mixtures of chemicals pose risks over and above any identified using existing approaches for single chemicals, how often and to what magnitude, and ultimately which mixtures (and dominant chemicals) cause greatest concern. Environ Toxicol Chem 2018;37:674ā€“689. Ā© 2017 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC. Abstract Acute and chronic mixture risk was assessed for aquatic organisms using field- and catchment-scale scenarios for multiple agricultural products applied annually up to 30 years (single year shown for clarity). Results identified potential risks, and determined whether mixtures of chemicals pose risks beyond any identified using existing approaches for single chemicals, how often and to what magnitude. 603437
publications-1389 PEER REVIEWED ARTICLE 2015 JuliĆ”n Blasco , AlĆ­cia Navarro-Ortega , DamiĆ  BarcelĆ³ Towards a better understanding of the links between stressors, hazard assessment and ecosystem services under water scarcity 10.1016/j.scitotenv.2014.08.022 Data Management & Analytics Uncategorized No abstract available 603437
publications-1390 PEER REVIEWED ARTICLE 2018 Henriette Meyer-Alert , Kim Ladermann , Maria Larsson , Sabrina Schiwy , Henner Hollert , Steffen H. Keiter A temporal high-resolution investigation of the Ah-receptor pathway during early development of zebrafish (Danio rerio) 10.1016/j.aquatox.2018.09.007 Data Management & Analytics River Basins No abstract available 603437