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 ▲ Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-1361 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   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 use–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 use–dependent mixture exposures, clearly discriminating downstream effects of land uses, with unique chemical “signatures” 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 use–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;37:715–728. © 2017 The Authors. Environmental Toxicology Chemistry Published by Wiley Periodicals, Inc. 603437
publications-1362 PEER REVIEWED ARTICLE 2018 Branislav Vrana , Foppe Smedes , Ian Allan , Tatsiana Rusina , Krzysztof Okonski , Klára Hilscherová , Jiří Novák , Peter Tarábek , Jaroslav Slo Mobile dynamic passive sampling of trace organic compounds: Evaluation of sampler performance in the Danube River 10.1016/j.scitotenv.2018.03.242 Data Management & Analytics Uncategorized No abstract available 603437
publications-1363 PEER REVIEWED ARTICLE 2018 Jiří Novák , Branislav Vrana , Tatsiana Rusina , Krzysztof Okonski , Roman Grabic , Peta A. Neale , Beate I. Escher , Miroslava Macová , Selim Ait Effect-based monitoring of the Danube River using mobile passive sampling 10.1016/j.scitotenv.2018.02.201 Simulation & Modeling Precipitation & Ecological Systems No abstract available 603437
publications-1364 PEER REVIEWED ARTICLE 2018 R Kase, B Javurkova, E Simon, K Swart, S Buchinger, S Könemann , B I Escher, M Carere, V Dulio, S Ait-Aissa, H Hollert, S Valsecchi, S Polesello, P B Screening and risk management solutions for steroidal estrogens in surface and wastewater 10.1016/j.trac.2018.02.013 Data Management & Analytics Precipitation & Ecological Systems No abstract available 603437
publications-1365 PEER REVIEWED ARTICLE 2018 S Könemann, R Kase, E Simon, K Swart, S Buchinger, M Schlüsener, H Hollert, B I Escher, I Werner, S Aït-Aïssa, E Vermeirssen, V Dulio, S Valsecchi Effect-based and chemical analytical methods to monitor estrogens under the European Water Framework Directive 10.1016/j.trac.2018.02.008 Simulation & Modeling Precipitation & Ecological Systems No abstract available 603437
publications-1366 PEER REVIEWED ARTICLE 2018 T. Prochazkova , E. Sychrova , J. Vecerkova , B. Javurkova , A. Otoupalikova , M. Pernica , Z. Simek , M. Smutna , O. Lepsova-Skacelova , K. Hilschero Estrogenic activity and contributing compounds in stagnant water bodies with massive occurrence of phytoplankton 10.1016/j.watres.2018.02.040 Simulation & Modeling Precipitation & Ecological Systems No abstract available 603437
publications-1367 PEER REVIEWED ARTICLE 2018 José Ricardo R. M. Zwarg , Daniel A. Morales , Bianca S. Maselli , Werner Brack , Gisela A. Umbuzeiro Miniaturization of the microsuspension Salmonella/microsome assay in agar microplates 10.1002/em.22195 Data Management & Analytics Precipitation & Ecological Systems The Salmonella/microsome assay (Ames test) is the most widely used mutagenicity test for the evaluation of pure chemicals and environmental samples. There are several versions of protocols available in the literature, including those that reduce the amount of sample needed for testing with liquid and agar media. The microsuspension version of the Salmonella/microsome assay is more sensitive than the standard protocol. It is performed using 5‐times concentrated bacteria and less sample and S9 mixture, but still uses conventional Petri dishes (90 × 15 mm). It has been extensively used for environmental sample testing, including in effect‐directed analysis (EDA). The objective of this study was to miniaturize the microsuspension assay using 12‐well microplates instead of the conventional plates. For validation of this miniaturization, thirteen mutagenic compounds were tested using three Salmonella strains that were selected based on their different spontaneous reversion frequencies (low, medium, and high). The conditions of the miniaturized procedure were made as similar as possible to the microsuspension protocol, using the same testing design, metabolic activation, and data interpretation, and the tests were conducted in parallel. The miniaturized plate assay (MPA) and microsuspension procedures provided similar sensitivities although MPA is less laborious and require less sample and reagents, thereby reducing overall costs. We conclude that the MPA is a promising tool and can be particularly suitable for environmental studies such as EDA or monitoring programs. Environ. Mol. Mutagen. 59:488–501, 2018. © 2018 Wiley Periodicals, Inc. 603437
publications-1368 PEER REVIEWED ARTICLE 2018 A. Ginebreda , L. Sabater-Liesa , A. Rico , A. Focks , D. Barceló Reconciling monitoring and modeling: An appraisal of river monitoring networks based on a spatial autocorrelation approach - emerging pollutants in the Danube River as a case study 10.1016/j.scitotenv.2017.11.020 Data Management & Analytics Precipitation & Ecological Systems No abstract available 603437
publications-1369 PEER REVIEWED ARTICLE 2017 Nicola Mastroianni , Ester López-García , Cristina Postigo , Damià Barceló , Miren López de Alda 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 10.1016/j.scitotenv.2017.07.126 Simulation & Modeling Precipitation & Ecological Systems No abstract available 603437
publications-1370 PEER REVIEWED ARTICLE 2018 Kathrin Sackmann , Thorsten Reemtsma , Magnus Rahmberg , Dirk Bunke Impact of European chemicals regulation on the industrial use of plasticizers and patterns of substitution in Scandinavia 10.1016/j.envint.2018.06.037 Data Management & Analytics Precipitation & Ecological Systems No abstract available 603437