Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4229-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-4229-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Aug 2018
Research article |
| 10 Aug 2018
| 10 Aug 2018
Modelling biocide and herbicide concentrations in catchments of the Rhine basin
Andreas Moser
Eawag – Swiss Federal Institute of Aquatic Science and Technology,
Dübendorf, 8600, Switzerland
Devon Wemyss
Eawag – Swiss Federal Institute of Aquatic Science and Technology,
Dübendorf, 8600, Switzerland
current address: ZHAW School of Management and Law, Winterthur,
8400, Switzerland
Ruth Scheidegger
Eawag – Swiss Federal Institute of Aquatic Science and Technology,
Dübendorf, 8600, Switzerland
Fabrizio Fenicia
Eawag – Swiss Federal Institute of Aquatic Science and Technology,
Dübendorf, 8600, Switzerland
Mark Honti
MTA-BME Water Research Group, Hungarian Academy of Sciences, Budapest,
1111, Hungary
Eawag – Swiss Federal Institute of Aquatic Science and Technology,
Dübendorf, 8600, Switzerland
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Cited
14 citations as recorded by crossref.
- Methods comparison for detecting trends in herbicide monitoring time-series in streams R. Chow et al. 10.1016/j.scitotenv.2023.164226
- A review of pesticide fate and transport simulation at watershed level using SWAT: Current status and research concerns R. Wang et al. 10.1016/j.scitotenv.2019.03.141
- Do rainfall characteristics affect the export of copper, zinc and synthetic pesticides in surface runoff from headwater catchments? G. Imfeld et al. 10.1016/j.scitotenv.2020.140437
- Dynamics of Wastewater Effluent Contributions in Streams and Impacts on Drinking Water Supply via Riverbank Filtration in Germany—A National Reconnaissance S. Karakurt et al. 10.1021/acs.est.8b07216
- Development and testing of an efficient micropollutant monitoring strategy across a large watershed M. Kardos et al. 10.1016/j.scitotenv.2024.174760
- Relating Degradation of Pharmaceutical Active Ingredients in a Stream Network to Degradation in Water‐Sediment Simulation Tests M. Honti et al. 10.1029/2018WR023592
- Coupling field‐scale and watershed models for regulatory modeling of pesticide aquatic exposures in streams L. Ghebremichael et al. 10.1002/ieam.4596
- Phase Transfer and Biodegradation of Pesticides in Water–Sediment Systems Explored by Compound-Specific Isotope Analysis and Conceptual Modeling B. Droz et al. 10.1021/acs.est.0c06283
- Coupling Suspect and Nontarget Screening with Mass Balance Modeling to Characterize Organic Micropollutants in the Onondaga Lake–Three Rivers System S. Wang et al. 10.1021/acs.est.1c04699
- Changes in physiology, antioxidant system, and gene expression in Microcystis aeruginosa under fenoxaprop-p-ethyl stress S. Liu et al. 10.1007/s11356-024-32927-5
- SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models M. Dal Molin et al. 10.5194/gmd-14-7047-2021
- A review of modeling pesticides in freshwaters: Current status, progress achieved and desirable improvements. M. Centanni et al. 10.1016/j.envpol.2022.120553
- Long-term trends in Swiss rivers sampled continuously over 39 years reflect changes in geochemical processes and pollution J. Zobrist et al. 10.1007/s11356-018-1679-x
- Passive samplers in sewers and rivers with highly fluctuating micropollutant concentrations – Better than we thought L. Mutzner et al. 10.1016/j.jhazmat.2018.07.040
12 citations as recorded by crossref.
- Methods comparison for detecting trends in herbicide monitoring time-series in streams R. Chow et al. 10.1016/j.scitotenv.2023.164226
- A review of pesticide fate and transport simulation at watershed level using SWAT: Current status and research concerns R. Wang et al. 10.1016/j.scitotenv.2019.03.141
- Do rainfall characteristics affect the export of copper, zinc and synthetic pesticides in surface runoff from headwater catchments? G. Imfeld et al. 10.1016/j.scitotenv.2020.140437
- Dynamics of Wastewater Effluent Contributions in Streams and Impacts on Drinking Water Supply via Riverbank Filtration in Germany—A National Reconnaissance S. Karakurt et al. 10.1021/acs.est.8b07216
- Development and testing of an efficient micropollutant monitoring strategy across a large watershed M. Kardos et al. 10.1016/j.scitotenv.2024.174760
- Relating Degradation of Pharmaceutical Active Ingredients in a Stream Network to Degradation in Water‐Sediment Simulation Tests M. Honti et al. 10.1029/2018WR023592
- Coupling field‐scale and watershed models for regulatory modeling of pesticide aquatic exposures in streams L. Ghebremichael et al. 10.1002/ieam.4596
- Phase Transfer and Biodegradation of Pesticides in Water–Sediment Systems Explored by Compound-Specific Isotope Analysis and Conceptual Modeling B. Droz et al. 10.1021/acs.est.0c06283
- Coupling Suspect and Nontarget Screening with Mass Balance Modeling to Characterize Organic Micropollutants in the Onondaga Lake–Three Rivers System S. Wang et al. 10.1021/acs.est.1c04699
- Changes in physiology, antioxidant system, and gene expression in Microcystis aeruginosa under fenoxaprop-p-ethyl stress S. Liu et al. 10.1007/s11356-024-32927-5
- SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models M. Dal Molin et al. 10.5194/gmd-14-7047-2021
- A review of modeling pesticides in freshwaters: Current status, progress achieved and desirable improvements. M. Centanni et al. 10.1016/j.envpol.2022.120553
2 citations as recorded by crossref.
- Long-term trends in Swiss rivers sampled continuously over 39 years reflect changes in geochemical processes and pollution J. Zobrist et al. 10.1007/s11356-018-1679-x
- Passive samplers in sewers and rivers with highly fluctuating micropollutant concentrations – Better than we thought L. Mutzner et al. 10.1016/j.jhazmat.2018.07.040
Latest update: 20 Nov 2024
Short summary
Many chemicals such as pesticides, pharmaceuticals or household chemicals impair water quality in many areas worldwide. Measuring pollution everywhere is too costly. Models can be used instead to predict where high pollution levels are expected. We tested a model that can be used across large river basins. We find that for the selected chemicals predictions are generally within a factor of 2 to 4 from observed concentrations. Often, knowledge about the chemical use limits the predictions.
Many chemicals such as pesticides, pharmaceuticals or household chemicals impair water quality...
