Articles | Volume 12, issue 12
https://doi.org/10.5194/gmd-12-5213-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-5213-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
11 Dec 2019
Model description paper |
| 11 Dec 2019
| 11 Dec 2019
GLOBAL-FATE (version 1.0.0): A geographical information system (GIS)-based model for assessing contaminants fate in the global river network
Carme Font
Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain
University of Girona, Girona, Spain
Francesco Bregoli
Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain
current address: Department of Environmental Science, Institute for Water and Wetland Research, Radboud University
Heyendaalseweg 135, 6525 AJ, Nijmegen, the Netherlands
Vicenç Acuña
Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain
University of Girona, Girona, Spain
Sergi Sabater
Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain
Institute of Aquatic Ecology, University of Girona, Campus
Montilivi, 17071 Girona, Spain
Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain
University of Girona, Girona, Spain
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Cited
21 citations as recorded by crossref.
- Framing biophysical and societal implications of multiple stressor effects on river networks S. Sabater et al. 10.1016/j.scitotenv.2020.141973
- Assessment of Existing Fate and Transport Models for Predicting Antibiotic Degradation and Transport in the Aquatic Environment: A Review T. Addis et al. 10.3390/w15081511
- COVID-19 estimated to have increased plastics, diclofenac, and triclosan pollution in more than half of urban rivers worldwide Q. Zhang et al. 10.1016/j.crsus.2023.100001
- Using correlative science, open access big data and ensemble machine learning to track contamination signals in the wild: A first landscape-scale prediction for the Himalayan vulture (Gyps himalayensis) associated with diclofenac in Asia D. Karmacharya et al. 10.1016/j.ecoinf.2025.103243
- Management actions to mitigate the occurrence of pharmaceuticals in river networks in a global change context V. Acuña et al. 10.1016/j.envint.2020.105993
- Pharmaceuticals and Personal Care Products in the Aquatic Environment: How Can Regions at Risk be Identified in the Future? J. Wilkinson et al. 10.1002/etc.5763
- Coupling hydrological and sanitation datasets to simulate wastewater-derived contamination in European rivers: Model development and calibration J. Klink et al. 10.1016/j.envsoft.2024.106049
- Sewage pollution, declining ecosystem health, and cross-sector collaboration S. Wear et al. 10.1016/j.biocon.2021.109010
- Distribution and characteristics of wastewater treatment plants within the global river network H. Ehalt Macedo et al. 10.5194/essd-14-559-2022
- Estimation of Unintended Treated Wastewater Contributions to Streams in the Yangtze River Basin and the Potential Human Health and Ecological Risk Analysis Y. Tong et al. 10.1021/acs.est.1c02131
- HydroFATE (v1): a high-resolution contaminant fate model for the global river system H. Ehalt Macedo et al. 10.5194/gmd-17-2877-2024
- Spatial estimation of veterinary antibiotics from husbandry to soil to river with resistance risk assessment in urban agglomerations N. Cheng et al. 10.1016/j.envres.2025.121212
- Ecological Risk Assessment of Pharmaceuticals in the Transboundary Vecht River (Germany and The Netherlands) D. Duarte et al. 10.1002/etc.5062
- Existent nature reserves not optimal for water service provision and conservation on the Qinghai-Tibet Plateau of China . Da Lü et al. 10.1016/j.gecco.2021.e01945
- Visible Light–Driven Advanced Oxidation Processes to Remove Emerging Contaminants from Water and Wastewater: a Review P. Zawadzki 10.1007/s11270-022-05831-2
- Causes of coastal waters pollution with nutrients, chemicals and plastics worldwide I. Micella et al. 10.1016/j.marpolbul.2023.115902
- Properties and fate and transport of persistent and mobile polar organic water pollutants: A review E. Christensen et al. 10.1016/j.jece.2022.107201
- Pharmaceuticals and personal care product modelling: Unleashing artificial intelligence and machine learning capabilities and impact on one health and sustainable development goals M. Ashraf et al. 10.1016/j.scitotenv.2024.176999
- Lacustrine, wastewater, interstitial and fluvial water quality in the Southern Lake Baikal region V. Malnik et al. 10.2166/wh.2021.064
- WATER POLLUTION AND AGRICULTURE: MULTI-POLLUTANT PERSPECTIVES M. WANG et al. 10.15302/J-FASE-2023527
- Critical review on toxic contaminants in surface water ecosystem: sources, monitoring, and its impact on human health P. Singh et al. 10.1007/s11356-024-34932-0
21 citations as recorded by crossref.
- Framing biophysical and societal implications of multiple stressor effects on river networks S. Sabater et al. 10.1016/j.scitotenv.2020.141973
- Assessment of Existing Fate and Transport Models for Predicting Antibiotic Degradation and Transport in the Aquatic Environment: A Review T. Addis et al. 10.3390/w15081511
- COVID-19 estimated to have increased plastics, diclofenac, and triclosan pollution in more than half of urban rivers worldwide Q. Zhang et al. 10.1016/j.crsus.2023.100001
- Using correlative science, open access big data and ensemble machine learning to track contamination signals in the wild: A first landscape-scale prediction for the Himalayan vulture (Gyps himalayensis) associated with diclofenac in Asia D. Karmacharya et al. 10.1016/j.ecoinf.2025.103243
- Management actions to mitigate the occurrence of pharmaceuticals in river networks in a global change context V. Acuña et al. 10.1016/j.envint.2020.105993
- Pharmaceuticals and Personal Care Products in the Aquatic Environment: How Can Regions at Risk be Identified in the Future? J. Wilkinson et al. 10.1002/etc.5763
- Coupling hydrological and sanitation datasets to simulate wastewater-derived contamination in European rivers: Model development and calibration J. Klink et al. 10.1016/j.envsoft.2024.106049
- Sewage pollution, declining ecosystem health, and cross-sector collaboration S. Wear et al. 10.1016/j.biocon.2021.109010
- Distribution and characteristics of wastewater treatment plants within the global river network H. Ehalt Macedo et al. 10.5194/essd-14-559-2022
- Estimation of Unintended Treated Wastewater Contributions to Streams in the Yangtze River Basin and the Potential Human Health and Ecological Risk Analysis Y. Tong et al. 10.1021/acs.est.1c02131
- HydroFATE (v1): a high-resolution contaminant fate model for the global river system H. Ehalt Macedo et al. 10.5194/gmd-17-2877-2024
- Spatial estimation of veterinary antibiotics from husbandry to soil to river with resistance risk assessment in urban agglomerations N. Cheng et al. 10.1016/j.envres.2025.121212
- Ecological Risk Assessment of Pharmaceuticals in the Transboundary Vecht River (Germany and The Netherlands) D. Duarte et al. 10.1002/etc.5062
- Existent nature reserves not optimal for water service provision and conservation on the Qinghai-Tibet Plateau of China . Da Lü et al. 10.1016/j.gecco.2021.e01945
- Visible Light–Driven Advanced Oxidation Processes to Remove Emerging Contaminants from Water and Wastewater: a Review P. Zawadzki 10.1007/s11270-022-05831-2
- Causes of coastal waters pollution with nutrients, chemicals and plastics worldwide I. Micella et al. 10.1016/j.marpolbul.2023.115902
- Properties and fate and transport of persistent and mobile polar organic water pollutants: A review E. Christensen et al. 10.1016/j.jece.2022.107201
- Pharmaceuticals and personal care product modelling: Unleashing artificial intelligence and machine learning capabilities and impact on one health and sustainable development goals M. Ashraf et al. 10.1016/j.scitotenv.2024.176999
- Lacustrine, wastewater, interstitial and fluvial water quality in the Southern Lake Baikal region V. Malnik et al. 10.2166/wh.2021.064
- WATER POLLUTION AND AGRICULTURE: MULTI-POLLUTANT PERSPECTIVES M. WANG et al. 10.15302/J-FASE-2023527
- Critical review on toxic contaminants in surface water ecosystem: sources, monitoring, and its impact on human health P. Singh et al. 10.1007/s11356-024-34932-0
Latest update: 31 Oct 2025
Short summary
GLOBAL-FATE is an open-source, multiplatform, and flexible model that simulates the fate of pharmaceutical-like compounds in the global river network. The model considers the consumption of pharmaceuticals by humans, differentiates between pharmaceutical load treated in wastewater treatment plants from that directly delivered to streams and rivers, and integrates lakes and reservoirs in calculations. GLOBAL-FATE is a powerful tool for pollutant impact studies at the global scale.
GLOBAL-FATE is an open-source, multiplatform, and flexible model that simulates the fate of...
