Articles | Volume 16, issue 15
https://doi.org/10.5194/gmd-16-4481-2023
© Author(s) 2023. 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-16-4481-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
08 Aug 2023
Model description paper |
| 08 Aug 2023
| 08 Aug 2023
DynQual v1.0: a high-resolution global surface water quality model
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
Marc F. P. Bierkens
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
Deltares, Unit Soil and Groundwater Systems, Utrecht, the Netherlands
Niko Wanders
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
Edwin H. Sutanudjaja
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
Ludovicus P. H. van Beek
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
Michelle T. H. van Vliet
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
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- Current and future global water scarcity intensifies when accounting for surface water quality E. Jones et al. 10.1038/s41558-024-02007-0
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- Economic risks hidden in local water pollution and global markets: A retrospective analysis (1995–2010) and future perspectives on sustainable development goal 6 J. Yang et al. 10.1016/j.watres.2024.121216
- Seasonality induced nutritional status in Nigeria Internally Displaced Persons (IDP) camps: CORDEX-Africa projected scenarios U. Okoro et al. 10.1016/j.ijdrr.2024.105101
- Heat4Future: A strategic planning tool for decarbonizing district heating systems N. Kicherer et al. 10.1016/j.mex.2025.103222
- Global river water quality under climate change and hydroclimatic extremes M. van Vliet et al. 10.1038/s43017-023-00472-3
- Blind spots in global water quality monitoring E. Jones et al. 10.1088/1748-9326/ad6919
- Prediction of wastewater quality parameters using adaptive and machine learning models: A South African case study A. Sheik et al. 10.1016/j.jwpe.2024.106185
- WATER POLLUTION AND AGRICULTURE: MULTI-POLLUTANT PERSPECTIVES M. WANG et al. 10.15302/J-FASE-2023527
- Bridging the gap: a new module for human water use in the Community Earth System Model version 2.2.1 S. Taranu et al. 10.5194/gmd-17-7365-2024
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Latest update: 21 Feb 2025
Short summary
DynQual is a new high-resolution global water quality model for simulating total dissolved solids, biological oxygen demand and fecal coliform as indicators of salinity, organic pollution and pathogen pollution, respectively. Output data from DynQual can supplement the observational record of water quality data, which is highly fragmented across space and time, and has the potential to inform assessments in a broad range of fields including ecological, human health and water scarcity studies.
DynQual is a new high-resolution global water quality model for simulating total dissolved...
