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.
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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41 citations as recorded by crossref.
- A global dataset of 7 billion individuals with socio-economic characteristics M. Ton et al.
- Smart Materials for Dirty Waters: Reversible Aerogels Unlock Closed‐Loop Heavy Metal Remediation D. Gentile et al.
- Impact of transboundary water flows on quality-induced water pressure in China S. Liu et al.
- Climate change drives low dissolved oxygen and increased hypoxia rates in rivers worldwide D. Graham et al.
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- Complex interplay of water quality and water use affects water scarcity under droughts and heatwaves M. van Vliet
- 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.
- Wastewater matters: incorporating wastewater treatment and reuse into a process-based hydrological model (CWatM v1.08) D. Fridman et al.
- Genomic Connectivity and Adaptation Signals of the Freshwater Sponge Ephydatia muelleri Across Its Distribution L. Cruz‐Castillejo et al.
- Blind spots in global water quality monitoring E. Jones et al.
- Nigeria vegetation trend during recent West African monsoon season and the near future implications in CORDEX-Africa U. Okoro et al.
- WATER POLLUTION AND AGRICULTURE: MULTI-POLLUTANT PERSPECTIVES M. WANG et al.
- Bridging the gap: a new module for human water use in the Community Earth System Model version 2.2.1 S. Taranu et al.
- A Modeling Framework to Estimate the Transport and Fate of Mercury in Nationwide Surface Waters D. Correa-Caselles et al.
- The Many Pathways of Mining Impacts on Biodiversity V. Barbarossa et al.
- Water quality impacts on human health: towards an integrated, solution-oriented global assessment N. Hofstra et al.
- Cost-effective strategies can reduce water and energy requirements in China’s wastewater treatment by 2035 S. Han et al.
- Current and future global water scarcity intensifies when accounting for surface water quality E. Jones et al.
- From turbid to clear: Exploring management options to mitigate future nutrient pollution in Lake Taihu M. Chen et al.
- EcoTWIN 1.0: a fully distributed tracer-aided ecohydrological model tracking water, isotopes, and nutrients S. Wu et al.
- Urbanization and Environmental Practices on Public Health: Sustainable Solutions to Sustainable Development Goals 3, 6, and 11 in Rapidly Urbanizing Developing Countries in West Africa S. Ogwu et al.
- Future trajectories of total phosphorus loadings to the world’s major lakes: a perspective on sustainability and intensified development A. Tilahun et al.
- Hydro-meteorological factors and human activities contribute comparably to weekly water quality dynamics in the Yangtze River Basin L. Li et al.
- Insights into climate change effect on biochemical oxygen demand in Asian rivers: a comprehensive review and bibliometric analysis L. Siami et al.
- MAformer: A multivariate prediction framework with adaptive multi-scale decomposition and phase correction for water quality in aquaculture environments H. Xing et al.
- Seasonality induced nutritional status in Nigeria Internally Displaced Persons (IDP) camps: CORDEX-Africa projected scenarios U. Okoro et al.
- Advancing water quality model intercomparisons under global change: perspectives from the new ISIMIP water quality sector M. Strokal et al.
- Heat4Future: A strategic planning tool for decarbonizing district heating systems N. Kicherer et al.
- Effects of EU policy and climate change on future delivery of nutrients to European freshwater and seas B. Grizzetti et al.
- A novel method for frequency analysis of high water temperatures using temperature duration curves in a partially regulated watershed M. Khorsandi & S. Déry
- Global river water quality under climate change and hydroclimatic extremes M. van Vliet et al.
- Prediction of wastewater quality parameters using adaptive and machine learning models: A South African case study A. Sheik et al.
- Global mapping of pharmaceutical ecological risk in rivers using machine learning: drivers, hotspots, and compounded water stress J. Chen et al.
- Assessing the impact of upstream water quality levels on downstream economic growth in China: A high-resolution panel study Y. Ding et al.
- Identifying the determinants of the spatial patterns and temporal fluctuation characteristics of riverine pCO2 of the largest subtropical river using machine learning methods M. Chen et al.
- Flood Analysis in Lower Filyos Basin Using HEC-RAS and HEC-HMS Software B. Aksoy
- A multi-model assessment of global freshwater temperature and thermoelectric power supply under climate change E. Jones et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
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...