Our workstream comprises a community of water quality modellers. Water quality models are important tools in water quality management. Water quality models try to represent reality using data and mathematical equations. The outcome of water quality models is usually loads or concentrations of contaminants in a studied water body. These outcomes can then be used to evaluate the impact of water quality on, for instance, ecosystem health, human health and food production.
Water models are powerful tools to improve our understanding of important sources and spatial and temporal patterns of contamination, and of water quality impacts. Modelling also provides estimates of water quality where there are no data. Additionally, models can be used in scenario analysis. By changing model input data, for instance to represent global change, or interventions to improve water quality such as sanitation changes, the consequence of those changes for the water quality can be assessed. This way experiments can be done that can help show how water quality and impacts are expected to change in the future, or help identify the most effective interventions to improve water quality. Our workstream currently includes large-scale modellers. However, we intend to expand to include also more local-scale modellers.
Highlights
Workstream publications
2024
Multimodel and Multiconstituent Scenario Construction for Future Water Quality Journal Article
In: Environmental Science & Technology Letters, vol. 11, no. 12, pp. 1272–1280, 2024, ISSN: 2328-8930, 2328-8930.
2019
Model inter-comparison design for large-scale water quality models Journal Article
In: Current Opinion in Environmental Sustainability, vol. 36, pp. 59–67, 2019, ISSN: 18773435.
Workstream events
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