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Mapping global hotspots and trends of water quality (1992-2010): a data driven approach

Abstract : Clean water is key for sustainable development. However, large gaps in monitoring data limit our understanding of global hotspots of water quality and their evolution over time. We demonstrate the value added of a data-driven approach to provide accurate high-frequency estimates of surface water quality worldwide over the period 1992-2010. We assess water quality for six indicators (temperature, dissolved oxygen, pH, salinity, nitrate-nitrite, phosphorus) relevant for the Sustainable Development Goals (SDG). The performance of our modelling approach compares well to, or exceeds, the performance of recently published process-based models. The model's outputs indicate that poor water quality is a global problem that impacts low-, middle-and high-income countries but with different pollutants. When countries become richer, water pollution does not disappear but evolves.
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Preprints, Working Papers, ... (Working paper)
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Contributor : Laurent GARNIER Connect in order to contact the contributor
Submitted on : Tuesday, August 30, 2022 - 11:42:54 AM
Last modification on : Tuesday, November 29, 2022 - 10:12:13 AM


WP 2022-08.pdf
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  • HAL Id : hal-03764434, version 1



Sebastien Desbureaux, Frederic Mortier, Esha Zaveri, Michelle van Vliet, Jason Russ, et al.. Mapping global hotspots and trends of water quality (1992-2010): a data driven approach. 2022. ⟨hal-03764434⟩



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