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

Sébastien Desbureaux, Frederic Mortier, Esha Zaveri, Michelle van Vliet, Jason Russ, Sophie Aude and Richard Damania
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Frederic Mortier: UPR Forêts et Sociétés - Forêts et Sociétés - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Cirad-ES - Département Environnements et Sociétés - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Esha Zaveri: World Bank Group
Michelle van Vliet: Universiteit Utrecht / Utrecht University [Utrecht]
Jason Russ: World Bank Group
Sophie Aude: World Bank Group
Richard Damania: World Bank Group

Working Papers from HAL

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.

Date: 2022-08-30
New Economics Papers: this item is included in nep-agr, nep-env and nep-int
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Related works:
Working Paper: Mapping global hotspots and trends of water quality (1992–2010): a data driven approach (2022)
Working Paper: Mapping global hotspots and trends of water quality (1992-2010): a data driven approach (2022)
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