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

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

Clean water is key for sustainable development. However, large gaps in monitoring data limit our understanding of global hotspots of poor water quality and their evolution over time. We demonstrate the value added of a data-driven approach (here, random forest) to provide accurate high-frequency est...

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Bibliographic Details
Main Authors: Sebastien Desbureaux, Frederic Mortier, Esha Zaveri, Michelle T H van Vliet, Jason Russ, Aude Sophie Rodella, Richard Damania
Format: Article
Language:English
Published: IOP Publishing 2022-01-01
Series:Environmental Research Letters
Subjects:
water quality
sustainable development goals
random forest
data-driven modelling
Online Access:https://doi.org/10.1088/1748-9326/ac9cf6

Internet

https://doi.org/10.1088/1748-9326/ac9cf6

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