ArticleScientific data2026
High-resolution gridded dataset of sectoral water pollution discharges in China from 2007 to 2022.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- High-resolution gridded dataset of sectoral water pollution discharges in China from 2007 to 2022.Scientific data · 2026Article
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2 authors.
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Abstract
High-resolution datasets of anthropogenic water pollution discharges are essential for characterizing pollution dynamics and informing water quality management. However, China's pollution source data remain limited to provincial scales and decadal censuses, constraining spatiotemporal analyses and policy evaluation. We present a High-resolution Sectoral Water Pollution Discharge Dataset for mainland China (2007-2022), providing annual data at 30 arc-second (approximately 1 km at the equator) resolution. By integrating pollution source statistics with geospatial data through a top-down downscaling framework, we allocated provincial discharges to grid cells. The dataset quantifies gridded anthropogenic discharge measured by chemical oxygen demand (COD) and ammonium nitrogen (NH
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