High-resolution gridded dataset of sectoral water pollution discharges in China from 2007 to 2022
文献类型：期刊论文
| 作者 | Yuan, Ze2,3; Ma, Ting1,2,3 |
| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2026-01-16 |
| 卷号 | 13期号:1页码:271 |
| DOI | 10.1038/s41597-026-06595-8 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | 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 (NH3-N) from five sectors: urban residential, rural residential, industrial, crop farming, and livestock farming. Validation was performed by comparing city-level aggregated estimates against official census records from 73 cities, demonstrating strong agreement (R & sup2; > 0.6) for both pollutants across all sectors. This dataset enables identification of fine-scale pollution hotspots within river basins that were previously obscured by provincial-scale data, thereby supporting the implementation of targeted pollution control strategies. |
| URL标识 | 查看原文 |
| WOS关键词 | NIGHTTIME LIGHT DATA ; ANTHROPOGENIC PHOSPHORUS ; NITROGEN ; LIVESTOCK ; TRANSFORMATION ; HEALTH ; TRENDS ; FUTURE |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001695301700003 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221035]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Ma, Ting |
| 作者单位 | 1.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yuan, Ze,Ma, Ting. High-resolution gridded dataset of sectoral water pollution discharges in China from 2007 to 2022[J]. SCIENTIFIC DATA,2026,13(1):271. |
| APA | Yuan, Ze,&Ma, Ting.(2026).High-resolution gridded dataset of sectoral water pollution discharges in China from 2007 to 2022.SCIENTIFIC DATA,13(1),271. |
| MLA | Yuan, Ze,et al."High-resolution gridded dataset of sectoral water pollution discharges in China from 2007 to 2022".SCIENTIFIC DATA 13.1(2026):271. |
入库方式： OAI收割
来源：地理科学与资源研究所
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