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从2007年到2022年,中国的水污染排放的高分辨率网格数据集

Ze Yuan^1,2, Ting Ma^3,4,5

¹State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, PR China.

Scientific data

|January 16, 2026

概括

中国现在拥有高分辨率的水污染数据,详细介绍了从2007年到2022年的化学氧气需求 (COD) 和 (NH3-N) 排放情况. 这些关键数据支持有针对性的水质管理和污染控制战略.

科学领域:

环境科学环境科学
水质管理水质管理
地理空间数据分析.

背景情况:

现有的中国水污染数据的空间时间分辨率有限,阻碍了有效的管理.
省级数据和十年人口普查限制了详细的污染动态分析和政策评估.

研究的目的:

开发一个高分辨率 (30弧秒) 的数据集,记录从2007年到2022年中国大陆的水污染排放情况.
在网格尺度上量化化学氧需求 (COD) 和 (NH3-N) 的排放量.

主要方法:

整合省级污染源统计与地理空间数据,使用自上而下的下调框架.
将省级排放分配给大约1公里的电网电池.
从城市住宅,农村住宅,工业,农作物和畜牧业排放的量化.

主要成果:

创建中国大陆 (2007-2022) 的高分辨率部门污染水排放数据集.
与城市一级人口普查记录的验证显示,COD和NH3-N.两者的强烈一致 (R2>0.6).
该数据集揭示了以前被省级数据所掩盖的细度污染热点.

结论:

新的数据集为了解中国水污染动态提供了前所未有的细节.
能够识别河流流域中的污染热点,支持有针对性的污染控制战略.
促进改善水质管理和更细微的政策评估.

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