一个高分辨率的网格数据集,用于中国每月的部门用水情况
Yuqian Zhang1,2, Yunhe Yin3, Mijia Yin1,2
1Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Scientific data
|July 7, 2025
概括
一个新的数据集提供了中国的高分辨率用水数据,改进了人类用水量分析. 高分辨率的部门用水数据集 (HSWUD) 提供了每月的格式化数据,从1965-2022年.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 数据科学数据科学数据科学
背景情况:
- 高质量的用水数据集对于水资源管理至关重要,尤其是在不断变化的环境中.
- 现有的中国用水数据缺乏详细分析所需的空间和时间分辨率.
- 这限制了对人类用水模式及其时空变化的理解.
研究的目的:
- 开发和介绍中国大陆的高分辨率部门用水数据集 (HSWUD).
- 提高中国各地用水数据的空间细节和季节性分布.
- 为水资源研究和管理提供有价值的资源.
主要方法:
- 综合遥感土地使用数据,人口密度,气象数据和工业调查数据.
- 开发了一个缩小算法,结合多个共变量来分解省级数据.
- 在0.1°×0.1°的月度网格电池分辨率达到1965年2022年期间.
主要成果:
- HSWUD涵盖了关键领域:灌,制造业,热力制冷和家庭用水.
- 该数据集与县级统计数据有很强的相关性 (R2 = 0.88).
- 捕获的时空模式与现有的数据集保持一致,验证了方法.
结论:
- 通过提供前所未有的空间和时间分辨率,HSWUD显著改善了现有的数据集.
- 这一数据集可以更详细地分析中国的用水动态.
- HSWUD是推动水资源研究和宣传可持续水资源管理实践的关键工具.
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