Atmospheric Chlorine Wet Deposition in China: National Decreases but Localized Increases in Urban Agglomerations

We compiled data from the network and 246 published studies to establish China's first long-term dataset of atmospheric Cl wet deposition from 1990 to 2020. Utilizing an optimized random forest model incorporating multi-source environmental factors, we generated a national Cl wet deposition grid dataset at 0.1° × 0.1° resolution for 2000–2020.本研究整合了网络观测数据与246项已发表研究的成果，构建了国内首套1990年至2020年的大气氯（Cl）湿沉降长期数据集。本研究采用融合多源环境因子的优化随机森林（Random Forest）模型，生成了2000年至2020年分辨率为0.1°×0.1°的全国大气氯湿沉降格点数据集。