Annual mean PM2.5 concentration dataset of 342 Chinese cities (2000-2024)

Air pollution is one of China's most serious environmental issues, seriously affecting human health and well-being. However, the detection of PM2.5 began in most Chinese cities after 2013, and data in some cities are missing. First, we collected global ground-observed PM2.5 concentration data calibrated using geographically weighted regression at Washington University in St. Louis and data from air quality monitoring stations in China. Using the zonal statistics tool in ArcGIS software, the annual average PM2.5 concentration datasets of 342 administrative units (prefecture-level cities and regions) in China from 2000 to 2024 were calculated. This dataset could support some research on air pollution control and urban environmental regulation in China, and can also provide references for the assessment of local government's environmental performance.

大气污染是中国当前最为突出的环境问题之一，严重危害人类健康与社会福祉。然而，中国多数城市直至2013年才启动PM2.5（细颗粒物）监测工作，部分城市存在数据缺失情况。本研究首先收集了两类数据：一是由圣路易斯华盛顿大学通过地理加权回归（geographically weighted regression, GWR）校准的全球地面观测PM2.5浓度数据，二是中国国内空气质量监测站点的实测数据。随后借助ArcGIS软件的分区统计工具，本研究计算得到了2000年至2024年中国342个行政区划单元（地级市及地区）的年均PM2.5浓度数据集。该数据集可支撑中国大气污染治理与城市环境规制相关研究，同时可为地方政府环境绩效评估提供参考依据。

搜集汇总

背景与挑战

背景概述

该数据集提供了中国342个地级市和地区从2000年至2024年的年均PM2.5浓度数据，旨在填补早期监测数据缺失的空白，通过整合全球地面观测和本地监测站信息，利用ArcGIS软件计算得出。数据集可用于支持空气污染控制、城市环境监管研究，并为评估地方政府环境绩效提供参考，具有时间跨度长、覆盖范围广的特点。