大气与环境光学学报2025，Vol.20Issue(3)：325-337,13.DOI:10.3969/j.issn.1673-6141.2025.03.007
基于星载高光谱激光雷达估计中国区域PM2.5浓度的研究
Research on estimating PM2.5 concentration in China region based on spaceborne hyperspectral lidar
摘要
Abstract
In order to study the distribution of PM2.5 mass concentration in China and monitor the changes of atmospheric environment in China,based on the Aerosol and Carbon dioxide Detection Lidar(ACDL)aerosol data of atmospheric environment monitoring satellites(DQ-1)and the ground-based PM2.5 observation data of China,the correlation between aerosol optical depth(AOD)and PM2.5 data was improved through vertical correction and humidity correction,and the seasonal variation of PM2.5 mass concentration changes in China from June 2022 to May 2023 was estimated using the semi-empirical method.The results show that during the period from June 2022 to May 2023,the PM2.5 mass concentration in China is the lowest in summer and the highest in winter.Due to the existence of desert in Xinjiang,the annual PM2.5 mass concentration is relatively high.The PM2.5 mass concentration in most parts of China is about 30 μg/m3,and the correlation between remote sensing estimation of PM2.5 annual mean and station data is better than 0.71.This study is of certain significance for enriching regional PM2.5 inversion methods and expanding the application of ACDL atmospheric data.关键词
PM2.5/高光谱激光雷达/半经验法/垂直订正/湿度订正Key words
PM2.5/high-spectral-resolution lidar/semi-empirical method/vertical corrections/humidity corrections分类
资源环境引用本文复制引用
王雄,刘继桥,陈卫标,胡建波,马鹏飞,谢缘,樊纯璨,毕德仓,竹孝鹏,戴光耀,卜令兵..基于星载高光谱激光雷达估计中国区域PM2.5浓度的研究[J].大气与环境光学学报,2025,20(3):325-337,13.基金项目
中国科学院国际伙伴计划项目(18123KYSB20210013),上海市"科技创新行动计划"科技支撑碳达峰碳中和专项(22dz208700) （18123KYSB20210013）
