Remote sensing of atmospheric particulate mass of dry PM2.5near the ground: Method validation using ground-based measurements

	Remote sensing of atmospheric particulate mass of dry PM2.5near the ground: Method validation using ground-based measurements
	Li, Zhengqiang 1; Zhang, Ying 1; Shao, Jie 1; Li, Baosheng 1; Hong, Jin 1; Liu, Dong 1; Li, Donghui 1; Wei, Peng 1; Li, Wei 1; Li, Lei 1
刊名	Remote Sensing of Environment
	2016
卷号	173 页码:59-68
通讯作者	Li, Zhengqiang (lizq@radi.ac.cn)
英文摘要	The satellite-based estimation of dry PM2.5mass concentration near the surface is a big challenge in the aerosol remote sensing fields, but urgently needed by the environmental monitoring. We present an experimental validation of a physical PM2.5remote sensing (PMRS) method which is not dependent on geographical location, based on ground-based remote sensing measurements at Jinhua City, a typical middle size city in East of China. The PMRS method is designed to employ currently available satellite remote sensing parameters as many as possible, including aerosol optical depth (AOD), fine mode fraction (FMF), planetary boundary layer height (PBLH) and atmospheric relative humidity (RH), and thus be capable of deriving PM2.5from instantaneous remote sensing measurements under different pollution levels. The key processes of the PM2.5method including size cutting, volume visualization, bottom isolation and particle drying are directly validated by comparing with reference parameters. We found that the size cutting of the PMRS method has a significant bias (about 0.86) resulting from the use of fine mode fraction to estimate PM2.5among all size of aerosol particles, which should be systematically corrected. The validation results of the volume visualization and particle drying of the PMRS method are quite satisfied while the bottom isolation procedure brings currently the maximum uncertainty to the PM2.5remote sensing. The improved PMRS method shows good performance on the remote sensing of hourly PM2.5with an average error of about 38μg/m3and relative error of about 31%. The correlation coefficient between remote sensing and in situ hourly PM2.5is about 0.67 with a linear slope of 1.03 and intercept of 11μg/m3while the means are very close (110.7μg/m3versus 118.6μg/m3). The validation study also helps find out future improvement directions and demonstrates the possible application to ground-based remote sensing data. © 2015 Elsevier Inc.
收录类别	EI
语种	英语
WOS记录号	WOS:20154801607266
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39590]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1. State Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. Zhejiang Normal University, Jinhua, China 3. Hefei University of Technology, Hefei, China 4. Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, China
推荐引用方式 GB/T 7714	Li, Zhengqiang,Zhang, Ying,Shao, Jie,et al. Remote sensing of atmospheric particulate mass of dry PM2.5near the ground: Method validation using ground-based measurements[J]. Remote Sensing of Environment,2016,173:59-68.
APA	Li, Zhengqiang.,Zhang, Ying.,Shao, Jie.,Li, Baosheng.,Hong, Jin.,...&Qie, Lili.(2016).Remote sensing of atmospheric particulate mass of dry PM2.5near the ground: Method validation using ground-based measurements.Remote Sensing of Environment,173,59-68.
MLA	Li, Zhengqiang,et al."Remote sensing of atmospheric particulate mass of dry PM2.5near the ground: Method validation using ground-based measurements".Remote Sensing of Environment 173(2016):59-68.