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

	Remote sensing of atmospheric particulate mass of dry PM2.5 near 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
关键词	SURFACE SCATTERING POLARIMETRIC SAR ROUGH SURFACES BACKSCATTERING MODEL RECORD BASIN CHINA EAR
通讯作者	Li, ZQ ; Zhang, Y (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.
英文摘要	The satellite-based estimation of dry PM2.5 mass 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 PM2.5 remote 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 (ADD), fine mode fraction (FMF), planetary boundary layer height (PBLH) and atmospheric relative humidity (RH), and thus be capable of deriving PM2.5 from instantaneous remote sensing measurements under different pollution levels. The key processes of the PM2.5 method 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 PM2.5 among 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 PM2.5 remote sensing. The improved PMRS method shows good performance on the remote sensing of hourly PM2.5 with an average error of about 38 mu g/m(3) and relative error of about 31%. The correlation coefficient between remote sensing and in situ hourly PM2.5 is about 0.67 with a linear slope of 1.03 and intercept of 11 mu g/m(3) while the means are very close (110.7 mu g/m(3) versus 118.6 mu g/m(3)). The validation study also helps find out future improvement directions and demonstrates the possible application to ground-based remote sensing data. (C) 2015 Elsevier Inc. All rights reserved.
学科主题	Environmental Sciences & Ecology; Remote Sensing; Imaging Science & Photographic Technology
类目[WOS]	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI
语种	英语
WOS记录号	WOS:000369200900005
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39157]
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.Chinese Acad Sci, State Environm Protect Key Lab Satellite Remote S, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 2.Zhejiang Normal Univ, Jinhua 321004, Peoples R China 3.Hefei Univ Technol, Hefei 230009, Peoples R China 4.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei 230031, Peoples R 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 PM2.5 near 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 PM2.5 near 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 PM2.5 near the ground: Method validation using ground-based measurements".REMOTE SENSING OF ENVIRONMENT 173(2016):59-68.