Modeling spatiotemporal distribution of PM10 using HJ-1 CCD data in Luoyang, China

doi:10.1016/j.apr.2016.12.012

	Modeling spatiotemporal distribution of PM10 using HJ-1 CCD data in Luoyang, China
	Ye, Luping 1; Fang, Linchuan 2; Tan, Wenfeng 1; Wu, Changguang 3; Wu, Hao 4
刊名	ATMOSPHERIC POLLUTION RESEARCH
	2017-05-01
卷号	8 期号:3 页码:555-563
关键词	Aerosol optical depth HJ-1 Hotspots Land-use function PM10
ISSN号	1309-1042
DOI	10.1016/j.apr.2016.12.012
通讯作者	Fang, Linchuan(flinc629@hotmail.com)
英文摘要	Previous studies have proved that the statistical models between satellite-retrieved aerosol optical depth (AOD) and ground-level PM10 provide a feasible and effective way to obtain the extensive and continuous spatial distribution of ground-level PM10. The two-year annual mean PM10 was 119.9 +/- 66.5 mu g/ m(3) from 2014 to 2015, which significantly exceeded the annual WHO IT-1 standard for PM10 (70 mg/ m3), and the mean AOD was 0.56 +/- 0.21 in Luoyang. Statistical models were proposed using a combination of HJ-1 (Environment Satellite 1) CCD (charge-coupled device) AOD and PM10 acquired at monitoring sites. The fitting analysis of PM10 and AOD shows that PM10 agrees well with AOD, and the linear regression model is the most accurate one. By the land-use function analysis of PM10 hotspots using Google Earth, it is apparent that the prevalence of industrial or bare soil areas is the key factor in determining anthropogenic pollutant emissions. In view of the small HJ-1 data available for analyzing and the limitation of dark target algorithm in the season with sparse vegetation cover, further investigation should be conducted for a more accurate understanding of the PM10 monitoring. Despite the limitations of this work, the results prove the feasibility of retrieving remote sensing images for monitoring regional aerosol pollution, together with ground-level data. The combination of satellite images, ground monitoring and Google earth can help to better understand the spatial distributions and sources of PM on a regional scale. (C) 2016 Turkish National Committee for Air Pollution Research and Control. Production and hosting by Elsevier B.V. All rights reserved.
资助项目	National Natural Science Foundation of China[41201226] ; National Natural Science Foundation of China[41571314] ; National Natural Science Foundation of China[41330852]
WOS关键词	AEROSOL OPTICAL DEPTH ; LAND-USE REGRESSION ; PM2.5 CONCENTRATIONS ; EMPIRICAL RELATIONSHIP ; SATELLITE DATA ; AIR-QUALITY ; NORTH CHINA ; MODIS
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	TURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP
WOS记录号	WOS:000408018900017
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/61590]
专题	中国科学院地理科学与资源研究所
通讯作者	Fang, Linchuan
作者单位	1.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China 2.Northwest A&F Univ, Key Lab Soil Eros & Dryland Farming Loess Plateau, Yangling 712100, Peoples R China 3.Huazhong Agr Univ, Coll Hort & Forestry Sci, Wuhan 430070, Hubei, Peoples R China 4.Wuhan Univ Technol, Sch Resources & Environm Engn, Wuhan 430070, Hubei, Peoples R China
推荐引用方式 GB/T 7714	Ye, Luping,Fang, Linchuan,Tan, Wenfeng,et al. Modeling spatiotemporal distribution of PM10 using HJ-1 CCD data in Luoyang, China[J]. ATMOSPHERIC POLLUTION RESEARCH,2017,8(3):555-563.
APA	Ye, Luping,Fang, Linchuan,Tan, Wenfeng,Wu, Changguang,&Wu, Hao.(2017).Modeling spatiotemporal distribution of PM10 using HJ-1 CCD data in Luoyang, China.ATMOSPHERIC POLLUTION RESEARCH,8(3),555-563.
MLA	Ye, Luping,et al."Modeling spatiotemporal distribution of PM10 using HJ-1 CCD data in Luoyang, China".ATMOSPHERIC POLLUTION RESEARCH 8.3(2017):555-563.