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

doi:10.1016/j.apr.2016.12.012

ISWC OpenIR > 水保所科研产出--SCI > 2017--SCI

	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; Fang, LC (reprint author), Northwest A&F Univ, Key Lab Soil Eros & Dryland Farming Loess Plateau, Yangling 712100, Peoples R China.
文章类型	Article
	2017
发表期刊	ATMOSPHERIC POLLUTION RESEARCH
ISSN	1309-1042
通讯作者邮箱	flinc629@hotmail.com
卷号	8 期号:3 页码:555-563
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.
关键词	Aerosol Optical Depth Hj-1 Hotspots Land-use Function Pm10
学科领域	Environmental Sciences & Ecology
DOI	10.1016/j.apr.2016.12.012
URL	查看原文
收录类别	SCI
出版地	BUCA
语种	英语
WOS记录号	WOS:000408018900017
出版者	TURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP
项目资助者	National Natural Science Foundation of China [41201226, 41571314, 41330852] ; National Natural Science Foundation of China [41201226, 41571314, 41330852]
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	sbir.nwafu.edu.cn/handle/361005/7994
专题	水保所科研产出--SCI_2017--SCI
通讯作者	Fang, LC (reprint author), Northwest A&F Univ, Key Lab Soil Eros & Dryland Farming Loess Plateau, Yangling 712100, Peoples R China.
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,&Fang, LC .(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.