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, Luping1; Fang, Linchuan2; Tan, Wenfeng1; Wu, Changguang3; Wu, Hao4; Fang, LC (reprint author), Northwest A&F Univ, Key Lab Soil Eros & Dryland Farming Loess Plateau, Yangling 712100, Peoples R China.
SubtypeArticle
2017
Source PublicationATMOSPHERIC POLLUTION RESEARCH
ISSN1309-1042
description.correspondentemailflinc629@hotmail.com
Volume8Issue:3Pages:555-563
AbstractPrevious 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.
KeywordAerosol Optical Depth Hj-1 Hotspots Land-use Function Pm10
Subject AreaEnvironmental Sciences & Ecology
DOI10.1016/j.apr.2016.12.012
URL查看原文
Indexed BySCI
Publication PlaceBUCA
Language英语
WOS IDWOS:000408018900017
PublisherTURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP
Funding OrganizationNational Natural Science Foundation of China [41201226, 41571314, 41330852] ; National Natural Science Foundation of China [41201226, 41571314, 41330852]
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iswc.ac.cn/handle/361005/7994
Collection水保所科研产出--SCI_2017--SCI
Corresponding AuthorFang, LC (reprint author), Northwest A&F Univ, Key Lab Soil Eros & Dryland Farming Loess Plateau, Yangling 712100, Peoples R China.
Affiliation1.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
Recommended Citation
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.
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