Modeling spatiotemporal distribution of PM10 using HJ-1 CCD data in Luoyang, China
文献类型：期刊论文
| 作者 | Fang, Linchuan3; Ye, Luping2; Fang, LC (reprint author), Northwest A&F Univ, Key Lab Soil Eros & Dryland Farming Loess Plateau, Yangling 712100, Peoples R China.; Wu, Hao4; Wu, Changguang1; Tan, Wenfeng2 |
| 刊名 | ATMOSPHERIC POLLUTION RESEARCH
 |
| 出版日期 | 2017 |
| 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 |
| 文献子类 | Article |
| 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. |
| 学科主题 | Environmental Sciences & Ecology |
| URL标识 | 查看原文 |
| 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 |
| 资助机构 | National Natural Science Foundation of China [41201226, 41571314, 41330852] ; National Natural Science Foundation of China [41201226, 41571314, 41330852] ; National Natural Science Foundation of China [41201226, 41571314, 41330852] ; National Natural Science Foundation of China [41201226, 41571314, 41330852] |
| 源URL | [http://ir.iswc.ac.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.Huazhong Agr Univ, Coll Hort & Forestry Sci, Wuhan 430070, Hubei, Peoples R China 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China 3.Northwest A&F Univ, Key Lab Soil Eros & Dryland Farming Loess Plateau, Yangling 712100, 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 | Fang, Linchuan,Ye, Luping,Fang, LC ,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 | Fang, Linchuan,Ye, Luping,Fang, LC ,Wu, Hao,Wu, Changguang,&Tan, Wenfeng.(2017).Modeling spatiotemporal distribution of PM10 using HJ-1 CCD data in Luoyang, China.ATMOSPHERIC POLLUTION RESEARCH,8(3),555-563. |
| MLA | Fang, Linchuan,et al."Modeling spatiotemporal distribution of PM10 using HJ-1 CCD data in Luoyang, China".ATMOSPHERIC POLLUTION RESEARCH 8.3(2017):555-563. |
入库方式： OAI收割
来源：水土保持研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。