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Examining the Influence of Crop Residue Burning on Local PM2.5 Concentrations in Heilongjiang Province Using Ground Observation and Remote Sensing Data

文献类型：期刊论文

作者Chen, Ziyue1,2; Chen, Danlu1,2; Zhuang, Yan1,2; Cai, Jun3; Zhao, Na4; He, Bin1,2; Gao, Bingbo5; Xu, Bing3
刊名REMOTE SENSING
出版日期2017-10-01
卷号9期号:10页码:14
ISSN号2072-4292
关键词crop residue burning PM2.5 concentrations remote sensing MOD14A1
DOI10.3390/rs9100971
通讯作者Xu, Bing(bingxu@tsinghua.edu.cn)
英文摘要Although a many studies concerning crop residue burning have been conducted, the influence of crop residue burning on local PM2.5 concentrations remains unclear. The number of crop residue burning spots was the highest in Heilongjiang province and we extracted crop residue burning spots for this region using MOD14A1 (Thermal Anomalies & Fire Daily L3 Global 1 km) data and national land cover data. By analyzing the temporal variation of crop residue burning and PM2.5 concentrations in Heilongjiang province, we found that the total number of crop residue burning spots was not correlated with the variations of PM2.5 concentrations at a provincial (regional) scale. However, crop residue burning exerted notable influence on the variations of PM2.5 concentrations at a local scale. We experimented with a set of buffer zone radiuses to examine the influencing area of crop residue burning. The results suggest that the valid influencing area of crop residue burning was between 50 and 80 km. The mean PM2.5 concentration measured at stations close to crop residue burning spots was more than 60 mu g/m(3) higher than that measured at stations not close to crop residue burning spots. However, no consistent, significant correlation existed between the existence of crop residue burning spots and local PM2.5 concentrations, indicating that local PM2.5 concentrations were influenced by a diversity of factors and not solely controlled by crop residue burning. This research also provides suggestions for better understanding the role of crop residue burning in local and regional air pollution.
WOS关键词CHEMICAL-CHARACTERIZATION ; CHINA ; PARTICLES ; IMPACT ; MODIS
资助项目National Natural Science Foundation of China[210100066] ; National Key Research and Development Program of China[2016YFA0600104] ; Fundamental Research Funds for the Central Universities, Ministry of Environmental Protection[201409005] ; Beijing Training Support Project for excellent scholars[2015000020124G059]
WOS研究方向Remote Sensing
语种英语
出版者MDPI AG
WOS记录号WOS:000414650600001
资助机构National Natural Science Foundation of China ; National Key Research and Development Program of China ; Fundamental Research Funds for the Central Universities, Ministry of Environmental Protection ; Beijing Training Support Project for excellent scholars
源URL[http://ir.igsnrr.ac.cn/handle/311030/61017]  
专题中国科学院地理科学与资源研究所
通讯作者Xu, Bing
作者单位1.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, 19 Xinjiekouwai St, Beijing 100875, Peoples R China
2.Joint Ctr Global Change Studies, Beijing 100875, Peoples R China
3.Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
5.Natl Engn Res Ctr Informat Technol Agr, 11 Shuguang Huayuan Middle Rd, Beijing 100097, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Ziyue,Chen, Danlu,Zhuang, Yan,et al. Examining the Influence of Crop Residue Burning on Local PM2.5 Concentrations in Heilongjiang Province Using Ground Observation and Remote Sensing Data[J]. REMOTE SENSING,2017,9(10):14.
APA Chen, Ziyue.,Chen, Danlu.,Zhuang, Yan.,Cai, Jun.,Zhao, Na.,...&Xu, Bing.(2017).Examining the Influence of Crop Residue Burning on Local PM2.5 Concentrations in Heilongjiang Province Using Ground Observation and Remote Sensing Data.REMOTE SENSING,9(10),14.
MLA Chen, Ziyue,et al."Examining the Influence of Crop Residue Burning on Local PM2.5 Concentrations in Heilongjiang Province Using Ground Observation and Remote Sensing Data".REMOTE SENSING 9.10(2017):14.

入库方式： OAI收割

来源：地理科学与资源研究所

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