Author
Listed:
- Yan Zhuang
(State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian, Beijing 100875, China
Joint Center for Global Change Studies, Beijing 100875, China)
- Danlu Chen
(State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian, Beijing 100875, China
Joint Center for Global Change Studies, Beijing 100875, China)
- Ruiyuan Li
(State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian, Beijing 100875, China
Joint Center for Global Change Studies, Beijing 100875, China)
- Ziyue Chen
(State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian, Beijing 100875, China
Joint Center for Global Change Studies, Beijing 100875, China)
- Jun Cai
(Department of Earth System Science, Tsinghua University, Beijing 100084, China)
- Bin He
(State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian, Beijing 100875, China
Joint Center for Global Change Studies, Beijing 100875, China)
- Bingbo Gao
(National Engineering Research Center for Information Technology in Agriculture, 11 Shuguang Huayuan Middle Road, Beijing 100097, China)
- Nianliang Cheng
(College of Water Sciences, Beijing Normal University, 19 Xinjiekouwai Street, Haidian, Beijing 100875, China)
- Yueni Huang
(Department of Physics, Beijing Normal University, 19 Xinjiekouwai Street, Haidian, Beijing 100875, China)
Abstract
In recent years, particulate matter (PM) pollution has increasingly affected public life and health. Therefore, crop residue burning, as a significant source of PM pollution in China, should be effectively controlled. This study attempts to understand variations and characteristics of PM 10 and PM 2.5 concentrations and discuss correlations between the variation of PM concentrations and crop residue burning using ground observation and Moderate Resolution Imaging Spectroradiometer (MODIS) data. The results revealed that the overall PM concentration in China from 2013 to 2017 was in a downward tendency with regional variations. Correlation analysis demonstrated that the PM 10 concentration was more closely related to crop residue burning than the PM 2.5 concentration. From a spatial perspective, the strongest correlation between PM concentration and crop residue burning existed in Northeast China (NEC). From a temporal perspective, the strongest correlation usually appeared in autumn for most regions. The total amount of crop residue burning spots in autumn was relatively large, and NEC was the region with the most intense crop residue burning in China. We compared the correlation between PM concentrations and crop residue burning at inter-annual and seasonal scales, and during burning-concentrated periods. We found that correlations between PM concentrations and crop residue burning increased significantly with the narrowing temporal scales and was the strongest during burning-concentrated periods, indicating that intense crop residue burning leads to instant deterioration of PM concentrations. The methodology and findings from this study provide meaningful reference for better understanding the influence of crop residue burning on PM pollution across China.
Suggested Citation
Yan Zhuang & Danlu Chen & Ruiyuan Li & Ziyue Chen & Jun Cai & Bin He & Bingbo Gao & Nianliang Cheng & Yueni Huang, 2018.
"Understanding the Influence of Crop Residue Burning on PM 2.5 and PM 10 Concentrations in China from 2013 to 2017 Using MODIS Data,"
IJERPH, MDPI, vol. 15(7), pages 1-20, July.
Handle:
RePEc:gam:jijerp:v:15:y:2018:i:7:p:1504-:d:158328
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