Study on the spatial pattern of SO2 in China's atmospheric boundary layer based on OMI data
KANG Chong-yang1, ZHAO Jun1, SONG Guo-fu2, GAO Chao1, WANG Jian-bang1
1. College of geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China;
2. Qinghai Province Ecological Environment Remote Sensing Monitoring Center, Xining 810000, China
SO2 is an important pollutant gas that impacts on environment and climate significantly. OMI is the main remote sensing sensorfor detecting SO2 in the past 10 years.Based on the OMISO2 data, the 0.125° Kriging interpolation, which is selected among different interpolating angles of 0.125°, 0.25° and 0.4° by comparing the correlation to the ground data, the spatial distribution and the sensitive factors of SO2 in China was analyzed. The results revealed that:(1) The high SO2 columns are clustered in China; (2) In the monsoon region of China, the summer monsoon contributes significantly to the SO2 area reduction where SO2 is below the moderate concentration. However it contributes less where SO2 is above the sub-high concentration level; (3) In terms of sensitive factors, the averaged relative humidity has dramatic influence on SO2, that is higher humidity decreases SO2, and the average temperature is negative correlated to SO2 significantly in monsoon region. In non-monsoon region the winter monsoon is the main factor of the escalating of SO2 in most of areas. The winter heating emission and the inversion layer lead a high SO2 column.
康重阳, 赵军, 宋国富, 高超, 王建邦. 基于OMI数据中国大气边界层SO2空间格局[J]. 中国环境科学, 2018, 38(2): 435-443.
KANG Chong-yang, ZHAO Jun, SONG Guo-fu, GAO Chao, WANG Jian-bang. Study on the spatial pattern of SO2 in China's atmospheric boundary layer based on OMI data. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(2): 435-443.
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