基于OMI数据中国大气边界层SO<sub>2</sub>空间格局

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Abstract

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.

Key words： environmental remote sensing SO₂ column value OMI

Received: 29 June 2017

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	Articles by authors
	KANG Chong-yang
	ZHAO Jun
	SONG Guo-fu
	GAO Chao
	WANG Jian-bang

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KANG Chong-yang,ZHAO Jun,SONG Guo-fu等. Study on the spatial pattern of SO₂ in China's atmospheric boundary layer based on OMI data[J]. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(2): 435-443.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2018/V38/I2/435

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