Temporal and Spatial Distribution of SO2 in the Process of Haze in North China Based on Remote Sensing Data
International Journal of Environmental Monitoring and Analysis
Volume 7, Issue 1, February 2019, Pages: 27-33
Received: Apr. 21, 2019; Published: Jun. 15, 2019
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Authors
Chang Ruoying, College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
Zhao Jun, College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
Li Wen, College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
Jia Jingjing, College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
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Abstract
Based on the data sources of OMI data and haze data in North China, this paper studies the spatial distribution characteristics of SO2 column amounts in North China from 2015 to 2017, and compares the relationship between SO2 column amounts and haze. Corresponding analysis reveals the objective regularity of its existence. The results revealed that: 1) spatially, the value of SO2 column is distributed higher in south and lower in north. In time, the amount of SO2 column is characterized by winter > autumn > spring > summer; 2) during the haze event, SO2 increased first and then decreased. The correlation analysis between the monthly average concentration of SO2 and the frequency of haze weather, showed that there is a high correlation between the SO2 concentration and the frequency of haze occurrence, and there is consistency in the space-time distribution; 3) The haze in North China is affected by meteorological and climatic factors and human activities. Coordination within the region is an important means to control air quality. To clarify the spatial and temporal distribution of SO2 during the haze weather in North China is conductive to smooth progress of haze events control in North China.
Keywords
Atmospheric Remote Sensing, SO2, Haze, North China
To cite this article
Chang Ruoying, Zhao Jun, Li Wen, Jia Jingjing, Temporal and Spatial Distribution of SO2 in the Process of Haze in North China Based on Remote Sensing Data, International Journal of Environmental Monitoring and Analysis. Vol. 7, No. 1, 2019, pp. 27-33. doi: 10.11648/j.ijema.20190701.14
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