Spatiotemporal Variation Characteristics of NO2 Tropsopheric Column Concentration over Chinese Central Region Based on OMI Data During 2007~2014

Abstract

Abstract:

The gridding distribution of OMI (Ozone Monitoring Instrument) NO2 tropospheric column concentration is obtained by using the OMI NO2 Level2 products through an area weight factor, and the spatial and temporal variation of NO2 column concentration is analyzed from 2007 to 2014 over three typical areas (the industry area, the area along Yellow River, the farming area) in the central region of China. The results show that the minimum annual average value of NO2 tropospheric column concentration of all areas occurs in 2009, the maximum occurs in 2013. And compared with 2013, the value in 2014 decreases more than 25%. At the same time, the variation characteristics of NO2 column concentration in the typical time periods (Chinese New Year period (almost in February) and the biomass burning period(in June)) are analyzed. The results show that the column concentrations over three areas all have a decrease during February, and during June the increase percent in farming area is about 80%. The relative variance ratio of NO2 column concentration shows the variation characteristics of NO2 column during the recent 8 years, which indicates that the two factories areas have a over 15% decrease from mid of 2008 to mid of 2009 when compared with the same period in the former year, but the farming area doesn’t have such changes. However, all of the areas have an obvious decrease in 2014 with a ratio over 20%.

Key words: Ozone Monitoring Instrument, NO2 tropospheric column concentration, spatiotemporal variations

CLC Number:

X511

ZHANG Jie, LI Ang, XIE Pin-Hua, WU Feng-Cheng, XU Jin, SHEN Jin-Chao, RENG Zheng, MOU Fu-Sheng, HU Zhao-Kun. Spatiotemporal Variation Characteristics of NO2 Tropsopheric Column Concentration over Chinese Central Region Based on OMI Data During 2007~2014[J]. Journal of Atmospheric and Environmental Optics, 2016, 11(4): 288-298.

References

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