大气与环境光学学报, 2016, 11 (4): 288, 网络出版: 2020-11-10   

基于OMI数据的中国中部平原地区NO2对流层柱浓度2007~2014年时空变化特征分析

Spatiotemporal Variation Characteristics of NO2 Tropsopheric Column Concentration over Chinese Central Region Based on OMI Data During 2007~2014
作者单位
1 中国科学院安徽光学精密机械研究所 中国科学院环境光学与技术重点实验室, 安徽 合肥 230031
2 中国科技大学环境与光电技术学院,安徽 合肥 230026
3 河南省环境监测中心站, 河南 郑州 450004
摘要
利用OMI(Ozone Monitoring Instrument) NO2 2级数据产品通过采用面积权重得到OMI NO2对流层柱浓度网格化分布, 研究了中部地区3个代表性区域(工业集中区域,黄河流域,以及农业区域)2007~2014年NO2柱浓度时空分布特征。结果表明, NO2对流层柱浓度年均值在2009年最小, 2013年最大, 2014年相对2013年降低大于25%。同时分析了典型时间段(中国农历新年2月以及秸 秆焚烧6月)内3个区域NO2柱浓度变化特征, 2月期间3个区域柱浓度都有不同程度的下降,6月农业区NO2柱浓度上升约80%。NO2柱浓度相 对变化率进一步反映了3个区域NO2柱浓度近8年内的变化特征, 2008年年中至2009年年中工业区域以及沿河流域NO2柱浓度相对往年 同期都有高于15%的下降而农业区没有体现,但2014年以后3个区域NO2柱浓度都出现明显下降,下降比例都在20%以上。
Abstract
The gridding distribution of Ozone Monitoring Instrument (OMI) 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 an 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%.

张杰, 李昂, 谢品华, 吴丰成, 徐晋, 申进朝, 戎征, 牟福生, 胡肇焜. 基于OMI数据的中国中部平原地区NO2对流层柱浓度2007~2014年时空变化特征分析[J]. 大气与环境光学学报, 2016, 11(4): 288. Zhang Jie, Li Ang, Xie Pinhua, Wu Fengcheng, Xu Jin, Shen Jinchao, Rong Zheng, Mou Fusheng, Hu Zhaokun. 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.

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