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基于OMI数据的贵州省对流层NO2浓度时空变化分析
作者姓名:李雪  彭波  刘芸  黄林峰  卜英竹
作者单位:贵州省生态气象和卫星遥感中心,贵州贵阳,550002;贵州省安顺市气象局,贵州安顺,561000
摘    要:利用OMI卫星遥感数据提供的NO2浓度产品及气象站点数据,分析了2005-2017年贵州省对流层NO2柱浓度时空分布特征及其影响因素。结果表明:①贵州省NO2柱浓度年均值较小,说明贵州省空气质量整体比较好,年变化为NO2柱浓度先升高再降低的趋势,冬季最高、夏季最低,而月变化呈内凹型分布,一年中最大值大多出现在1月,7月出现最低值的次数最多;②空间分布呈西高东低、北高南低的特点;③在9个地市州中,六盘水市的NO2柱浓度年均值最大,贵阳市位于第二,浓度最低的是黔东南州。④降水和温度对NO2柱浓度都具有一定的负影响。

关 键 词:OMI  NO2柱浓度  时空变化

Spatio-temporal variation of NO2 concentration in Guizhou Province based on OMI satellite data
Institution:(Guizhou Ecological Meteorology & Satellite Remote Sensing Center,Guiyang 550002,China;Anshun Meteorological Bureau of Guizhou Province,Anshun 561000,China)
Abstract:NO 2 concentration products and meteorological station data provided by OMI satellite remote sensing data were used to analyze the spatial and temporal distribution characteristics of NO2 column concentration in the troposphere and its influencing factors from 2005 to 2017 in Guizhou province. The results show that:①In the year 2005-2017,the annual NO 2 column concentration in Guizhou Province was small,indicating that the overall air quality in Guizhou Province is better. The overall annual variation shows the trend of increase first and then decrease. Seasonal changes are expressed as: highest in winter and lowest in summer. The monthly variation shows an inner concave distribution,the maximum value of most of the year occurs in January,and the lowest number of times occurs in July.②The spatial distribution is characterized by high in the west and north ,low in the east and south.③Among the nine cities,Liupanshui had the highest concentration of NO 2 column,Guiyang is the second,while Qiandongnan had the lowest. In addition,the annual change of Yunnan is the most gradual,while Chongqing has the largest change.④The analysis found that precipitation and temperature have a certain impact on the concentration of NO 2 column.
Keywords:OMI  NO 2 column concentration  spatio-temporal variation
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