| 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 |
| DOI： |
| 投稿时间：2019-01-22修订日期：2019-04-03 |
| 基金项目: |
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| Spatio-temporal Variation of NO2 Concentration in Guizhou Province Based on OMI Satellite Data |
| Li Xue,Peng Bo,Liu Yun,HUANG Linfeng,Pu Yingzhu |
| (Guizhou Ecological Meteorology and Satellite Remote Sensing Center;Anshun Meteorological Bureau of Guizhou Province) |
| Abstract: |
| Analyzed the temporal and spatial distribution characteristics of tropospheric NO2 column concentration in Guizhou Province from 2005 to 2017. Then we analyzed the influencing factors. The results show that: (1)In the year 2005~2017, the annual NO2 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. (2) The spatial distribution is characterized by high in the west and north , low in the east and south. (3) Among the nine cities, Liupanshui had the highest concentration of NO2 column, Guiyang is the second, while the Southestern of Guizhou had the lowest. In addition, the annual change of Yunnan is the most gradual, while Chongqing has the largest change. (4) The analysis found that precipitation and temperature have a certain impact on the concentration of NO2 column. |
| Key words: OMI; NO2 column concentration; time and space change |
