基于TROPOMI数据的江苏省对流层NO2柱质量浓度时空分布格局和驱动因素分析
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X511

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江苏省生态环境科研成果转化与推广项目 (2022012);水体污染控制与治理国家科技重大专项课题(2018ZX07208)


Spatial-temporal distribution pattern and driving factors of tropospheric NO2 column concentration in Jiangsu Province based on TROPOMI data
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    摘要:

    为揭示NO2在江苏省的污染状况,并分析新冠疫情暴发期对江苏省NO2排放的影响,本文基于高空间分辨率的对流层光谱仪(Tropospheric Monitoring Instrument,TROPOMI)数据产品,对2018年7月至2022年6月期间江苏省对流层NO2柱质量浓度的时空分布格局和驱动力因素开展分析。结果表明,江苏省对流层NO2柱质量浓度呈现冬季>秋季>春季>夏季的季节变化特征,空间分布呈现"南高北低"的总体格局;局部莫兰指数(Moran's Index)分析结果表明江苏省只有HH(高—高)和LL(低—低)两种聚合类型,说明江苏省对流层NO2柱质量浓度仅受聚合效应影响,其中 HH基本出现在苏南地区,LL则基本出现在苏北地区,并使用地理加权回归(Geographically Weighted Regression,GWR)和最小二乘法(Ordinary Least Squares,OLS)对江苏省县级行政区对流层NO2柱质量浓度开展了人为驱动因素的分析与评价。此外,在疫情防控措施对NO2排放影响评价方面,2020年1月开始的首次新冠疫情,以及2022年3月上海开始的奥密克戎变异株传播,两次疫情期间江苏省对流层NO2柱质量浓度较前一年同期均发生了显著下降。第一次疫情对江苏省各地级市的影响差异不大,第二次疫情对苏南地区的影响显著大于苏北。

    Abstract:

    This study analyzed the troposphere of Jiangsu Province from July 2018 to June 2022 using the high spatial resolution TROPOMI data product to obtain the NO2 pollution status in Jiangsu Province, China, and analyzed the impact of COVID-19 on the NO2 concentrations in this province. Results are as follows: (1) the average tropospheric NO2 column concentration of the entire province in different seasons, from high to low, is winter, autumn, spring, and summer, and the spatial distribution presents an overall pattern of high in the south and low in the north. (2) The local Moran's index analysis results indicate that there are only two polymerization types in this province, HH (high-high) and LL (low-low). The polymerization effect only affects the tropospheric NO2 column concentration; HH mainly occurs in the southern region, and LL primarily appears in the northern part. (3) In addition, this paper attempt to evaluate the impact of the prevention and control measures on NO2 emissions, the first COVID-19 started in January 2020, and the spread of the Omicron variant started in Shanghai in March 2022. The prevention and control measures caused by the two epidemics have caused an obvious decrease in the concentration of NO2 in the troposphere compared with the same period of the previous year. The impact of the first epidemic on different cities in Jiangsu Province is not very different, and the impact of the second epidemic on southern Jiangsu is obviously greater than that in northern Jiangsu.

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朱冰川,宋挺,刘阁,李大成,王玉,徐超.基于TROPOMI数据的江苏省对流层NO2柱质量浓度时空分布格局和驱动因素分析.气象科学,2025,45(5):759-769 ZHU Bingchuan, SONG Ting, LIU Ge, LI Dacheng, WANG Yu, XU Chao. Spatial-temporal distribution pattern and driving factors of tropospheric NO2 column concentration in Jiangsu Province based on TROPOMI data. Journal of the Meteorological Sciences,2025,45(5):759-769

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  • 收稿日期:2023-01-09
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  • 在线发布日期: 2026-03-06
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