新冠疫情对我国NO2排放影响的时空分析  

Spatiotemporal analysis on the impact of COVID-19 pandemic on NO2 emission in China

作　　者：赵金环 蔡坤 李莘莘[3] 郑逢斌 刘扬[1,2,4] ZHAO Jin-huan;CAI Kun;LIShen-shen;ZHENG Feng-bin;LIU Yang(Henan Engineering Laboratory of Spatial Information Processing,Kaifeng 475004,China;School of Computer and Information Engineering,Henan University,Kaifeng 475004,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;Henan Key Laboratory of Big Data Analysis and Processing,Kaifeng 475004,China)

机构地区：[1]河南省空间信息处理工程实验室,河南开封475004 [2]河南大学计算机与信息工程学院,河南开封475004 [3]中国科学院空天信息创新研究院,北京100094 [4]河南省大数据分析与处理重点实验室,河南开封475004

出　　处：《中国环境科学》2021年第1期56-62,共7页China Environmental Science

基　　金：国家自然科学基金面上项目(41471367,1102000002);国家自然科学基金联合项目(U1804154);国家自然科学基金青年项目(41801281);河南省重点研发与推广专项(192102210096,182102310724)。

摘　　要：基于高分辨率的TROPOMI数据,分析了我国疫情爆发期的NO2空间分布情况,同时对比了疫情同比期和环比期不同地区的变化情况.分析表明,全国范围内NO2柱浓度的同比下降率和环比下降率分别为40.46%和50.09%,经济发达且人口稠密的城市群,排放量下降较为显著,其中江苏、河南、山东、浙江等NO2历史排放较高的省份受疫情影响更大.湖北省疫情期的NO2柱浓度绝对值(1.63×10^15molec/cm^2)在中东部省份属于最低位水平,同比和环比下降率也均在50%以上.相对来说,武汉、孝感等周边城市的影响远大于十堰、恩施等西部山区.地基国控站点的NO2质量浓度也显示了与卫星观测较一致的空间分布和变化趋势,证明了采用“自上而下”的遥感手段,可以对不同区域的大气污染排放强度和社会经济活动水平进行快速评估.Based on the high-resolution TROPOMI data,this paper analyzed the spatial distribution of NO2 column density during the COVID-19 outbreaking period in China,and revealed the spatial variations in the NO2 changes during the year-on-year and month-on-month COVID-19 pandemic.The analysis showed that during the pandemic,the nationwide decline in NO2 column density compared to the NO2 level during the same period in 2019(year-on-year)and during one-month before(month-on-month)the pandemic reached 40.46% and 50.09%,respectively.The economically developed and populous urban agglomerations had a significant decrease in emissions.Specifically,provinces with high historical NO2 emissions,including Jiangsu,Henan,Shandong,Zhejiang,etc.,were more affected by the epidemic.Hubei showed the lowest NO2 column density(1.63×10^15molec/cm^2)during the epidemic period among the central and eastern provinces,with the NO2 decrease compared to the NO2 level during the same period in 2019 and during one-month before the pandemic greater than 50%.Regarding different cities in Hubei,the influence of the COVID-19 pandemic on the surrounding cities,e.g.Wuhan and Xiaogan,was much greater than that on the western mountainous cities,e.g.Shiyan and Enshi.The measurements of NO2 concentration at the ground-based national air quality monitoring stations also showed a consistent spatiotemporal trend with satellite observations,indicating that the"top-down"remote sensing method can efficiently reflects the intensity of air pollution emissions and the level of socio-economic activities in different regions.

关 键 词：NO2柱浓度 TROPOMI 新冠肺炎疫情 同比 环比 

分 类 号：X703.5[环境科学与工程—环境工程]