Atmospheric NO2 Distribution Characteristics and Influencing Factors in Yangtze River Economic Belt: Analysis of the NO2 Product of TROPOMI/Sentinel-5P

Atmosphere

Yan Lan¹  Tingbin Zhang¹  Daijun Yu¹  Bo Wen¹  Xian Liu¹  Jiao Hu¹  Guihua Yi²  Xiaobing Zhou³ 

[1] College of Earth Science, Chengdu University of Technology, Chengdu 610059, China;College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu 610059, China;Department of Geophysics, Montana Technological University, Butte, MT 59701, USA;

关键词: nitrogen dioxide (NO₂);    spatial-temporal pattern;    spatial heterogeneity;    geographical detector method;    Yangtze River Economic Belt (YREB);   

DOI  :  10.3390/atmos12091142

来源: DOAJ

【 摘 要 】

Nitrogen dioxide (NO₂) has a great influence on atmospheric chemistry. Scientifically identifying the temporal-spatial characteristics of NO₂ distribution and their driving factors will be of realistic significance to atmospheric governance in the Yangtze River Economic Belt (YREB). Based on the NO₂ data derived from the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 satellite (2017~present), spatial autocorrelation analysis, standard deviation ellipse (SDE), and geodetectors were used to systematically analyze the spatial-temporal evolution and driving factors of tropospheric NO₂ vertical column density (NO₂ VCD) in the YREB from 2019 to 2020. The results showed that the NO₂ VCD in the YREB was high in winter and autumn and low in spring and summer (temporal distribution), and high in the northeast and low in the southwest (spatial distribution), with significant spatial agglomeration. High-value agglomeration zones were collectively and stably distributed in the east region, while low-value zones were relatively dispersed. The explanatory power of each potential factor for the NO₂ VCD showed regional and seasonal variations. Surface pressure was found to be a core influencing factor. Synergistic effects of factors presented bivariate enhancement or nonlinear enhancement, and interaction between any two factors strengthened the explanatory power of a single factor for the NO₂ VCD.

【 授权许可】

Unknown