Atmospheric NO2 Distribution Characteristics and Influencing Factors in Yangtze River Economic Belt: Analysis of the NO2 Product of TROPOMI/Sentinel-5P
Open Access
- 5 September 2021
- journal article
- research article
- Published by MDPI AG in Atmosphere
- Vol. 12 (9), 1142
- https://doi.org/10.3390/atmos12091142
Abstract
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.Funding Information
- National Natural Science Foundation of China (41801099)
- the Second Tibetan Plateau Scientific Expedition and Research Programs (2019QZKK0307, 2019QZKK0301, 2021JDR0170)
This publication has 44 references indexed in Scilit:
- National Spatiotemporal Exposure Surface for NO2: Monthly Scaling of a Satellite-Derived Land-Use Regression, 2000–2010Environmental Science & Technology, 2015
- Identification of surface NO x emission sources on a regional scale using OMI NO 2Atmospheric Environment, 2015
- TROPOMI on the ESA Sentinel-5 Precursor: A GMES mission for global observations of the atmospheric composition for climate, air quality and ozone layer applicationsRemote Sensing of Environment, 2012
- Changes in OMI tropospheric NO2 columns over Europe from 2004 to 2009 and the influence of meteorological variabilityAtmospheric Environment, 2012
- Megacity Emissions and Lifetimes of Nitrogen Oxides Probed from SpaceScience, 2011
- Geographical Detector-Based Risk Assessment of the Under-Five Mortality in the 2008 Wenchuan Earthquake, ChinaPLOS ONE, 2011
- Geographical Detectors‐Based Health Risk Assessment and its Application in the Neural Tube Defects Study of the Heshun Region, ChinaInternational Journal of Geographical Information Science, 2010
- Aircraft measurements of O3, NOx, CO, VOCs, and SO2 in the Yangtze River Delta regionAtmospheric Environment, 2009
- Weekly cycle of NO2 by GOME measurements: a signature of anthropogenic sourcesAtmospheric Chemistry and Physics, 2003
- Local Spatial Autocorrelation Statistics: Distributional Issues and an ApplicationGeographical Analysis, 1995