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Article

The Urban–Rural Heterogeneity of Air Pollution in 35 Metropolitan Regions across China

1
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
2
Department of Atmospheric and Oceanic Science and Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
3
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(14), 2320; https://doi.org/10.3390/rs12142320
Submission received: 19 June 2020 / Revised: 13 July 2020 / Accepted: 17 July 2020 / Published: 19 July 2020
(This article belongs to the Section Atmospheric Remote Sensing)

Abstract

Urbanization and air pollution are major anthropogenic impacts on Earth’s environment, weather, and climate. Each has been studied extensively, but their interactions have not. Urbanization leads to a dramatic variation in the spatial distribution of air pollution (fine particles) by altering surface properties and boundary-layer micrometeorology, but it remains unclear, especially between the centers and suburbs of metropolitan regions. Here, we investigated the spatial variation, or inhomogeneity, of air quality in urban and rural areas of 35 major metropolitan regions across China using four different long-term observational datasets from both ground-based and space-borne observations during the period 2001–2015. In general, air pollution in summer in urban areas is more serious than in rural areas. However, it is more homogeneously polluted, and also more severely polluted in winter than that in summer. Four factors are found to play roles in the spatial inhomogeneity of air pollution between urban and rural areas and their seasonal differences: (1) the urban–rural difference in emissions in summer is slightly larger than in winter; (2) urban structures have a more obvious association with the spatial distribution of aerosols in summer; (3) the wind speed, topography, and different reductions in the planetary boundary layer height from clean to polluted conditions have different effects on the density of pollutants in different seasons; and (4) relative humidity can play an important role in affecting the spatial inhomogeneity of air pollution despite the large uncertainties.
Keywords: air pollution; aerosol; urbanization; spatial inhomogeneity; metropolitan regions in China air pollution; aerosol; urbanization; spatial inhomogeneity; metropolitan regions in China
Graphical Abstract

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MDPI and ACS Style

Han, W.; Li, Z.; Guo, J.; Su, T.; Chen, T.; Wei, J.; Cribb, M. The Urban–Rural Heterogeneity of Air Pollution in 35 Metropolitan Regions across China. Remote Sens. 2020, 12, 2320. https://doi.org/10.3390/rs12142320

AMA Style

Han W, Li Z, Guo J, Su T, Chen T, Wei J, Cribb M. The Urban–Rural Heterogeneity of Air Pollution in 35 Metropolitan Regions across China. Remote Sensing. 2020; 12(14):2320. https://doi.org/10.3390/rs12142320

Chicago/Turabian Style

Han, Wenchao, Zhanqing Li, Jianping Guo, Tianning Su, Tianmeng Chen, Jing Wei, and Maureen Cribb. 2020. "The Urban–Rural Heterogeneity of Air Pollution in 35 Metropolitan Regions across China" Remote Sensing 12, no. 14: 2320. https://doi.org/10.3390/rs12142320

APA Style

Han, W., Li, Z., Guo, J., Su, T., Chen, T., Wei, J., & Cribb, M. (2020). The Urban–Rural Heterogeneity of Air Pollution in 35 Metropolitan Regions across China. Remote Sensing, 12(14), 2320. https://doi.org/10.3390/rs12142320

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