Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle

Ning Qi, Xuemei Tan, Tengfei Wu, Qing Tang, Fengshou Ning, Debin Jiang, Tengtun Xu, Hong Wu, Lingxiao Ren and Wei Deng
Additional contact information
Ning Qi: School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
Xuemei Tan: School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
Tengfei Wu: Institute of Agricultural Resources and Environment, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
Qing Tang: Chongqing Fushide Environmental Affairs Co., Ltd., Chongqing 401147, China
Fengshou Ning: School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
Debin Jiang: School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
Tengtun Xu: School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
Hong Wu: School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
Lingxiao Ren: Nanjing Institute of Technology, School of Environmental Engineering, Nanjing 211167, China
Wei Deng: Center of Yangtze River Ecological Protection and High Quality Development, Chongqing Academy of Environmental Science, Chongqing 401147, China

IJERPH, 2022, vol. 19, issue 7, 1-16

Abstract: In order to study the temporal and spatial distribution characteristics of atmospheric pollutants in cities (districts and counties) in the Chengdu–Chongqing Twin-city Economic Circle (CCEC) and to provide a theoretical basis for atmospheric pollution prevention and control, this paper combined Ambient Air Quality Standards (AAQS) and WHO Global Air Quality Guidelines (GAQG) to evaluate atmospheric pollution and used spatial correlation to determine key pollution areas. The results showed that the distribution of atmospheric pollutants in CCEC presents a certain law, which was consistent with the air pollution transmission channels. Except for particulate matter with an aerodynamic diameter equal to or less than 2.5 μm (PM 2.5 ) and ozone (O 3 ), other pollutants reached Grade II of AAQS in 2020, among which particulate matter with an aerodynamic diameter equal to or less than 10 μm (PM 10 ), PM 2.5 , sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ) and carbon monoxide (CO) have improved. Compared with the air quality guidelines given in the GAQG, PM 10 , PM 2.5 , NO 2 and O 3 have certain effects on human health. The spatial aggregation of PM 10 and PM 2.5 decreased year by year, while the spatial aggregation of O 3 increased with the change in time, and the distribution of NO 2 pollution had no obvious aggregation. Comprehensive analysis showed that the pollution problems of particulate matter, NO 2 and O 3 in CCEC need to be further controlled.

Keywords: spatial autocorrelation; Moran’s I; air pollution transmission channels; ambient air quality standards; WHO Global Air Quality Guidelines (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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