Long-Term Air Pollution Characteristics and Multi-scale Meteorological Factor Variability Analysis of Mega-mountain Cities in the Chengdu-Chongqing Economic Circle

Xiaoju Li; Luqman Chuah Abdullah; Shafreeza Sobri; Mohamad Syazarudin Md Said; Siti Aslina Hussain; Tan Poh Aun; Jinzhao Hu

doi:10.1007/s11270-023-06279-8

Long-Term Air Pollution Characteristics and Multi-scale Meteorological Factor Variability Analysis of Mega-mountain Cities in the Chengdu-Chongqing Economic Circle

Water Air Soil Pollut. 2023;234(5):328. doi: 10.1007/s11270-023-06279-8. Epub 2023 May 12.

Authors

Xiaoju Li^{1

2}, Luqman Chuah Abdullah¹, Shafreeza Sobri¹, Mohamad Syazarudin Md Said¹, Siti Aslina Hussain¹, Tan Poh Aun³, Jinzhao Hu²

Affiliations

¹ Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor Malaysia.
² Xichang University, No. 1 Xuefu Road, Anning Town, Xichang City, 615000 Sichuan Province China.
³ SOx NOx Asia Sdn Bhd, UEP Subang Jaya, 47620 Selangor Darul Ehsan Malaysia.

Abstract

Currently, air quality has become central to global environmental policymaking. As a typical mountain megacity in the Cheng-Yu region, the air pollution in Chongqing is unique and sensitive. This study aims to comprehensively investigate the long-term annual, seasonal, and monthly variation characteristics of six major pollutants and seven meteorological parameters. The emission distribution of major pollutants is also discussed. The relationship between pollutants and the multi-scale meteorological conditions was explored. The results indicate that particulate matter (PM), SO₂ and NO₂ showed a "U-shaped" variation, while O₃ showed an "inverted U-shaped" seasonal variation. Industrial emissions accounted for 81.84%, 58% and 80.10% of the total SO₂, NOx and dust pollution emissions, respectively. The correlation between PM2.5 and PM10 was strong (R = 0.98). In addition, PM only showed a significant negative correlation with O₃. On the contrary, PM showed a significant positive correlation with other gaseous pollutants (SO₂, NO₂, CO). O₃ is only negatively correlated with relative humidity and atmospheric pressure. These findings provide an accurate and effective countermeasure for the coordinated management of air pollution in Cheng-Yu region and the formulation of the regional carbon peaking roadmap. Furthermore, it can improve the prediction accuracy of air pollution under multi-scale meteorological factors, promote effective emission reduction paths and policies in the region, and provide references for related epidemiological research.

Supplementary information: The online version contains supplementary material available at 10.1007/s11270-023-06279-8.

Keywords: Air pollution; Carbon neutral; Chengdu-Chongqing Economic Circle; Correlation analysis; Distribution characteristics; Multi-scale meteorological variability.

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