Spatial variation, multi-meteorological factors and potential source analysis of air pollutants in Chengdu megacity of Chengdu-Chongqing economic circle

Air Quality, Atmosphere & Health Pub Date : 2024-08-24 DOI:10.1007/s11869-024-01630-2

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

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Abstract

Affected by unique topography, meteorological factors and high emission sources, it is crucial to have an in-depth understanding of the air pollution characteristics of Chengdu megacity. This research investigated the spatial evolution features of the six criteria pollutants in Chengdu from 2014 to 2020. The relationship between air pollutants and multi-meteorological factors also will be systematically elucidated. Together with the backward trajectory model, the potential source areas of PM_2.5 and O₃ were further simulated. The results revealed that there is spatial heterogeneity in the distribution of air pollution in Chengdu. Besides, the concentrations of PM_2.5, PM₁₀, SO₂, NO₂ and CO are only positively correlated with pressure. While, O₃ only shows a negative correlation with relative humidity and pressure. Furthermore, regional transport is also one of the important contributing sources of PM_2.5 and O₃. This study can accurately grasp the status of regional air pollution, and provide accurate and feasible solutions for the collaborative reduction of air pollution in the Cheng-Yu area. Furthermore, it provides data references for exploring efficient air pollution control measures in complex terrain, and also accumulates some experience for the megacities of similar situations in the world.

Graphical Abstract

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成渝经济圈成都特大城市大气污染物的空间变化、多气象因子及潜在来源分析

受独特的地形地貌、气象因素和高排放源的影响，深入了解成都特大城市的大气污染特征至关重要。本研究探讨了成都市 2014 年至 2020 年六项标准污染物的空间演变特征。同时，还将系统阐述大气污染物与多气象因子之间的关系。结合后向轨迹模型，进一步模拟了 PM2.5 和 O3 的潜在源区。结果显示，成都的空气污染分布存在空间异质性。此外，PM2.5、PM10、二氧化硫、二氧化氮和一氧化碳的浓度仅与气压呈正相关。而 O3 仅与相对湿度和气压呈负相关。此外，区域传输也是 PM2.5 和 O3 的重要贡献源之一。本研究可准确把握区域大气污染现状，为成渝地区大气污染协同减排提供准确可行的解决方案。此外，它还为探索复杂地形下高效的大气污染控制措施提供了数据参考，也为世界上类似情况的特大城市积累了一些经验。

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Air Quality, Atmosphere & Health

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