Citation
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 PM2.5 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 PM2.5, 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 PM2.5 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.
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Official URL or Download Paper: https://link.springer.com/article/10.1007/s11869-0...
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Additional Metadata
Item Type: | Article |
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Subject: | Air Pollutants |
Subject: | Urban air pollution |
Subject: | Air pollution |
Divisions: | Faculty of Engineering Institute of Tropical Forestry and Forest Products |
DOI Number: | https://doi.org/10.1007/s11869-024-01630-2 |
Publisher: | Springer |
Keywords: | Atmospheric pollutant; Cheng-Yu economic circle; Spatial heterogeneity; Multi-meteorological parameters; Potential sources identification; Synergic control |
Depositing User: | Scopus 2024 |
Date Deposited: | 20 Nov 2024 06:05 |
Last Modified: | 20 Nov 2024 06:05 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s11869-024-01630-2 |
URI: | http://psasir.upm.edu.my/id/eprint/113347 |
Statistic Details: | View Download Statistic |
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