Literature DB >> 31734594

Investigating the characteristics and source analyses of PM2.5 seasonal variations in Chengdu, Southwest China.

Liuwei Kong1, Qinwen Tan2, Miao Feng2, Yu Qu3, Junling An3, Xingang Liu4, Nianliang Cheng5, Yijun Deng6, Ruixiao Zhai6, Zheng Wang6.   

Abstract

In 2015, comprehensive observations were carried out in Chengdu, Sichuan Province, China, to elucidate the seasonal variation characteristics of the concentrations, chemical compositions, and the sources of PM2.5 pollution. The meteorological parameters, gaseous pollutants and chemical compositions of PM2.5 were measured. The annual average concentration of PM2.5 in Chengdu was 67.44 ± 48.78 μg/m3. The highest seasonal PM2.5 mass concentration occurred in winter with an average of 103.04 ± 66.76 μg/m3, followed by spring, autumn, and summer, and the wind speed had an important impact on the diffusion of PM2.5. The seasonal variation characteristics of chemical components in PM2.5 were analysed. The contribution and chemical conversion ability of secondary aerosols increased with increasing of PM2.5 concentration. Source appointment of positive matrix factorization (PMF) shows that the main sources of PM2.5 were secondary aerosols, coal combustion, biomass burning, vehicle emissions, dust and industrial sources, which have more obvious seasonal differences than other sources, and secondary aerosols and coal combustion were the major sources. Conditional probability function (CPF) analysis showed that the local sources of high PM2.5 concentrations were mainly from the eastern and southeastern areas of Chengdu. Potential source contribution function (PSCF), concentration weighted trajectory (CWT) and backward trajectory cluster analyses indicated that the southern, southeast and eastern parts of the Sichuan Basin were the most likely potential sources of PM2.5, and the unique geographical and topographical factors in Chengdu play important roles in the transport and diffusion of pollutants in this region.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chemical compositions; PM(2.5); Regional transport; Seasonal variation; Sichuan basin; Source appointment

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Year:  2019        PMID: 31734594     DOI: 10.1016/j.chemosphere.2019.125267

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  2 in total

1.  Semen quality and windows of susceptibility: A case study during COVID-19 outbreak in China.

Authors:  Tingting Yang; Li Deng; Boyu Sun; Shifu Zhang; Yang Xian; Xiao Xiao; Yu Zhan; Kehui Xu; Johnathan J Buonocore; Ya Tang; Fuping Li; Yang Qiu
Journal:  Environ Res       Date:  2021-04-02       Impact factor: 8.431

2.  PM2.5 Pollution Strongly Predicted COVID-19 Incidence in Four High-Polluted Urbanized Italian Cities during the Pre-Lockdown and Lockdown Periods.

Authors:  Ourania S Kotsiou; Vaios S Kotsios; Ioannis Lampropoulos; Thomas Zidros; Sotirios G Zarogiannis; Konstantinos I Gourgoulianis
Journal:  Int J Environ Res Public Health       Date:  2021-05-11       Impact factor: 3.390

  2 in total

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