Literature DB >> 28732335

Characteristics and source apportionment of PM2.5 during persistent extreme haze events in Chengdu, southwest China.

Lulu Li1, Qinwen Tan2, Yuanhang Zhang3, Miao Feng2, Yu Qu4, Junling An4, Xingang Liu5.   

Abstract

Based on detailed data from Chengdu Plain (CP) from 6 January to 16 January, two typical haze episodes were analyzed to clarify the haze formation mechanism in winter. Weather conditions, chemical compositions, secondary pollutant transformation, optical properties of aerosols, the potential source contribution function (PSCF) and source apportionment were studied. The planetary boundary layer (PBL) height decreased distinctly during the haze episodes and restrained air pollutant vertical dispersion. As the haze worsened, the value of PBL × PM2.5 increased notably. The [NO3-]/[SO42-] ratio was 0.61, 0.76 and 0.88 during a non-haze period, episode 1 and episode 2, respectively, indicating that the mobile source of the air pollution is increasingly predominant in Chengdu. Water vapor also played a vital role in the formation of haze by accelerating the chemical transformation of secondary pollutants, leading to the hygroscopic growth of aerosols. The PSCF and backward trajectories of the air masses indicated that the pollution mainly came from the south. The secondary inorganic aerosols, vehicle emissions, coal combustion, biomass burning, industry, and dust contributed 34.1%, 24.1%, 12.7%, 12.3%, 7.6%, and 7.2% to PM2.5 masses in episode 1 and 28.9%, 23.1%, 9.4%, 9.5%, 20.3% and 7.5% in episode 2.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chengdu; Hygroscopic growth; Secondary inorganic aerosol; Source apportionment

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Year:  2017        PMID: 28732335     DOI: 10.1016/j.envpol.2017.07.029

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  6 in total

1.  Characterization of aerosol particles during the most polluted season (winter) in urban Chengdu (China) by single-particle analysis.

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Journal:  Environ Sci Pollut Res Int       Date:  2019-04-27       Impact factor: 4.223

2.  Source Apportionment of Fine Particulate Matter during the Day and Night in Lanzhou, NW China.

Authors:  Mei Zhang; Jia Jia; Bo Wang; Weihong Zhang; Chenming Gu; Xiaochen Zhang; Yuanhao Zhao
Journal:  Int J Environ Res Public Health       Date:  2022-06-09       Impact factor: 4.614

3.  Assessment of health benefit of PM2.5 reduction during COVID-19 lockdown in China and separating contributions from anthropogenic emissions and meteorology.

Authors:  Heming Bai; Wenkang Gao; Yuanpeng Zhang; Li Wang
Journal:  J Environ Sci (China)       Date:  2021-01-22       Impact factor: 5.565

4.  Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak.

Authors:  Pengfei Wang; Kaiyu Chen; Shengqiang Zhu; Peng Wang; Hongliang Zhang
Journal:  Resour Conserv Recycl       Date:  2020-03-23       Impact factor: 10.204

5.  Temporal and Spatial Features of the Correlation between PM2.5 and O3 Concentrations in China.

Authors:  Jiajia Chen; Huanfeng Shen; Tongwen Li; Xiaolin Peng; Hairong Cheng; And Chenyan Ma
Journal:  Int J Environ Res Public Health       Date:  2019-11-30       Impact factor: 3.390

6.  Characteristics of fine particulate matter (PM2.5) at Jinsha Site Museum, Chengdu, China.

Authors:  Jialin Deng; Luman Jiang; Wenwen Miao; Junke Zhang; Guiming Dong; Ke Liu; Juncheng Chen; Tong Peng; Yao Fu; Yunpei Zhou; Xue Huang; Mengqian Hu; Fang Wang; Lin Xiao
Journal:  Environ Sci Pollut Res Int       Date:  2021-08-04       Impact factor: 4.223

  6 in total

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