Literature DB >> 33743423

Characteristics of chemical profile, sources and PAH toxicity of PM2.5 in beijing in autumn-winter transit season with regard to domestic heating, pollution control measures and meteorology.

Fengxia Li1, Jianwei Gu2, Jinyuan Xin3, Juergen Schnelle-Kreis4, Yuesi Wang5, Zirui Liu5, Rongrong Shen5, Bernhard Michalke6, Guelcin Abbaszade1, Ralf Zimmermann1.   

Abstract

Several air pollution episodes occurred in Beijing before and after the 2014 Asia-Pacific Economic Cooperation (APEC) summit, during which air-pollution control measures were implemented. Within this autumn-winter transit season, domestic heating started. Such interesting period merits comprehensive chemical characterization, particularly the organic species, to look into the influence of additional heating sources and the control measures on air pollution. Therefore, this study performed daily and 6h time resolved PM2.5 sampling from the 24th October to 7th December, 2014, followed by comprehensive chemical analyses including water-soluble ions, elements and organic source-markers. Apparent alterations of chemical profiles were observed with the initiation of domestic heating. Through positive matrix factorization (PMF) source apportionment modeling, six PM2.5 sources including secondary inorganic aerosol (SIA), traffic emission, coal combustion, industry emission, biomass burning and dust were separated and identified. Coal combustion was successfully distinguished from traffic emission by hopane diagnostic ratio. The result of this study reveals a gradual shift of dominating sources for PM pollution episodes from SIA to primary sources after starting heating. BaPeq toxicity from coal combustion increased on average by several to dozens of times in the heating period, causing both long-term and short-term health risk. Air mass trajectory analysis highlights the regional influence of the industry emissions from the area south to Beijing. Control measures taken during APEC were found to be effective for reducing industry source, but less effective in reducing the overall PM2.5 level. These results provide implications for policy making regarding appropriate air pollution control measures.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Air pollution; BaP(eq); Beijing; Chemical composition; PM(2.5); Positive matrix factorization

Year:  2021        PMID: 33743423     DOI: 10.1016/j.chemosphere.2021.130143

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


  2 in total

1.  Estimating changes in air pollutant levels due to COVID-19 lockdown measures based on a business-as-usual prediction scenario using data mining models: A case-study for urban traffic sites in Spain.

Authors:  Jaime González-Pardo; Sandra Ceballos-Santos; Rodrigo Manzanas; Miguel Santibáñez; Ignacio Fernández-Olmo
Journal:  Sci Total Environ       Date:  2022-02-10       Impact factor: 10.753

2.  Has the Risk of Outpatient Visits for Allergic Rhinitis, Related to Short-Term Exposure to Air Pollution, Changed over the Past Years in Beijing, China?

Authors:  Sai Li; Gang Wang; Beibei Wang; Suzhen Cao; Kai Zhang; Xiaoli Duan; Wei Wu
Journal:  Int J Environ Res Public Health       Date:  2022-10-01       Impact factor: 4.614

  2 in total

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