Literature DB >> 28237464

Review of receptor-based source apportionment research of fine particulate matter and its challenges in China.

Yanjun Zhang1, Jing Cai1, Shuxiao Wang2, Kebin He2, Mei Zheng3.   

Abstract

As the key for haze control, atmospheric fine particulate matter with aerodynamic diameter <2.5μm (or PM2.5) is of great concern lately in China. It is closely linked to fast pace of urbanization, industrialization and economic development, especially in eastern China. A good understanding of its sources is required for effective pollution abatement. Receptor models are one of the major methods for source apportionment used in China. The major objective of this study is to understand sources that contribute to fine particulate matter in China and key challenges in this area. Spatial distribution of fine particulate matter concentration, chemical composition and dominant sources in North and South China are summarized. Based on chemical speciation results from 31 cities and source apportionment results from 21 cities, it is found that secondary sources and traffic emission have higher contribution in South China while the percentage of coal combustion, dust and biomass burning to total PM2.5 are higher in North China. Source profiles established in China from 44 cities and areas are also summarized as references for future source apportionment studies. Suggestions for future research are also provided including methods for evaluating source apportionment results, ways for integrating multiple source apportionment methods, the need for standardizing protocols and developing tools for high-time resolution source apportionment.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  China; PM(2.5); Receptor model; Review; Source apportionment; Source profile

Year:  2017        PMID: 28237464     DOI: 10.1016/j.scitotenv.2017.02.071

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Nontarget Screening Exhibits a Seasonal Cycle of PM2.5 Organic Aerosol Composition in Beijing.

Authors:  Jialiang Ma; Florian Ungeheuer; Feixue Zheng; Wei Du; Yonghong Wang; Jing Cai; Ying Zhou; Chao Yan; Yongchun Liu; Markku Kulmala; Kaspar R Daellenbach; Alexander L Vogel
Journal:  Environ Sci Technol       Date:  2022-03-18       Impact factor: 11.357

2.  Unbalanced emission reductions and adverse meteorological conditions facilitate the formation of secondary pollutants during the COVID-19 lockdown in Beijing.

Authors:  Tao Ma; Fengkui Duan; Yongliang Ma; Qinqin Zhang; Yunzhi Xu; Wenguang Li; Lidan Zhu; Kebin He
Journal:  Sci Total Environ       Date:  2022-05-16       Impact factor: 10.753

Review 3.  Estimating traffic contribution to particulate matter concentration in urban areas using a multilevel Bayesian meta-regression approach.

Authors:  Shahram Heydari; Marko Tainio; James Woodcock; Audrey de Nazelle
Journal:  Environ Int       Date:  2020-05-28       Impact factor: 9.621

4.  PM2.5, Population Exposure and Economic Effects in Urban Agglomerations of China Using Ground-Based Monitoring Data.

Authors:  Yonglin Shen; Ling Yao
Journal:  Int J Environ Res Public Health       Date:  2017-07-03       Impact factor: 3.390

5.  Snow-dirt sludge as an indicator of environmental and sedimentation processes in the urban environment.

Authors:  Andrian Seleznev; Ilia Yarmoshenko; Georgy Malinovsky; Ekaterina Ilgasheva; Elena Baglaeva; Anastasia Ryanskaya; Daria Kiseleva; Tamara Gulyaeva
Journal:  Sci Rep       Date:  2019-11-21       Impact factor: 4.379

  5 in total

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