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

被引:151
|
作者
Zhang, Yanjun [1 ,2 ]
Cai, Jing [1 ,2 ]
Wang, Shuxiao [3 ]
He, Kebin [3 ]
Zheng, Mei [1 ,2 ]
机构
[1] Peking Univ, Coll Environm Sci & Engn, SKL ESPC, Beijing 100871, Peoples R China
[2] Peking Univ, Coll Environm Sci & Engn, BIC ESAT, Beijing 100871, Peoples R China
[3] Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
PM2.5; Source apportionment; Receptor model; Review Source profile; China; AIR-POLLUTION SOURCES; PEARL RIVER DELTA; POLYCYCLIC AROMATIC-HYDROCARBONS; ATMOSPHERIC AEROSOL COMPOSITIONS; VEHICULAR EMISSION INVENTORIES; MATRIX FACTORIZATION ANALYSIS; TRAINED SOURCE APPORTIONMENT; PM2.5 SOURCE APPORTIONMENT; FIRED POWER-PLANTS; CHEMICAL-CHARACTERIZATION;
D O I
10.1016/j.scitotenv.2017.02.071
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As the key for haze control, atmospheric fine particulate matter with aerodynamic diameter <2.5 mu m (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. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:917 / 929
页数:13
相关论文
共 50 条
  • [1] Source apportionment research of fine particulate matter in the atmosphere by PAHs
    Ju Wang
    Le Yang
    Tianyi Ma
    Liyuan Sun
    Liangui Yu
    Chunsheng Fang
    [J]. Chemical Research in Chinese Universities, 2016, 32 : 746 - 753
  • [2] Source Apportionment Research of Fine Particulate Matter in the Atmosphere by PAHs
    Wang Ju
    Yang Le
    Ma Tianyi
    Sun Liyuan
    Yu Liangui
    Fang Chunsheng
    [J]. CHEMICAL RESEARCH IN CHINESE UNIVERSITIES, 2016, 32 (05) : 746 - 753
  • [3] Review of online source apportionment research based on observation for ambient particulate matter
    Wang, Feng
    Yu, Haofei
    Wang, Zhenyu
    Liang, Weiqing
    Shi, Guoliang
    Gao, Jian
    Li, Mei
    Feng, Yinchang
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 762
  • [4] Pollution Characteristics and Source Apportionment of Fine Particulate Matter in Autumn and Winter in Puyang, China
    Chen, Chu
    Wang, Ti-Jian
    Li, Yuan-Hao
    Ma, Hong-Lei
    Chen, Pu-Long
    Wang, De-Yi
    Zhang, Yuan-Xun
    Qiao, Qi
    Li, Guang-Ming
    Wang, Wen-Hong
    [J]. Huanjing Kexue/Environmental Science, 2019, 40 (08): : 3421 - 3430
  • [5] Source Apportionment of Fine Particulate Matter during the Day and Night in Lanzhou, NW China
    Zhang, Mei
    Jia, Jia
    Wang, Bo
    Zhang, Weihong
    Gu, Chenming
    Zhang, Xiaochen
    Zhao, Yuanhao
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (12)
  • [6] Source apportionment of fine particulate matter during autumn haze episodes in Shanghai, China
    Wang, Yangjun
    Li, Li
    Chen, Changhong
    Huang, Cheng
    Huang, Haiying
    Feng, Jialiang
    Wang, Shuxiao
    Wang, Hongli
    Zhang, Gangfeng
    Zhou, Min
    Cheng, Ping
    Wu, Minghong
    Sheng, Guoying
    Fu, Jiamo
    Hu, Yongtao
    Russell, Armistead G.
    Wumaer, Akemu
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2014, 119 (04) : 1903 - 1914
  • [7] Research status and prospects on source apportionment of atmospheric fine particulate matter in Shandong Province
    Zhou, Rui-Zhi
    Yan, Cai-Qing
    Cui, Min
    Xu, Min
    Liu, Wei-Jian
    Chen, Hai-Biao
    Zhou, Tao-Meizi
    Zheng, Mei
    [J]. Zhongguo Huanjing Kexue/China Environmental Science, 2021, 41 (07): : 3029 - 3042
  • [8] Monitoring and source apportionment of fine particulate matter at Lindon, Utah
    Grover, Brett D.
    Carter, Cory B.
    Kleinman, Michael A.
    Richards, Jeremy S.
    Eatough, Norman L.
    Eatough, Delbert J.
    Dasgupta, Purnendu K.
    Al-Horr, Rida
    Ullah, S. M. Rahmat
    [J]. AEROSOL SCIENCE AND TECHNOLOGY, 2006, 40 (10) : 941 - 951
  • [9] Source apportionment of fine particulate matter in the southeastern united states
    Lee, Sangil
    Russell, Armistead G.
    Baumann, Karsten
    [J]. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2007, 57 (09) : 1123 - 1135
  • [10] Source apportionment of airborne fine particulate matter in an underground mine
    McDonald, JD
    Zielinska, B
    Sagebiel, JC
    McDaniel, MR
    Mousset-Jones, P
    [J]. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2003, 53 (04): : 386 - 395