SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing 100871, China
Mingyuan Yu
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing 100871, China
Xuhui Cai
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing 100871, China
Huiyun Du
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Center for Excellence in Urban Atmospheric Environment, Institute
of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Jie Li
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Tian Zhou
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing 100871, China
Caiqing Yan
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing 100871, China
Xuesong Wang
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing 100871, China
Division of Environmental Health and Risk Management, School of
Geography, Earth and Environmental Sciences, University of Birmingham,
Edgbaston, Birmingham, B15 2TT, UK
Institute of Surface Earth System Science, Tianjin University,
Tianjin, 300072, China
Division of Environmental Health and Risk Management, School of
Geography, Earth and Environmental Sciences, University of Birmingham,
Edgbaston, Birmingham, B15 2TT, UK
Department of Environmental Sciences/Center of Excellence in
Environmental Studies, King Abdulaziz University, P.O. Box 80203, Jeddah,
21589, Saudi Arabia
Qiang Zhang
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing 100084, China
Kebin He
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing 100084, China
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Total article views: 5,792 (including HTML, PDF, and XML)
HTML
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XML
Total
Supplement
BibTeX
EndNote
4,019
1,675
98
5,792
668
123
189
HTML: 4,019
PDF: 1,675
XML: 98
Total: 5,792
Supplement: 668
BibTeX: 123
EndNote: 189
Views and downloads (calculated since 03 Dec 2018)
Cumulative views and downloads
(calculated since 03 Dec 2018)
Total article views: 4,832 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,477
1,268
87
4,832
475
112
170
HTML: 3,477
PDF: 1,268
XML: 87
Total: 4,832
Supplement: 475
BibTeX: 112
EndNote: 170
Views and downloads (calculated since 17 May 2019)
Cumulative views and downloads
(calculated since 17 May 2019)
Total article views: 960 (including HTML, PDF, and XML)
HTML
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Total
Supplement
BibTeX
EndNote
542
407
11
960
193
11
19
HTML: 542
PDF: 407
XML: 11
Total: 960
Supplement: 193
BibTeX: 11
EndNote: 19
Views and downloads (calculated since 03 Dec 2018)
Cumulative views and downloads
(calculated since 03 Dec 2018)
Viewed (geographical distribution)
Total article views: 5,792 (including HTML, PDF, and XML)
Thereof 5,488 with geography defined
and 304 with unknown origin.
Total article views: 4,832 (including HTML, PDF, and XML)
Thereof 4,657 with geography defined
and 175 with unknown origin.
Total article views: 960 (including HTML, PDF, and XML)
Thereof 831 with geography defined
and 129 with unknown origin.
This study is part of the UK–China APHH campaign. To identify both source types and source regions at the same time, this study developed a combined method including receptor model, footprint model, and air quality model for the first time to investigate sources of PM2.5 during haze episodes in Beijing. It is an expansion of the application of the receptor model and is helpful for formulating effective control strategies to improve air quality in this region.
This study is part of the UK–China APHH campaign. To identify both source types and source...
