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: 5,856 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
4,060
1,694
102
5,856
674
127
193
HTML: 4,060
PDF: 1,694
XML: 102
Total: 5,856
Supplement: 674
BibTeX: 127
EndNote: 193
Views and downloads (calculated since 03 Dec 2018)
Cumulative views and downloads
(calculated since 03 Dec 2018)
Total article views: 4,885 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,518
1,276
91
4,885
479
116
174
HTML: 3,518
PDF: 1,276
XML: 91
Total: 4,885
Supplement: 479
BibTeX: 116
EndNote: 174
Views and downloads (calculated since 17 May 2019)
Cumulative views and downloads
(calculated since 17 May 2019)
Total article views: 971 (including HTML, PDF, and XML)
HTML
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XML
Total
Supplement
BibTeX
EndNote
542
418
11
971
195
11
19
HTML: 542
PDF: 418
XML: 11
Total: 971
Supplement: 195
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: 5,856 (including HTML, PDF, and XML)
Thereof 5,548 with geography defined
and 308 with unknown origin.
Total article views: 4,885 (including HTML, PDF, and XML)
Thereof 4,707 with geography defined
and 178 with unknown origin.
Total article views: 971 (including HTML, PDF, and XML)
Thereof 841 with geography defined
and 130 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...
