Articles | Volume 18, issue 16
https://doi.org/10.5194/acp-18-11563-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-11563-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Exploration of PM2.5 sources on the regional scale in the Pearl River Delta based on ME-2 modeling
Xiao-Feng Huang
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy,
Peking University Shenzhen Graduate School, Shenzhen, 518055, China
Bei-Bing Zou
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy,
Peking University Shenzhen Graduate School, Shenzhen, 518055, China
Ling-Yan He
CORRESPONDING AUTHOR
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy,
Peking University Shenzhen Graduate School, Shenzhen, 518055, China
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences
and Engineering, Peking University, Beijing, 100871, China
André S. H. Prévôt
Paul Scherrer Institute (PSI), 5232 Villigen-PSI, Switzerland
Yuan-Hang Zhang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences
and Engineering, Peking University, Beijing, 100871, China
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- Estimation and variation analysis of secondary inorganic aerosols across the Greater Bay Area in 2005 and 2015 Y. Chen et al. 10.1016/j.chemosphere.2021.133393
- Automated compound speciation, cluster analysis, and quantification of organic vapors and aerosols using comprehensive two-dimensional gas chromatography and mass spectrometry X. He et al. 10.5194/acp-24-10655-2024
Latest update: 26 Dec 2024
Short summary
A novel multilinear engine (ME-2) model was applied to the PM2.5 dataset observed in the Pearl River Delta (PRD) of China in 2015 and identified the sources of secondary sulfate (21 %), vehicle emissions (14 %), industrial emissions (13 %), secondary nitrate (11 %), biomass burning (11 %), secondary organic aerosol (7 %), coal burning (6 %), fugitive dust (5 %), ship emissions (3 %) and aged sea salt (2 %). The central PRD area was clearly identified as the key emission area in the PRD.
A novel multilinear engine (ME-2) model was applied to the PM2.5 dataset observed in the Pearl...
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