Articles | Volume 18, issue 9
https://doi.org/10.5194/acp-18-6141-2018
© 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-18-6141-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impacts of air pollutants from fire and non-fire emissions on the regional air quality in Southeast Asia
Center for Environmental Sensing and Modeling, Singapore-MIT
Alliance for Research and Technology, Singapore
Oussama Iraqui
Energy and Environmental Engineering Department, National Institute of
Applied Science of Lyon (INSA Lyon), Lyon, France
Yefu Gu
Department of Geography and Resource Management, The Chinese
University of Hong Kong, Hong Kong SAR, China
Steve Hung-Lam Yim
Department of Geography and Resource Management, The Chinese
University of Hong Kong, Hong Kong SAR, China
Apisada Chulakadabba
Department of Civil & Environmental Engineering, Massachusetts
Institute of Technology, Cambridge, MA, USA
Adam Yiu-Ming Tonks
Division of Science, Yale-NUS College, Singapore
Zhengyu Yang
Department of Mathematics, National University of Singapore, Singapore
Chien Wang
Center for Environmental Sensing and Modeling, Singapore-MIT
Alliance for Research and Technology, Singapore
Center for Global Change Science, Massachusetts Institute of
Technology, Cambridge, MA, USA
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Latest update: 20 Nov 2024
Short summary
Our study shows that across ASEAN 50 cities, these model results reveal that 39 % of observed low-visibility days can be explained by either fossil fuel burning or biomass burning emissions alone, a further 20 % by fossil fuel burning alone, a further 8 % by biomass burning alone, and a further 5 % by a combination of fossil fuel burning and biomass burning. The remaining 28 % of observed low-visibility days remains unexplained, likely due to emissions sources that have not been accounted for.
Our study shows that across ASEAN 50 cities, these model results reveal that 39 % of observed...
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