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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- Assessment of Aerosol optical depth under background and polluted conditions using AERONET and VIIRS datasets M. Kim et al. 10.1016/j.atmosenv.2020.117994
- The Impact of Future Fuel Consumption on Regional Air Quality in Southeast Asia H. Lee et al. 10.1038/s41598-019-39131-3
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- Origins of black carbon from anthropogenic emissions and open biomass burning transported to Xishuangbanna, Southwest China X. Liu et al. 10.1016/j.jes.2021.12.020
- Considering Condensable Particulate Matter Emissions Improves the Accuracy of Air Quality Modeling for Environmental Impact Assessment D. Choi et al. 10.3390/su13084470
- Economic development and pollution emissions in Singapore: Evidence in support of the Environmental Kuznets Curve hypothesis and its implications for regional sustainability Q. Chen & D. Taylor 10.1016/j.jclepro.2019.118637
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- Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through deep neural networks N. Bruni Zani et al. 10.1088/1748-9326/abb733
- Relative effects of open biomass burning and open crop straw burning on haze formation over central and eastern China: modeling study driven by constrained emissions K. Mehmood et al. 10.5194/acp-20-2419-2020
- Global impact of landscape fire emissions on surface level PM2.5 concentrations, air quality exposure and population mortality G. Roberts & M. Wooster 10.1016/j.atmosenv.2021.118210
- How Much Does Large-Scale Crop Residue Burning Affect the Air Quality in Delhi? S. Kulkarni et al. 10.1021/acs.est.0c00329
- Rapidly rising transboundary atmospheric pollution from industrial and urban sources in Southeast Asia and its implications for regional sustainable development Q. Chen et al. 10.1088/1748-9326/abb5ce
- Biomass burning-derived airborne particulate matter in Southeast Asia: A critical review M. Adam et al. 10.1016/j.jhazmat.2020.124760
- Forecasting and identifying the meteorological and hydrological conditions favoring the occurrence of severe hazes in Beijing and Shanghai using deep learning C. Wang 10.5194/acp-21-13149-2021
- Long Range Transport of Southeast Asian PM2.5 Pollution to Northern Thailand during High Biomass Burning Episodes T. Amnuaylojaroen et al. 10.3390/su122310049
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27 citations as recorded by crossref.
- Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018) M. Hammer et al. 10.1021/acs.est.0c01764
- The performance of a modified EWMA control chart for monitoring autocorrelated PM2.5 and carbon monoxide air pollution data Y. Supharakonsakun et al. 10.7717/peerj.10467
- Haze in Singapore – source attribution of biomass burning PM<sub>10</sub> from Southeast Asia A. Hansen et al. 10.5194/acp-19-5363-2019
- Enhanced Primary Production in the Oligotrophic South China Sea Related to Southeast Asian Forest Fires H. Xiao et al. 10.1029/2019JC015663
- Development of a 3D Real-Time Atmospheric Monitoring System (3DREAMS) Using Doppler LiDARs and Applications for Long-Term Analysis and Hot-and-Polluted Episodes S. YIM 10.3390/rs12061036
- Relationship between Visibility, Air Pollution Index and Annual Mortality Rate in Association with the Occurrence of Rainfall—A Probabilistic Approach G. Majewski et al. 10.3390/en14248397
- Assessment of Aerosol optical depth under background and polluted conditions using AERONET and VIIRS datasets M. Kim et al. 10.1016/j.atmosenv.2020.117994
- The Impact of Future Fuel Consumption on Regional Air Quality in Southeast Asia H. Lee et al. 10.1038/s41598-019-39131-3
- Long-term (2003–2018) trends in aerosol chemical components at a high-altitude background station in the western North Pacific: Impact of long-range transport from continental Asia A. Singh et al. 10.1016/j.envpol.2020.114813
- The influence of meteorology and emissions on the spatio-temporal variability of PM10 in Malaysia M. Alifa et al. 10.1016/j.atmosres.2020.105107
- Origins of black carbon from anthropogenic emissions and open biomass burning transported to Xishuangbanna, Southwest China X. Liu et al. 10.1016/j.jes.2021.12.020
- Considering Condensable Particulate Matter Emissions Improves the Accuracy of Air Quality Modeling for Environmental Impact Assessment D. Choi et al. 10.3390/su13084470
- Economic development and pollution emissions in Singapore: Evidence in support of the Environmental Kuznets Curve hypothesis and its implications for regional sustainability Q. Chen & D. Taylor 10.1016/j.jclepro.2019.118637
- The impacts of biomass burning activities on convective systems over the Maritime Continent H. Lee & C. Wang 10.5194/acp-20-2533-2020
- Modelling Hazardous Reduction Burnings and Bushfire Emission in Air Quality Model and Their Impacts on Health in the Greater Metropolitan Region of Sydney H. Nguyen et al. 10.1007/s10666-020-09705-x
- Air Pollution From Forest and Vegetation Fires in Southeast Asia Disproportionately Impacts the Poor C. Reddington et al. 10.1029/2021GH000418
- Assessment of air quality in the Aburrá Valley (Colombia) using composite indices: Towards comprehensive sustainable development planning A. Londoño Pineda & J. Cano 10.1016/j.uclim.2021.100942
- Projection of the Near-Future PM2.5 in Northern Peninsular Southeast Asia under RCP8.5 T. Amnuaylojaroen et al. 10.3390/atmos13020305
- Prediction of PM2.5 in an Urban Area of Northern Thailand Using Multivariate Linear Regression Model T. Amnuaylojaroen & I. Levy 10.1155/2022/3190484
- Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through deep neural networks N. Bruni Zani et al. 10.1088/1748-9326/abb733
- Relative effects of open biomass burning and open crop straw burning on haze formation over central and eastern China: modeling study driven by constrained emissions K. Mehmood et al. 10.5194/acp-20-2419-2020
- Global impact of landscape fire emissions on surface level PM2.5 concentrations, air quality exposure and population mortality G. Roberts & M. Wooster 10.1016/j.atmosenv.2021.118210
- How Much Does Large-Scale Crop Residue Burning Affect the Air Quality in Delhi? S. Kulkarni et al. 10.1021/acs.est.0c00329
- Rapidly rising transboundary atmospheric pollution from industrial and urban sources in Southeast Asia and its implications for regional sustainable development Q. Chen et al. 10.1088/1748-9326/abb5ce
- Biomass burning-derived airborne particulate matter in Southeast Asia: A critical review M. Adam et al. 10.1016/j.jhazmat.2020.124760
- Forecasting and identifying the meteorological and hydrological conditions favoring the occurrence of severe hazes in Beijing and Shanghai using deep learning C. Wang 10.5194/acp-21-13149-2021
- Long Range Transport of Southeast Asian PM2.5 Pollution to Northern Thailand during High Biomass Burning Episodes T. Amnuaylojaroen et al. 10.3390/su122310049
Latest update: 09 Jun 2023
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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