Articles | Volume 24, issue 6
https://doi.org/10.5194/acp-24-3699-2024
© Author(s) 2024. 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-24-3699-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Mar 2024
Research article |
| 25 Mar 2024
| 25 Mar 2024
Uncertainties from biomass burning aerosols in air quality models obscure public health impacts in Southeast Asia
Margaret R. Marvin
CORRESPONDING AUTHOR
National Centre for Earth Observation, University of Edinburgh, Edinburgh, UK
now at: Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA
now at: Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA
Paul I. Palmer
National Centre for Earth Observation, University of Edinburgh, Edinburgh, UK
School of GeoSciences, University of Edinburgh, Edinburgh, UK
National Centre for Earth Observation, University of Edinburgh, Edinburgh, UK
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Mohd Talib Latif
Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
Md Firoz Khan
Department of Chemistry, Faculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia
now at: Department of Environmental Science and Management, North South University, Dhaka, Bangladesh
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Cited
17 citations as recorded by crossref.
- Trapping absorbing and non-absorbing aqueous aerosol particles using a universal 4-arm Laguerre-Gaussian mode light trap K. Dettlaff et al. https://doi.org/10.1364/OE.574626
- An Evaluation of Ground-Level Concentrations of Aerosols and Criteria Pollutants Using the CAMS Reanalysis Dataset over the Himawari-8 Observational Area, Including China, Indonesia, and Australia (2016–2023) M. Sowden https://doi.org/10.3390/air2040024
- Quantifying the impacts of marine aerosols over the southeast Atlantic Ocean using a chemical transport model: implications for aerosol–cloud interactions M. Hossain et al. https://doi.org/10.5194/acp-24-14123-2024
- Long-range impacts of biomass burning on PM2.5: a case study of the UK with a globally nested model D. Tan et al. https://doi.org/10.5194/acp-26-3973-2026
- Using geostationary-satellite-derived sub-daily fire radiative power variability versus prescribed diurnal cycles to assess the impact of African fires on tropospheric ozone H. Wang et al. https://doi.org/10.5194/acp-25-17501-2025
- Chemical interactions within biomass-burning emissions significantly influence the composition and optical properties of nanoscale secondary organic aerosols S. Zhang et al. https://doi.org/10.1039/D5EN00770D
- Unravelling spatiotemporal heterogeneity of wildfire carbon dioxide emissions in Southeast Asia: based on a high-resolution inventory L. Xia et al. https://doi.org/10.1016/j.jenvman.2025.125634
- PM2.5 trends, mortality risks, and health benefits under air quality improvement scenarios in Northern Thailand A. Prasansri et al. https://doi.org/10.1016/j.aeaoa.2026.100490
- Modeling the impacts of open biomass burning on regional O3 and PM2.5 in Southeast Asia considering light absorption and photochemical bleaching of Brown carbon M. Choi & Q. Ying https://doi.org/10.1016/j.atmosenv.2024.120942
- Pretrained Deep Learning Framework for Assessing Aerosol Pollution and Radiative Forcing from Satellite Polarization Measurements Z. Ji et al. https://doi.org/10.1021/acsestair.5c00445
- Summer Ozone Pollution Episodes in South China and Transport Impacts from Southeast Asia B. Zhou et al. https://doi.org/10.1021/acs.est.5c10258
- Assessing the spatiotemporal dynamics of wildfire drivers in Southeast Asia: An explainable spatial machine learning framework L. Xia et al. https://doi.org/10.1016/j.eiar.2026.108337
- Sensitivity analysis of WRF-CMAQ model in predicting PM2.5 and O3 concentration in Peninsular Malaysia: 2019 transboundary burning smoke case study N. Mohd Napi et al. https://doi.org/10.1016/j.atmosenv.2025.121496
- Impact of Prescribed Fire Emissions on Ambient PM2.5 and Its Components in the Southeastern US K. Maji et al. https://doi.org/10.1021/acsenvironau.6c00072
- Biomass burning increase in Southeast Asia is dominated by char black carbon W. Song et al. https://doi.org/10.1038/s43247-026-03431-0
- Direct Radiative Effects of Biomass Burning Aerosols from Key Biomass Burning Regions S. Shi et al. https://doi.org/10.3390/cli14060125
- Technical note: Apportionment of Southeast Asian biomass burning and urban influence via in situ trace gas enhancement ratios J. DiGangi et al. https://doi.org/10.5194/acp-25-17387-2025
17 citations as recorded by crossref.
- Trapping absorbing and non-absorbing aqueous aerosol particles using a universal 4-arm Laguerre-Gaussian mode light trap K. Dettlaff et al. https://doi.org/10.1364/OE.574626
- An Evaluation of Ground-Level Concentrations of Aerosols and Criteria Pollutants Using the CAMS Reanalysis Dataset over the Himawari-8 Observational Area, Including China, Indonesia, and Australia (2016–2023) M. Sowden https://doi.org/10.3390/air2040024
- Quantifying the impacts of marine aerosols over the southeast Atlantic Ocean using a chemical transport model: implications for aerosol–cloud interactions M. Hossain et al. https://doi.org/10.5194/acp-24-14123-2024
- Long-range impacts of biomass burning on PM2.5: a case study of the UK with a globally nested model D. Tan et al. https://doi.org/10.5194/acp-26-3973-2026
- Using geostationary-satellite-derived sub-daily fire radiative power variability versus prescribed diurnal cycles to assess the impact of African fires on tropospheric ozone H. Wang et al. https://doi.org/10.5194/acp-25-17501-2025
- Chemical interactions within biomass-burning emissions significantly influence the composition and optical properties of nanoscale secondary organic aerosols S. Zhang et al. https://doi.org/10.1039/D5EN00770D
- Unravelling spatiotemporal heterogeneity of wildfire carbon dioxide emissions in Southeast Asia: based on a high-resolution inventory L. Xia et al. https://doi.org/10.1016/j.jenvman.2025.125634
- PM2.5 trends, mortality risks, and health benefits under air quality improvement scenarios in Northern Thailand A. Prasansri et al. https://doi.org/10.1016/j.aeaoa.2026.100490
- Modeling the impacts of open biomass burning on regional O3 and PM2.5 in Southeast Asia considering light absorption and photochemical bleaching of Brown carbon M. Choi & Q. Ying https://doi.org/10.1016/j.atmosenv.2024.120942
- Pretrained Deep Learning Framework for Assessing Aerosol Pollution and Radiative Forcing from Satellite Polarization Measurements Z. Ji et al. https://doi.org/10.1021/acsestair.5c00445
- Summer Ozone Pollution Episodes in South China and Transport Impacts from Southeast Asia B. Zhou et al. https://doi.org/10.1021/acs.est.5c10258
- Assessing the spatiotemporal dynamics of wildfire drivers in Southeast Asia: An explainable spatial machine learning framework L. Xia et al. https://doi.org/10.1016/j.eiar.2026.108337
- Sensitivity analysis of WRF-CMAQ model in predicting PM2.5 and O3 concentration in Peninsular Malaysia: 2019 transboundary burning smoke case study N. Mohd Napi et al. https://doi.org/10.1016/j.atmosenv.2025.121496
- Impact of Prescribed Fire Emissions on Ambient PM2.5 and Its Components in the Southeastern US K. Maji et al. https://doi.org/10.1021/acsenvironau.6c00072
- Biomass burning increase in Southeast Asia is dominated by char black carbon W. Song et al. https://doi.org/10.1038/s43247-026-03431-0
- Direct Radiative Effects of Biomass Burning Aerosols from Key Biomass Burning Regions S. Shi et al. https://doi.org/10.3390/cli14060125
- Technical note: Apportionment of Southeast Asian biomass burning and urban influence via in situ trace gas enhancement ratios J. DiGangi et al. https://doi.org/10.5194/acp-25-17387-2025
Saved (final revised paper)
Latest update: 30 Jul 2026
Short summary
We use an atmospheric chemistry model to investigate aerosols emitted from fire activity across Southeast Asia. We find that the limited nature of measurements in this region leads to large uncertainties that significantly hinder the model representation of these aerosols and their impacts on air quality. As a result, the number of monthly attributable deaths is underestimated by as many as 4500, particularly in March at the peak of the mainland burning season.
We use an atmospheric chemistry model to investigate aerosols emitted from fire activity across...
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