Structure Burning Emissions and Plume Rise Influence PM2.5 Concentrations During the 2025 Los Angeles Fires

Wildland-urban interface (WUI) fires can release substantial emissions from burned structures, yet their air quality impacts remain poorly characterized. We performed multiple high-resolution simulations to incorporate and improve the representation of structure burning emissions for the January 2025 Los Angeles fires in the WRF-Chem model. Applying fire-specific temporal allocation of biomass burning emissions improved agreement of PM 2.5 concentrations with surface observations. Relative to the simulation that only included biomass burning emissions, considering structure burning emissions increased downwind surface and column-integrated PM 2.5 concentrations. Applying plume rise to structural burning emissions shifted more PM 2.5 aloft and substantially reduced their contribution to surface concentrations, while having a smaller effect on column-integrated PM 2.5 . Structure burning increased population-weighted PM 2.5 concentrations in the Los Angeles South Coast area by 14%. Our findings show that representing structure burning emissions and their plume rise is important for modeing air quality and estimating population exposure during WUI fires.

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Published
2026-11-01
DOI
https://doi.org/10.22541/essoar.15011380/v1
Primary Topic
Atmospheric chemistry and aerosols
Type
preprint

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preprint

Structure Burning Emissions and Plume Rise Influence PM2.5 Concentrations During the 2025 Los Angeles Fires

Wenfu Tang, Joshua L. Laughner, Sam James Silva, Soroush E. Neyestani et al.
3 links
Atmospheric chemistry and aerosols
preprint

Structure Burning Emissions and Plume Rise Influence PM2.5 Concentrations During the 2025 Los Angeles Fires

Wenfu Tang, Joshua L. Laughner, Sam James Silva, Soroush E. Neyestani, Yan Lü, Dandan Wei, Rima Habre, Jiachen Zhang, Yucheng He, Yueqi Jiang
preprint en

Abstract

Wildland-urban interface (WUI) fires can release substantial emissions from burned structures, yet their air quality impacts remain poorly characterized. We performed multiple high-resolution simulations to incorporate and improve the representation of structure burning emissions for the January 2025 Los Angeles fires in the WRF-Chem model. Applying fire-specific temporal allocation of biomass burning emissions improved agreement of PM 2.5 concentrations with surface observations. Relative to the simulation that only included biomass burning emissions, considering structure burning emissions increased downwind surface and column-integrated PM 2.5 concentrations. Applying plume rise to structural burning emissions shifted more PM 2.5 aloft and substantially reduced their contribution to surface concentrations, while having a smaller effect on column-integrated PM 2.5 . Structure burning increased population-weighted PM 2.5 concentrations in the Los Angeles South Coast area by 14%. Our findings show that representing structure burning emissions and their plume rise is important for modeing air quality and estimating population exposure during WUI fires.

University of California, Riverside (US), NSF National Center for Atmospheric Research (US), University of Southern California (US), Jet Propulsion Laboratory (US)
National Aeronautics and Space Administration, University of Southern California, California Institute of Technology, National Institutes of Health, National Oceanic and Atmospheric Administration, Jet Propulsion Laboratory, National Heart, Lung, and Blood Institute, Lawrence Berkeley National Laboratory
Climate action, Sustainable cities and communities
Atmospheric chemistry and aerosols
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