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New paper published in ES&T on WUI Fire Emissions

June 24, 2025 by Michael Gollner

New paper published in Environmental Science and Technology:

Laboratory Quantification of Emissions from Wildland-Urban Interface Fuels Using Fourier-Transform Infrared Spectroscopy

Abstract

Emissions from eight common wildland-urban interface (WUI) fuels were quantified using Fourier-transform infrared spectroscopy under varying oxygen concentrations (0, 14, 21%) and heat fluxes (25, 50 kW/m2). Emission factors for carbon monoxide (CO), carbon dioxide (CO2), and other gaseous and particulate effluents varied significantly across these conditions. By implementing a new Toxicity Score method, polyvinyl chloride was identified as the most hazardous fuel, followed by asphalt shingles and vinyl plank flooring under smoldering conditions at 21% oxygen concentration. Hydrogen chloride was the dominant toxicant across all test conditions, while formaldehyde was a major contributor at 25 kW/m2 and carbon monoxide became increasingly significant at 50 kW/m2. Hydrocarbon emissions increased markedly under pyrolysis conditions, particularly from synthetic materials like asphalt shingles. Notably, total particulate matter emissions varied under different conditions and were also influenced by fuel consumption efficiency. These findings contribute to improved wildfire emission models and underscore the need to consider diverse environmental conditions in future WUI fire research.

This is the first paper related to an research project led by Prof. Allen Goldstein taking place at the Insurance Institute for Business & Home Safety – IBHS to measure emissions from full burning buildings (ADUs) and characterize the emissions of both the large fires and individual components in the lab. We are grateful to California Air Resources Board for support of this project, California Department of Forestry and Fire Protection (CAL FIRE) for funding the structure separation experiments, and IBHS for being outstanding partners in this effort.

Great work Siyan Wang leading this paper and co authors Wuquan Cui, Bryce Bathras, Allen Goldstein, Michael Milazzo

 

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