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Integrating models to predict regional haze from wildland fire.Author(s): D. McKenzie; S.M. O'Neill; N. Larkin; R.A. Norheim
Source: Ecological Modeling. 199: 278-288
Publication Series: Scientific Journal (JRNL)
PDF: Download Publication (2.55 MB)
DescriptionVisibility impairment from regional haze is a significant problem throughout the continental United States. A substantial portion of regional haze is produced by smoke from prescribed and wildland fires. Here we describe the integration of four simulation models, an array of GIS raster layers, and a set of algorithms for fire-danger calculations into a modeling framework for simulating regional-scale smoke dispersion. We focus on a representative fire season (2003) in the Northwestern USA, on a 12-km domain, and track the simulated dispersion and concentration of PM2.5 over the course of the season. Simulated visibility reductions over national parks and wilderness areas are within the ranges of measured values at selected monitoring sites, although the magnitudes of peak events are underestimated because these include inputs other than fire.
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CitationMcKenzie, D.; O''Neill, S.M.; Larkin, N.; Norheim, R.A. 2006. Integrating models to predict regional haze from wildland fire. Ecological Modeling. 199: 278-288
KeywordsRegional haze, integrated models, fire regimes, fire emissions, smoke dispersion
- Modelling smoke transport from wildland fires: a review
- Wildfire smoke conditions: interior Alaska.
- Machine learning-based integration of high-resolution wildfire smoke simulations and observations for regional health impact assessment
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