Krahasoni metodat

	Shpërndarja e tymit	Severity of Burn (dNBR)	Rothermel Fire Model
Fusha	Pylltari	Pylltari	Pylltari
Familja	Process / pipeline	Process / pipeline	Process / pipeline
Viti i origjinës	2000	2006	1972
Krijuesi	Dave Peterson	Carl Key	Richard Rothermel
Lloji	atmospheric modeling	remote sensing index	fire propagation model
Burimi themelues	Larson, T., Gould, T., Simpson, C., & Liu, L. J. S. (2004). Source apportionment of indoor, outdoor, and personal PM2.5 in Seattle, Washington using positive matrix factorization. Journal of the Air & Waste Management Association, 54(9), 1175–1187.	Key, C. H., & Benson, N. C. (2006). Landscape Assessment (LA): Sampling and Analysis Methods. General Technical Report RMRS-GTR-164-CD, USDA Forest Service Rocky Mountain Research Station.	Rothermel, R. C. (1972). A mathematical model for predicting fire spread in wildland fuels. Research Paper INT-115, USDA Forest Service Intermountain Research Station.
Emërtime të tjera	air quality, smoke transport, visibility impacts	dNBR, Delta NBR, burn severity index	fire spread model, BEHAVE model
Të lidhura	3	3	3
Përmbledhja	Smoke dispersion modeling predicts how smoke from wildfires and prescribed burns travels and disperses through the atmosphere, affecting air quality and visibility. Models use fire characteristics (size, intensity, fuel type), atmospheric conditions (wind, stability, mixing height), and topography to forecast smoke plumes and estimate particulate matter (PM2.5) concentrations downwind. Used for air quality forecasting, prescribed burn planning, and public health protection.	Burn severity is a quantitative measure of fire-induced changes in vegetation and soil, assessed using satellite-based spectral indices. The Normalized Burn Ratio (NBR) and its delta (dNBR) compare pre-fire and post-fire spectral reflectance in the near-infrared and shortwave-infrared bands to detect fire-caused vegetation damage and soil exposure. Developed by Key and Benson in 2006, dNBR has become the standard remote-sensing tool for rapid post-fire assessment and is used for emergency response, recovery planning, and ecological analysis.	The Rothermel fire spread model, developed by Richard Rothermel in 1972, is a mechanistic mathematical model that predicts the rate of fire spread through surface fuels using fuel characteristics, weather, and topography. It forms the theoretical foundation of the BEHAVE fire modeling system used operationally by fire agencies worldwide. The model integrates principles from combustion physics, heat transfer, and fuel science to quantify how fire intensity, fuel moisture, wind, and slope interact to drive wildfire propagation.