Wildland surface fire spread modelling, 1990 - 2007. 2: Empirical and quasi-empirical models

Ju n 20 07 A review of wildland fire spread modelling , 1990 - present 2 : Empirical and quasi - empirical models

In recent years, advances in computational power and spatial data analysis (GIS, remote sensing, etc) have led to an increase in attempts to model the spread and behaviour of wildland fires across the landscape. This series of review papers endeavours to critically and comprehensively review all types of surface fire spread models developed since 1990. This paper reviews models of an empirical ...

Ju n 20 07 A review of wildland fire spread modelling , 1990 - present 1 : Physical and quasi - physical models

In recent years, advances in computational power and spatial data analysis (GIS, remote sensing, etc) have led to an increase in attempts to model the spread and behaviour of wildland fires across the landscape. This series of review papers endeavours to critically and comprehensively review all types of surface fire spread models developed since 1990. This paper reviews models of a physical or...

Empirical Modelling and Classification of Surface Electromyogram

Numerical modelling of wildland fire spread on the windward and leeward sides of a ridge

Wildland fires are occasionally observed to spread rapidly across steep leeward slopes, in a direction that is approximately transverse to the background wind. Laboratory experiments and remote sensing of wildland fires suggest that this atypical lateral fire spread can occur regardless of whether the fire is ignited on the leeward slope or advances onto it from the windward slope. The lateral ...

Coupled Fire - Atmosphere Modeling of Wildland Fire Spread Using DEVS - FIRE and ARPS 1

Coupled Fire-Atmosphere Modeling of Wildland Fire Spread Using DEVS-FIRE and ARPS 1 Nathan Dahl, Haidong Xue, Xiaolin Hu, and Ming Xue 2 Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149 3 Department of Computer Science, Georgia State University, P.O. Box 5060, Atlanta, GA 30302 4 Center for Analysis and Prediction of Storms, 1...