This report describes a new set of standard fire behavior fuel models for use with Rothermels surface fire spread model and the relationship of the new set to the original set of 13 fire behavior fuel models. To assist with transition to using the new fuel models, a fuel model selection guide, fuel model crosswalk, and set of fuel model photos are provided.
Predicting the potential behavior and effects of wildland fire is an essential task in fire management. Mathematical surface fire behavior and fire effects models and prediction systems are driven in part by fuelbed inputs such as load, bulk density, fuel particle size, heat content, and moisture of extinction. To facilitate use in models and systems, fuelbed inputs have been formulated into fuel models. A fuel model is a set of fuelbed inputs needed by a particular fire behavior or fire effects model. Different kinds of fuel models are used in fire science; this document addresses only fire behavior fuel models for use in the Rothermel (1972) surface fire spread model.
This manual documents procedures for estimating the rate of forward spread, intensity, flame length, and size of fires burning in forests and rangelands. Contains instructions for obtaining fuel and weather data, calculating fire behavior, and interpreting the results for application to actual fire problems.
The Canadian Forest Fire Behaviour Prediction (FBP) System provides a systematic method of assessing fire behaviour. The FBP System has 14 primary inputs that can be divided into 5 general categories: fuels, weather, topography, foliar moisture content, and type and duration of prediction. In the FBP System these inputs are used to mathematically develop 4 primary and 11 secondary outputs. Primary outputs are generally based on a fire intensity equation, and secondary outputs are calculated using a simple elliptical fire growth model. This publication provides diagrams, examples, and exercises that explain the FBP System in a user-oriented manner. This guideline delineates the interpretation of the FBP System's inputs and outputs and details how the predictions are derived.
Geotechnologies and the Environment: Environmental Applications and Mana- ment presents an engaging and diverse array of physically-oriented GIScience applications that have been organized using four broad themes. While the book’s themes are by no means mutually exclusive, Hoalst-Pullen and Patterson provide an elegant overview of the eld that frames the collection’s subsequent thematic str- ture – Wilderness and Wildlife Response; Glaciers; Wetlands and Watersheds; and Human Health and the Environment. Over the course of the volume, the contrib- ing authors move beyond basic (and in some respects clichéd) landscape ecology of land use change to explore human-environment dynamics heretofore not emp- sized in the applied literature. In doing so, the collection presents a compelling case for the importance of developing new physically-oriented GIScience applications that reside at the nexus of social and natural systems with the explicit intent of informing public policy and/or the decision making practices of resource managers. Individually, the chapters themselves are intentionally diverse. The diversity of the approaches, their spatial context, and emphases on management applications demonstrate the many ways in which geotechnologies can be used to address small and big problems in both developed and developing regions. The collection’s int- nal coherence is derived – like the book series – from its explicit appeal to a wide variety of human-environment interactions with potential policy linkages.
A complete set of nomographs for estimating surface fire rate of spread and flame length for the original 13 and new 40 fire behavior fuel models is presented. The nomographs allow calculation of spread rate and flame length for wind in any direction with respect to slope and allow for nonheading spread directions. Basic instructions for use are included.