How To Predict The Spread And Intensity Of Forest And Range Fires
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How to Predict the Spread and Intensity of Forest and Range Fires by Richard C. Rothermel Pdf
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.
How to Predict the Spread and Intensity of Forest and Range Fires (Classic Reprint) by Richard C. Rothermel Pdf
Excerpt from How to Predict the Spread and Intensity of Forest and Range Fires As the citations will show, many persons have been involved in the development of the material. Much of the material has not previously been published, however, making it difficult to cite. It is important to document the work and give proper credit before the origin is lost. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Field Procedures for Verification and Adjustment of Fire Behavior Predictions by Richard C. Rothermel Pdf
The problem of verifying predictions of fire behavior, primarily rate of spread, is discussed in terms of the fire situation for which predictions are made, and the type of fire where data are to be collected. Procedures for collecting data and performing analysis are presented for both readily accessible fires where data should be complete, and for inaccessible fires where data are likely to be incomplete. The material is prepared for use by field units, with no requirements for special equipment or computers. Procedures for selecting the most representative fuel model, for overall evaluation of prediction capability, and for developing calibration coefficients to improve future predictions are presented. Illustrated examples from several fires are included. The material is a companion publication to the fire prediction manual titled, 'INT-GTR-143: How to predict the spread and intensity of forest and range fire' by R. C. Rothermel.
Canadian Forest Fire Behavior Prediction (FBP) System by Kelvin G. Hirsch,Northern Forestry Centre (Canada) Pdf
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.
Estimating Wildfire Behavior and Effects by Frank A. Albini Pdf
This paper presents a brief survey of the research literature on wildfire behavior and effects and assembles formulae and graphical computation aids based on selected theoretical and empirical models. The uses of mathematical fire behavior models are discussed, and the general capabilities and limitations of currently available models are outlined.
Development and Structure of the Canadian Forest Fire Behavior Prediction System by Canada. Forestry Canada. Fire Danger Group,Canada. Forestry Canada. Science and Sustainable Development Directorate Pdf
The Canadian Forest Fire Behavior Prediction (FBP) System is a subsystem of the larger Canadian Forest Fire Danger Rating System, which also includes the Canadian Forest Fire Weather Index (FWI) System. The FBP system provides quantitative estimates of head fire spread rate, fuel consumption, fire intensity and fire description and gives estimates of fire area, perimeter, perimeter growth rate and flank and back fire behaviour. This report describes the structure and content of the system and its use with forest fire characteristics.
Stephen William Taylor,Martin E. Alexander,R. G. Pike,Northern Forestry Centre (Canada)
Author : Stephen William Taylor,Martin E. Alexander,R. G. Pike,Northern Forestry Centre (Canada) Publisher : Canadian Forest Service, Northern Forestry Centre Page : 72 pages File Size : 52,8 Mb Release : 1997 Category : Forest fire forecasting ISBN : UIUC:30112044574082
Field Guide to the Canadian Forest Fire Behaviour Prediction (FBP) System by Stephen William Taylor,Martin E. Alexander,R. G. Pike,Northern Forestry Centre (Canada) Pdf
The Canadian Forest Fire Behavior Prediction (FBP) system is a systematic method for assessing wildland fire behaviour potential. Presented in tabular format, this guide provides a simplified version of the system and is designed to assist field staff in making approximations of FBP System outputs.
Fire Science by Francisco Castro Rego,Penelope Morgan,Paulo Fernandes,Chad Hoffman Pdf
This textbook provides students and academics with a conceptual understanding of fire behavior and fire effects on people and ecosystems to support effective integrated fire management. Through case studies, interactive spreadsheets programmed with equations and graphics, and clear explanations, the book provides undergraduate, graduate, and professional readers with a straightforward learning path. The authors draw from years of experience in successfully teaching fundamental concepts and applications, synthesizing cutting-edge science, and applying lessons learned from fire practitioners. We discuss fire as part of environmental and human health. Our process-based, comprehensive, and quantitative approach encompasses combustion and heat transfer, and fire effects on people, plants, soils, and animals in forest, grassland, and woodland ecosystems from around the Earth. Case studies and examples link fundamental concepts to local, landscape, and global fire implications, including social-ecological systems. Globally, fire science and integrated fire management have made major strides in the last few decades. Society faces numerous fire-related challenges, including the increasing occurrence of large fires that threaten people and property, smoke that poses a health hazard, and lengthening fire seasons worldwide. Fires are useful to suppress fires, conserve wildlife and habitat, enhance livestock grazing, manage fuels, and in ecological restoration. Understanding fire science is critical to forecasting the implication of global change for fires and their effects. Increasing the positive effects of fire (fuels reduction, enhanced habitat for many plants and animals, ecosystem services increased) while reducing the negative impacts of fires (loss of human lives, smoke and carbon emissions that threaten health, etc.) is part of making fires good servants rather than bad masters.
Sensitivity of Fire Behavior Simulations to Fuel Model Variations by Lucy Anne Salazar Pdf
Stylized fuel models, or numerical descriptions of fuel arrays, are used as inputs to fire behavior simulation models. These fuel models are often chosen on the basis of generalized fuel descriptions, which are related to field observations. Site-specific observations of fuels or fire behavior in the field are not readily available or necessary for most fire management planning situations. Fuels are thought of in general terms and a single fuel model is often assigned to represent large areas of land. Variations in weather, which can substantially affect fire behavior, are not reflected in the available aids for selecting fuel models. The sensitivity of simulated fire behavior variables to the 13 fire behavior fuel models and two-fuel-model alternatives was analyzed. The two-fuel-model concept demonstrated the effect of combining fuel models on simulated fire behavior results.
Changes in Fire Weather Distributions by Lucy Anne Salazar Pdf
Data that represent average worst fire weather for a particular area are used to index daily fire danger; however, they do not account for different locations or diurnal weather changes that significantly affect fire behavior potential. To study the effects that selected changes in weather databases have on computed fire behavior parameters, weather data for the northern Rocky Mountains were treated as probability distributions, then used in computer simulation to estimate distributions of rate-of-spread (ROS) and fireline intensity (FLI). Sensitivity of ROS and FLl to weather input changes was analyzed by varying the source and amount of weather data, and diurnally adjusting temperature and relative humidity. In eight representative cases, a minimum amount of data produced the lowest cumulative probabilities of ROS and FLl, and data from a higher elevation produced the highest values. For long-term planning, within the region studied, a small subset of weather data distributions was adequate for estimating probabilistic distributions of ROS and FLI. Joint probabilities of ROS and FLI differed substantially among test cases. Fire behavior values obtained with observed data were higher than those obtained with diurnally adjusted data. The simulation techniques used are appropriate for use in long-term fire management planning models.
