A Model for Predicting Lightning Fire Ignition in Wildland Fuels (Classic Reprint)


Book Description

Excerpt from A Model for Predicting Lightning Fire Ignition in Wildland Fuels This report, the second of several planned on the topic of lightning-caused fires (see Preface), describes the development and structure of a model for predicting the ignition of Wildland fuels by lightning. The model is both physical and stochastic in structure. The physical processes for ignition of fine woody fuels by lightning are the basis for the model. Stochastic processes are used to generalize site conditions for a large area and the chance occurrence of simultaneous events required for ignition. 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.







Modeling Moisture Content of Fine Dead Wildland Fuels


Book Description

Describes a model for predicting moisture content of fine fuels for use with the BEHAVE fire behavior and fuel modeling system. The model is intended to meet the need for more accurate predictions of fine fuel moisture, particularly in northern conifer stands and on days following rain. The model is based on the Canadian Fine Fuel Moisture Code (FFMC), modified to account for solar heating of fuels and to predict diurnal trends in fine fuel moisture. The model may be initiated without extensive data on prior weather. When compared to the FFMC and the fire behavior officers' procedures, the new model gave consistently better predictions over the complete range of fuel conditions.













Progress Toward Locating Lightning Fires


Book Description

Systems to enable land managers to locate, evaluate, and counter the fire threat of lightning storms are in the early stages of development. In the western U.S. and Alaska, the Bureau of Land Management has established networks of instruments that locate lightning strikes by means of recorded azimuths. Further research could add important capabilities: identifying and counting strikes with fire-starting potential, estimating ignition probabilities under various fuel and weather conditions, and predicting fire behavior immediately after ignition.




Predicting the Daily Occurrence of Lightning-caused Forest Fires


Book Description

This paper describes the method currently used to predict the daily number and location of lightning-caused fires, including the various components of the model that predict occurrence, ignition, smouldering fires, and detectable fire. Evaluation results are given and discussed.




A Mathematical Model for Predicting Fire Spread in Wildland Fuels (Classic Reprint)


Book Description

Excerpt from A Mathematical Model for Predicting Fire Spread in Wildland Fuels The phenomena of flame spreading over an igniting propellant surface is viewed herein as one of continuous, diffusive, gas-phase ignition; thus, the flame spreading phenomena is linked inextricably to the ignition phenomena. 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.