Overview

In order to prevent or reduce major loss of life and property, and damage to the environment, it is important to be able to analyse the behaviour of forest fires. To do so requires the development of computer codes that can take into consideration a large number of different parameters. The papers in this book, presented at the third in a successful series on the topic, cover the latest research and applications of computational tools available for analysing and predicting the spread of forest fires. Featured topics include: Air Quality and Health Risks; Computational Methods and Experiments; Detection, Monitoring and Response Systems; Decision Support Systems; Risk and Vulnerability Assessment; Resource Optimisation.

Full Product Details

Author:   C. A. Brebbia ,  G. Perona
Publisher:   WIT Press
Imprint:   WIT Press
Volume:   158
ISBN:  

9781845645847

ISBN 10:   1845645847
Pages:   258
Publication Date:   22 May 2012
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Leather / fine binding
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Contents Section 1: Air quality and health risks Safety in forest fire fighting action: a new radiometric model to evaluate the safety distance for firemen working with hand-operated systems; Modelling the exposure of firefighters to smoke based on measured data Section 2: Computational methods and experiments Fire behavior modeling based on simulated field plots; Spatio-temporal modelling of wildfires in Catalonia, Spain, 1994 - 2008, through log Gaussian Cox processes; Prediction and modeling of the forest using neural networks and supercomputers Section 3: Detection, monitoring and response systems ArcFIREA'/ArcFUELA': Forest Fire Management Geoplatform and fuel maps; SIRIO: an integrated forest fire monitoring, detection and decision support system - performance and results of the installation in Sanremo (Italy); Monitoring network-based infrastructure for forest fire detection; An automatic forest fires identification methodology using FY3A/B VIRR images; A new thermally activated battery cell- based forest fire detection and monitoring system; Launching extinguishing carriers into remote forests for active fire fighting; Intelligent wireless sensor network for wildfire detection Section 4: Decision support systems The relative value of fire planning alternatives; Introducing GIS-based simulation tools to support rapid response in wildland fire fighting Section 5: Risk and vulnerability assessment Fire risk at the wildland-urban interface: a case study of a Galician county; Experimental determination of volatile organic compounds emitted by Thymus vulgaris; Danger degrees adjustment for the Monte Alegre Formula (FMA) Section 6: Resource optimisation Regression analysis of wildfire suppression; Rekindle dynamics: validating the pressure on wildland fire suppression resources and implications for fire management in Portugal

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