Overview

Forest fires cause ecological, economic, and social damage to various states of the international community. The causes of forest fires are rather varied, but the main factor is human activity in settlements, industrial facilities, objects of transport infrastructure, and intensively developed territories (in other words, anthropogenic load). In turn, storm activity is also a basic reason for forest fires in remote territories. Therefore, scientists across the world have developed methods, approaches, and systems to predict forest fire danger, including the impact of human and storm activity on forested territories. An important and comprehensive point of research is on the complex deterministic-probabilistic approach, which combines mathematical models of forest fuel ignition by various sources of high temperature and probabilistic criteria of forest fire occurrence. Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach provides a comprehensive approach of forest fire danger prediction using mathematical models of forest fuel with consideration to anthropogenic load, storm activity, and meteorological parameters. Specifically, it uses the deterministic-probabilistic approach to predict forest fire danger and improve forest protection from fires. The chapters will cover various tree types, mathematical models, and solutions for reducing the destructive consequences of forest fires on ecosystems. This book is ideal for professionals and researchers working in the field of forestry, forest fire danger researchers, executives, computer engineers, practitioners, government officials, policymakers, academicians, and students looking for a new system to predict forest fire danger.

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9781799872511

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Author Information

Nikolay Viktorovich Baranovskiy received Specialist Degree in Mechanics from Tomsk State University in 2000. He received PhD Degree in Physics and Mathematics from Tomsk State University in 2007. His current position is Associate Professor at Tomsk Polytechnic University. His current interests include forest fire danger and ecological impact prediction, parallel computing and spatial data analysis using GIS and RS technologies. Prof. Baranovskiy is a Member of International Association of Wildland Fire, Association for Fire Ecology, International Association for Fire Safety Science, and International Association of Engineers. He is an author of more than 150 articles and papers in Russian and International Journals.

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