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Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach (Hardcover)
Loot Price: R5,630
Discovery Miles 56 300
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Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach (Hardcover)
Expected to ship within 10 - 15 working days
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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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