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Books > Professional & Technical > Agriculture & farming > Forestry & silviculture: practice & techniques

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Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach (Hardcover) Loot Price: R5,630
Discovery Miles 56 300
Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach (Hardcover): Nikolay Viktorovich Baranovskiy

Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach (Hardcover)

Nikolay Viktorovich Baranovskiy

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Loot Price R5,630 Discovery Miles 56 300 | Repayment Terms: R528 pm x 12*

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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.

General

Imprint: Business Science Reference
Country of origin: United States
Release date: May 2021
Editors: Nikolay Viktorovich Baranovskiy
Dimensions: 279 x 216 x 26mm (L x W x T)
Format: Hardcover
Pages: 315
ISBN-13: 978-1-79987-250-4
Categories: Books > Professional & Technical > Agriculture & farming > Forestry & silviculture: practice & techniques
LSN: 1-79987-250-5
Barcode: 9781799872504

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