Name: Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach (en Inglés)
Price: 847.06 PEN
Availability: InStock
Author: Baranovskiy, Nikolay Viktorovich
ISBN: 9781799872504

portada Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach (en Inglés)

Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach (en Inglés)

Formato

Libro Físico

Ilustrado por

Nikolay Viktorovich Baranovskiy

Editorial

Engineering Science Reference

Autor

Baranovskiy, Nikolay Viktorovich

Año

2021

Idioma

Inglés

N° páginas

315

Encuadernación

Tapa Dura

Dimensiones

27.9 x 21.6 x 1.9 cm

Peso

1.04 kg.

ISBN13

9781799872504

N° edición

Categorías

Protección y seguridad contra incendios
Ciencia, ingeniería y tecnología medioambientales
Ingeniería forestal y silvicultura: práctica y técnicas

Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach (en Inglés)

Nikolay Viktorovich Baranovskiy (Ilustrado por) · Engineering Science Reference · Tapa Dura

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Reseña del libro "Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach (en Inglés)"

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.