Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach

Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach

Bibliographic Details
Main Author: Baranovskiy N. V. Nikolay Viktorovich
Summary: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.
Language:English
Published: Hershey, IGI Global, 2021
Subjects:
труды учёных ТПУ
окружающая природная среда
лесное хозяйство
леса
защита
возгорания
прогнозирование
методы
математическое моделирование
физическое материаловедение
опасность
предотвращение
топливо
грозовые разряды
английский язык
Format: Book
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=347006

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