Forest Fuel Drying, Pyrolysis and Ignition Processes during Forest Fire: A Review

書誌詳細
Parent link:Processes
Vol. 10, iss. 1.— 2022.— [89, 25 p.]
第一著者: Baranovskiy N. V. Nikolay Viktorovich
団体著者: Национальный исследовательский Томский политехнический университет Инженерная школа энергетики Научно-образовательный центр И. Н. Бутакова (НОЦ И. Н. Бутакова)
その他の著者: Kirienko V. A. Viktoriya Andreevna
要約:Title screen
Forest ecosystems perform several functions that are necessary for maintaining the integrity of the planet's ecosystem. Forest fires are thus a significant danger to all living things. Forest fire fighting is a foreground task for modern society. Forest fire prediction is one of the most effective ways to solve this urgent issue. Modern prediction systems need to be developed in order to increase the quality of prediction; therefore, it is necessary to generalize knowledge about the processes occurring during a fire. This article discusses the key features of the processes prior to forest fuel ignition (drying and pyrolysis) and the ignition itself, as well as approaches to their experimental and mathematical modeling.
出版事項: 2022
主題:
オンライン・アクセス:http://earchive.tpu.ru/handle/11683/70752
https://doi.org/10.3390/pr10010089
フォーマット: 電子媒体 図書の章
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=667225
その他の書誌記述
要約:Title screen
Forest ecosystems perform several functions that are necessary for maintaining the integrity of the planet's ecosystem. Forest fires are thus a significant danger to all living things. Forest fire fighting is a foreground task for modern society. Forest fire prediction is one of the most effective ways to solve this urgent issue. Modern prediction systems need to be developed in order to increase the quality of prediction; therefore, it is necessary to generalize knowledge about the processes occurring during a fire. This article discusses the key features of the processes prior to forest fuel ignition (drying and pyrolysis) and the ignition itself, as well as approaches to their experimental and mathematical modeling.
DOI:10.3390/pr10010089