Experimental and numerical study on data-driven prediction for wildfire spread incorporating adaptive observation error adjustment-Reference-Cited by-同舟云学术

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Experimental and numerical study on data-driven prediction for wildfire spread incorporating adaptive observation error adjustment

Published:2024-09 Issue: Volume:148 Page:104230
ISSN:0379-7112
Container-title:Fire Safety Journal
language:en
Short-container-title:Fire Safety Journal

Author:

Wang Zheng,Li Xingdong,Zha Mengxia,Ji Jie

Funder

National Natural Science Foundation of China

University of Science and Technology of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Reference68 articles.

1. A physical model for wildland fires;Balbi;Combust. Flame,2009

2. Local measurements of wildland fire dynamics in a field-scale experiment;Mueller;Combust. Flame,2018

3. Combustion dynamics of large-scale wildfires;Liu;Proc. Combust. Inst.,2021

4. Validating the effect of fuel moisture content by a multivalued operator in a simplified physical fire spread model;Asensio;Environ. Model. Software,2023

5. Implementation of spatially-varying wind adjustment factor for wildfire simulations;Sutherland;Environ. Model. Software,2023

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