Forest and Grassland Resources Research >
Simulation of Canyon Wind Field and Forest Fire Spread Based on WindNinja Model
Received date: 2024-06-15
Revised date: 2024-09-15
Online published: 2025-04-18
This study focuses on the effect of local wind variability on the spread of forest fires in high mountain and valley areas where forest fire accidents occur frequently,especially in complex terrain.Take the March 28 forest fire in Muli Tibetan Autonomous County,Liangshan Yi Autonomous Prefecture,Sichuan Province,as a case study,the WindNinja model was applied to simulate the canyon wind field,which was input into the FARSITE forest fire spread model.Both the average surface and the canyon wind fields,as simulated by WindNinja,were respectively coupled with the FARSITE forest fire spread simulation.This comparison aimed to evaluate how the canyon wind field,as simulated by WindNinja,affects trends in forest fire spread.Simulation results show that with the Silhouette Coefficient(SC)as an evaluation index,the accuracy of forest fire spread simulation,as influenced by canyon wind field simulated by the WindNinja model will be improved at 19:00 on March 29,19:00 on March 30 and 19:00 on April 1.The three time points were 0.94,0.78 and 0.44,respectively,which were 0.12,0.07 and 0.04 higher than the average surface wind field,respectively.The results show that the coupling of the WindNinja canyon wind field simulation with the FARSITE forest fire spread model effectively simulates related fire behavior.Combined with the forest fire spread model using WindNinja simulated wind field,the parts of wind field are more accurately considered.The simulation results are more consistent with the actual range,and have higher similarity with the average surface wind field.
Ao WANG , Chenghu WANG , Guiyun GAO , Mingyu WANG , Haiyan SU , Ningyu WU . Simulation of Canyon Wind Field and Forest Fire Spread Based on WindNinja Model[J]. Forest and Grassland Resources Research, 2024 , 0(5) : 128 -137 . DOI: 10.13466/j.cnki.lczyyj.2024.05.014
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