Simulation of Canyon Wind Field and Forest Fire Spread Based on WindNinja Model

doi:10.13466/j.cnki.lczyyj.2024.05.014

Abstract

Abstract:

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.

Key words: canyon wind field, forest fire spread simulation, WindNinja model, FARSITE model

CLC Number:

S762

WANG Ao, WANG Chenghu, GAO Guiyun, WANG Mingyu, SU Haiyan, WU Ningyu. Simulation of Canyon Wind Field and Forest Fire Spread Based on WindNinja Model[J]. Forest and Grassland Resources Research, 2024, (5): 128-137.

Figures/Tables 7

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日期	时间	温度/℃	湿度/%	风速/(m/s)	风向/(°)
2020-03-29	19:00	12.99	42.58	3.69	214.97
2020-03-29	20:00	11.73	44.16	3.55	218.02
2020-03-29	21:00	10.33	45.27	3.23	217.10
2020-04-01	19:00	11.13	48.13	2.62	208.28

日期	时间	风场	重合区面积/km²	过模拟区面积/km²	未模拟面积/km²	SC系数
2020-03-29	19:00	地表平均风场	59.79	18.52	6.13	0.83
2020-03-29	19:00	WindNinja模拟风场	61.99	4.37	3.94	0.94
2020-03-30	19:00	地表平均风场	86.36	58.97	10.83	0.71
2020-03-30	19:00	WindNinja模拟风场	85.66	35.82	11.56	0.78
2020-04-01	19:00	地表平均风场	78.48	203.65	22.46	0.40
2020-04-01	19:00	WindNinja模拟风场	79.74	177.55	21.20	0.44