AUTHOR=Hu Hongmei , Deng Xiangwen , Zhang Gui , Feng Lanbo , Long Jun , Li Ziming , Zhu Yu , Wang Yiying TITLE=Fire behavior simulation of Xintian forest fire in 2022 using WRF-fire model JOURNAL=Frontiers in Forests and Global Change VOLUME=7 YEAR=2024 URL=https://www.frontiersin.org/journals/forests-and-global-change/articles/10.3389/ffgc.2024.1336716 DOI=10.3389/ffgc.2024.1336716 ISSN=2624-893X ABSTRACT=Introduction

The behavior of forest fire is a complex phenomenon, and accurate simulation of forest fire is conducive to emergency response management after ignition. In order to further understand the characteristics of forest fire spread and the applicability of WRF-Fire in China, which is a coupled fire-atmospheric wildfire model, this study simulated a high-intensity forest fire event that occurred on October 17, 2022 in Xintian County, southern Hunan Province.

Methods

Based on the fire-atmosphere coupled WRF-Fire model, we used high-resolution geographic information, meteorological observation and fuel classification data to analyze the forest fire behavior. At the same time, the simulation results are compared with the fire burned area observed by satellite remote sensing forest fire monitoring data.

Results

The study found that, the simulated wind speed, direction and temperature trends are similar to the observation results, but the simulated wind speed is overestimated, the dominant wind direction is N, and the temperature is slightly underestimated. The simulated wind field is close to the actual wind field, and the simulation results can show the spatial and temporal variation characteristics of the local wind field under complex terrain while obtaining the high-resolution wind field. The simulated fire burned area is generally overestimated, spreading to the north and southwest compared with the observed fires, but it can also capture the overall shape and spread trend of the fire well.

Discussion

The results show that the model can accurately reproduce the real spread of fire, and it is more helpful to forest fire management.