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ORIGINAL RESEARCH article

Front. For. Glob. Change
Sec. Fire and Forests
Volume 7 - 2024 | doi: 10.3389/ffgc.2024.1336716
This article is part of the Research Topic Spatial and Temporal Monitoring of Wildfire Hazard Under a Climate Change Environment: Prevention, Mitigation and Management View all 4 articles

Fire behavior simulation of Xintian forest fire in 2022 using WRF-Fire model

Provisionally accepted
Hongmei Hu Hongmei Hu 1*Xiangwen Deng Xiangwen Deng 1*Gui Zhang Gui Zhang 1*Lanbo Feng Lanbo Feng 1*Jun Long Jun Long 2*Ziming Li Ziming Li 3*Yu Zhu Yu Zhu 1*
  • 1 Central South University Forestry and Technology, Changsha, Hunan Province, China
  • 2 Hunan Forest & grassland fire monitoring, dispatch and evaluation Center, ChangSha, China
  • 3 Hunan Forest & grassland fire monitoring, dispatch and evaluation Center, Changsha 410000, Hunan, Changsha, China

The final, formatted version of the article will be published soon.

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

    Keywords: forest fire, coupled fire-atmosphere model, fire behavior simulation, Fire spread, WRF-FIRE, Xintian forest fire

    Received: 11 Nov 2023; Accepted: 03 Jul 2024.

    Copyright: © 2024 Hu, Deng, Zhang, Feng, Long, Li and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Hongmei Hu, Central South University Forestry and Technology, Changsha, 410000, Hunan Province, China
    Xiangwen Deng, Central South University Forestry and Technology, Changsha, 410000, Hunan Province, China
    Gui Zhang, Central South University Forestry and Technology, Changsha, 410000, Hunan Province, China
    Lanbo Feng, Central South University Forestry and Technology, Changsha, 410000, Hunan Province, China
    Jun Long, Hunan Forest & grassland fire monitoring, dispatch and evaluation Center, ChangSha, China
    Ziming Li, Hunan Forest & grassland fire monitoring, dispatch and evaluation Center, Changsha 410000, Hunan, Changsha, China
    Yu Zhu, Central South University Forestry and Technology, Changsha, 410000, Hunan Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.