Streamlined wildland-urban interface fire tracing (SWUIFT): Modeling wildfire spread in communities

被引:15
|
作者
Masoudvaziri, Nima [1 ]
Bardales, Fernando Szasdi [1 ]
Keskin, Oguz Kaan [1 ]
Sarreshtehdari, Amir [1 ]
Sun, Kang [1 ]
Elhami-Khorasani, Negar [1 ]
机构
[1] Univ Buffalo, Buffalo, NY USA
关键词
Wildfires; Wildland-urban interface; Community; Fire spread; Modeling; SIMULATION-MODEL; FIREBRAND GENERATION; FULL-SCALE; IGNITION; COMPONENTS; FUEL; VEGETATION; LANDFIRE; SIZE; MASS;
D O I
10.1016/j.envsoft.2021.105097
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The wildland-urban interface (WUI) is defined as a geographic area where human developments and flammable vegetation merge in a wildfire-prone environment. Losses due to wildfire have been rising in the past decade, attributed to changes in vegetation growth, fuel availability, and increased land developments in WUI. This paper studies the process of wildfire spread inside WUI communities. The fire spread rate within WUI communities is determined for nine wildfires that were ranked among the most destructive wildfires in North America. An improved quasi-empirical model that considers radiation and fire spotting as modes of fire spread inside a community is proposed. The new model is validated using the documented spread rates during the 2007 Witch and Guejito fires and the 2017 Tubbs fire. The proposed model is computationally efficient and can be used to quantify fire spread rate and the number of affected structures inside a community during a wildfire event.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Planning for Wildfire in the Wildland-Urban Interface: A Guide for Western Communities
    Miller, Stephen R.
    [J]. URBAN LAWYER, 2017, 49 (02): : 207 - 266
  • [2] Traffic Modeling for Wildland-Urban Interface Fire Evacuation
    Intini, Paolo
    Ronchi, Enrico
    Gwynne, Steven
    Pel, Adam
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2019, 145 (03)
  • [3] From "Wildland-Urban Interface" to "Wildfire Interface Zone" using dynamic fire modelling
    Tolhurst, K. G.
    Duff, T. J.
    Chong, D. M.
    [J]. 20TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2013), 2013, : 290 - 296
  • [4] Wildland-Urban Interface Residents' Relationships with Wildfire: Variation Within and Across Communities
    Meldrum, James R.
    Brenkert-Smith, Hannah
    Champ, Patricia A.
    Falk, Lilia
    Wilson, Pamela
    Barth, Christopher M.
    [J]. SOCIETY & NATURAL RESOURCES, 2018, 31 (10) : 1132 - 1148
  • [5] Modelling of wildland-urban interface fire spread with the heterogeneous cellular automata model
    Jiang, Wenyu
    Wang, Fei
    Fang, Linghang
    Zheng, Xiaocui
    Qiao, Xiaohui
    Li, Zhanghua
    Meng, Qingxiang
    [J]. Environmental Modelling and Software, 2021, 135
  • [6] Modelling of wildland-urban interface fire spread with the heterogeneous cellular automata model
    Jiang, Wenyu
    Wang, Fei
    Fang, Linghang
    Zheng, Xiaocui
    Qiao, Xiaohui
    Li, Zhanghua
    Meng, Qingxiang
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2021, 135
  • [7] Assessing fire risk in the wildland-urban interface
    Haight, RG
    Cleland, DT
    Hammer, RB
    Radeloff, VC
    Rupp, TS
    [J]. JOURNAL OF FORESTRY, 2004, 102 (07) : 41 - 48
  • [8] Wildfire risk for global wildland-urban interface areas
    Chen, Bin
    Wu, Shengbiao
    Jin, Yufang
    Song, Yimeng
    Wu, Chao
    Venevsky, Sergey
    Xu, Bing
    Webster, Chris
    Gong, Peng
    [J]. NATURE SUSTAINABILITY, 2024, 7 (04) : 474 - 484
  • [9] Demographic Trends, the Wildland-Urban Interface, and Wildfire Management
    Hammer, Roger B.
    Stewart, Susan I.
    Radeloff, Volker C.
    [J]. SOCIETY & NATURAL RESOURCES, 2009, 22 (08) : 777 - 782
  • [10] Optimal design of microgrids to improve wildfire resilience for vulnerable communities at the wildland-urban interface
    Perera, A. T. D.
    Zhao, Bingyu
    Wang, Zhe
    Soga, Kenichi
    Hong, Tianzhen
    [J]. APPLIED ENERGY, 2023, 335