MODELING A HISTORIC FOREST FIRE USING GIS AND FARSITE

被引:0
|
作者
Williams, Thomas M. [1 ]
Williams, Brian J. [1 ]
Song, Bo [1 ]
机构
[1] Clemson Univ, Coll Agr Forestry & Life Sci, Clemson, SC 29634 USA
来源
MATHEMATICAL AND COMPUTATIONAL FORESTRY & NATURAL-RESOURCE SCIENCES | 2014年 / 6卷 / 02期
关键词
19th century forest fire; Fire visualization; mega-fire; Hinekley MN;
D O I
暂无
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Recent major wildfires may result from a combination of climate change and fuel buildup due to fire exclusion policies of the last century. Are such fires unique to the forests and climate of the 21st century or are they similar to historic fires? Historic fires are recorded primarily by eye witness accounts which seldom contain information needed to examine them with modern fire management tools. The September 1, 1894 fire near Hinckley, Minnesota has well documented accounts from many survivors that allow position of the flame front to be established for a number of times throughout the fire. These accounts allowed us to calibrate a FARSITE model to represent the progression of that fire. FARSITE is a modern fire spread rate simulation model. It requires spatial layers of elevation, slope, aspect, timber type, derived layers of fuel type, canopy cover, stand height, canopy base height, canopy bulk density, duff and coarse woody debris. In this paper we will discuss how we were able to combine present GIS data, historical map data, and present ecosystem properties to provide data needed for these layers. GIS output of FARSITE spread predictions were used to match flame front position to eyewitness accounts and model parameters (primarily, wind speed and direction and fuel model spread rate adjustments) were altered to produce a flame front location and time that matched eyewitness location and timing.
引用
收藏
页码:80 / 88
页数:9
相关论文
共 50 条
  • [1] Modeling a historic forest fire using GIS and FARSITE
    1600, Contemporary Journal Concept Press (06):
  • [2] The research on three-dimensional simulation of forest fire by FARSITE for GIS application
    Li, Jian Wei, 1600, Sila Science, University Mah Mekan Sok, No 24, Trabzon, Turkey (32):
  • [3] Using lidar-Derived fuel maps with farsite for fire behavoir modeling
    Mutlu, Muge
    Popescu, Sorin
    American Society for Photogrammetry and Remote Sensing - ASPRS Annual Conference 2007: Identifying Geospatial Solutions, 2007, 2 : 452 - 458
  • [4] Forest fire spread simulation based on VIIRS active fire data and FARSITE model
    Benben X.
    Weiye W.
    Liangfu C.
    Jinhua T.
    Xuanyu J.
    Chengjie Z.
    Meng F.
    National Remote Sensing Bulletin, 2022, 26 (08) : 1575 - 1588
  • [5] Applying GPU Parallel Technology to Accelerate FARSITE Forest Fire Simulator
    Carrillo, Carlos
    Cortes, Ana
    Cencerrado, Andres
    Espinosa, Antonio
    Margalef, Tomas
    ADVANCES IN FOREST FIRE RESEARCH 2018, 2018, : 913 - 921
  • [6] Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques
    Adab, Hamed
    Kanniah, Kasturi Devi
    Solaimani, Karim
    NATURAL HAZARDS, 2013, 65 (03) : 1723 - 1743
  • [7] Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques
    Hamed Adab
    Kasturi Devi Kanniah
    Karim Solaimani
    Natural Hazards, 2013, 65 : 1723 - 1743
  • [8] Forest Fire Risk Zone Modeling Using Logistic Regression and GIS: An Iranian Case Study
    Mohammadi, Frouzan
    Bavaghar, Mahtab Pir
    Shabanian, Naghi
    SMALL-SCALE FORESTRY, 2014, 13 (01) : 117 - 125
  • [9] Forest Fire Risk Zone Modeling Using Logistic Regression and GIS: An Iranian Case Study
    Frouzan Mohammadi
    Mahtab Pir Bavaghar
    Naghi Shabanian
    Small-scale Forestry, 2014, 13 : 117 - 125
  • [10] Synergy of GIS and Remote Sensing Data in Forest Fire Danger Modeling
    Hernandez-Leal, Pedro A.
    Gonzalez-Calvo, Alejandro
    Arbelo, Manuel
    Barreto, Africa
    Alonso-Benito, Alfonso
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2008, 1 (04) : 240 - 247