GIS-based computer code for the evaluation of forest fire spread

被引:1
|
作者
Karpov, Alexander I. [1 ]
Telitsyn, Henry P. [2 ]
Efimova, Nadezhda O. [3 ]
Berdonosov, Victor D. [3 ]
Popovich, Sergey V. [1 ]
机构
[1] Inst Appl Mech, Izhevsk 426067, Russia
[2] Gassinski Model Forest Assoc, Khabarovsk 682350, Russia
[3] Komsomolsk on Amur State Univ Technol, Dept Comp Sci, Komsomolsk On Amur 681013, Russia
来源
THERMAL SCIENCE | 2007年 / 11卷 / 02期
关键词
forest fire; fire spread model; flame radiation; vegetation fuel; computer simulation; fire behavior system; geographic information system;
D O I
10.2298/TSCI0702259K
中图分类号
O414.1 [热力学];
学科分类号
摘要
The approach to the implementation of a computer code, based on the geographic information system, for the forest fire behavior prediction is presented. Consecutive steps are considered, which include the formulation of fire spread mathematical model, classification of vegetation fuels using the forest inventory data, approximation of fire perimeter propagation, and overall arrangement of fire simulation code.
引用
收藏
页码:259 / 270
页数:12
相关论文
共 50 条
  • [11] GIS-Based Forest Fire Risk Model: A Case Study in Laoshan National Forest Park, Nanjing
    Zhao, Pengcheng
    Zhang, Fuquan
    Lin, Haifeng
    Xu, Shuwen
    REMOTE SENSING, 2021, 13 (18)
  • [12] RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS
    Yin Hai-wei
    Kong Fan-hua
    Li Xiu-zhen
    CHINESE GEOGRAPHICAL SCIENCE, 2004, 14 (03) : 251 - 257
  • [13] GIS-BASED MULTI-CRITERIA DECISION ANALYSIS FOR FOREST FIRE RISK MAPPING
    Akay, A. E.
    Erdogan, A.
    4TH INTERNATIONAL GEOADVANCES WORKSHOP - GEOADVANCES 2017: ISPRS WORKSHOP ON MULTI-DIMENSIONAL & MULTI-SCALE SPATIAL DATA MODELING, 2017, 4-4 (W4): : 25 - 30
  • [14] RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS
    YIN Hai-wei1
    2. Institute of Applied Ecology
    3. Graduate School for International Development and Cooperation
    Chinese Geographical Science, 2004, (03) : 60 - 66
  • [15] Ubiquitous GIS-Based Forest Fire Susceptibility Mapping Using Artificial Intelligence Methods
    Razavi-Termeh, Seyed Vahid
    Sadeghi-Niaraki, Abolghasem
    Choi, Soo-Mi
    REMOTE SENSING, 2020, 12 (10)
  • [16] GIS-BASED FOREST FIRE RISK ASSESSMENT USING THE AHP AND FUZZY AHP METHODS
    Erdin, Ceren
    Caglar, Mehmet
    FRESENIUS ENVIRONMENTAL BULLETIN, 2021, 30 (6B): : 7217 - 7227
  • [17] Evaluation of Forest Fire Risk with GIS
    Sivrikaya, Fatih
    Saglam, Bulent
    Akay, Abdullah E.
    Bozali, Nuri
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2014, 23 (01): : 187 - 194
  • [18] RS and GIS-based forest fire risk zone mapping in da hinggan mountains
    Hai-wei Yin
    Fan-hua Kong
    Xiu-zhen Li
    Chinese Geographical Science, 2004, 14 : 251 - 257
  • [19] GIS-BASED FOREST FIRE SUSCEPTIBILITY ASSESSMENT BY RANDOM FOREST, ARTIFICIAL NEURAL NETWORK AND LOGISTIC REGRESSION METHODS
    Eslami, R.
    Azarnoush, M.
    Kialashki, A.
    Kazemzadeh, F.
    JOURNAL OF TROPICAL FOREST SCIENCE, 2021, 33 (02) : 173 - 184
  • [20] GIS-based forest fire risk mapping using the analytical network process and fuzzy logic
    Gheshlaghi, Hassan Abedi
    Feizizadeh, Bakhtiar
    Blaschke, Thomas
    JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2020, 63 (03) : 481 - 499