GIS-based forest fire risk determination for Milas district, Turkey

被引:36
|
作者
Cetin, Mehmet [1 ]
Pekkan, Ozge Isik [2 ]
Kavlak, Mehtap Ozenen [2 ]
Atmaca, Ilker [3 ]
Nasery, Suhrabuddin [2 ]
Derakhshandeh, Masoud [4 ]
Cabuk, Saye Nihan [5 ]
机构
[1] Ondokuz Mayis Univ, Fac Architecture, Dept City & Reg Planning, Samsun, Turkey
[2] Eskisehir Tech Univ, Inst Grad Programs, Dept Remote Sensing & Geog Informat Syst, Iki Eylul Campus, TR-26555 Tepebasi, Eskisehir, Turkey
[3] Yozgat Bozok Univ, Fac Engn & Architecture, Dept City & Reg Planning, Erdogan Akdag Campus, TR-66900 Yozgat, Turkey
[4] Istanbul Gelisim Univ, Fac Architecture & Engn, Dept Civil Engn, TR-34310 Istanbul, Turkey
[5] Eskisehir Tech Univ, Dept Geodesy & Geog Informat Technol, Inst Earth & Space Sci, Iki Eylul Kampusu, TR-26555 Tepebasi, Eskisehir, Turkey
关键词
Burn area index; Forest fire; GIS; Normalized burn ratio index; Risk assessment; WEATHER; SLOPE; INDEX; PATTERNS; IGNITION; SPREAD;
D O I
10.1007/s11069-022-05601-7
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Forest fires are highly destructive phenomena in both ecological and economic terms. Therefore, it is significant to develop measures to detect and mitigate them. In this study, the forest fire risk map of the Milas district of Turkey was studied using geographical information systems and remote sensing methods. In the first part of the study, the forest fire risk map of the area was developed via a weighted overlay technique with analysis of stand characteristics, topographic features, distance from intermittent streams and built-up environment. According to the resulting forest fire risk map, extremely low-, low-, medium-, high- and extremely high-risk classes covered 0%, 0.5%, 65%, 30% and 0.5% of the forested areas in Milas district of Turkey, respectively. In the second part, the location of a major forest fire, which took place in 2007 in the study area, was determined using the normalized difference vegetation index, the normalized burn ratio, and the burn area index. When compared with the forest fire risk map, it was revealed that 45% of the burned areas in 2007 fell into the high-risk class, while 51% of it was from the extremely high-risk zones. Moreover, the forest risk map was compared with eleven forest fire cases between 2013 and 2019. The results show that eight of these fires took place in high-risk territories. According to these results, it was concluded that the created risk map coincides with the fire incidents.
引用
收藏
页码:2299 / 2320
页数:22
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] Forest fire spread modelling: A practical GIS-based approach
    Dumond, Yves
    EUROPEAN SIMULATION AND MODELLING CONFERENCE 2007, 2007, : 547 - 552
  • [13] GIS-based computer code for the evaluation of forest fire spread
    Karpov, Alexander I.
    Telitsyn, Henry P.
    Efimova, Nadezhda O.
    Berdonosov, Victor D.
    Popovich, Sergey V.
    THERMAL SCIENCE, 2007, 11 (02): : 259 - 270
  • [14] 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
  • [15] GIS-based forest fire risk mapping using the analytical network process and fuzzy logic
    Gheshlaghi, Hassan Abedi
    Feizizadeh, Bakhtiar
    Blaschke, Thomas
    JOURNAL OF PLANNING LITERATURE, 2022, 37 (01) : 179 - 179
  • [16] Evaluation of forest fire risk based on GIS
    Key Laboratory for Silviculture and Conservation, Beijing Forestry University, Beijing 100083, China
    不详
    不详
    不详
    Beijing Linye Daxue Xuebao, 2008, SUPPL. 1 (40-45):
  • [17] A GIS-BASED DECISION SUPPORT SYSTEM FOR FOREST MANAGEMENT PLANS IN TURKEY
    Sivrikaya, Fatih
    Baskent, Emin Zeki
    Sevik, Ugur
    Akgul, Caner
    Kadiogullari, All Ihsan
    Degermenci, Ahmet Salih
    ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2010, 9 (07): : 929 - 937
  • [18] Forest fire mapping: a comparison between GIS-based random forest and Bayesian models
    Farzaneh Noroozi
    Gholamabbas Ghanbarian
    Roja Safaeian
    Hamid Reza Pourghasemi
    Natural Hazards, 2024, 120 : 6569 - 6592
  • [19] Forest fire mapping: a comparison between GIS-based random forest and Bayesian models
    Noroozi, Farzaneh
    Ghanbarian, Gholamabbas
    Safaeian, Roja
    Pourghasemi, Hamid Reza
    NATURAL HAZARDS, 2024, 120 (07) : 6569 - 6592
  • [20] Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region
    Sivrikaya, Fatih
    Kucuk, Omer
    ECOLOGICAL INFORMATICS, 2022, 68