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
  • [1] GIS-based forest fire risk determination for Milas district, Turkey
    Mehmet Cetin
    Özge Isik Pekkan
    Mehtap Ozenen Kavlak
    Ilker Atmaca
    Suhrabuddin Nasery
    Masoud Derakhshandeh
    Saye Nihan Cabuk
    Natural Hazards, 2023, 119 : 2299 - 2320
  • [2] GIS-based forest fire spread simulation
    Li, Yuanyuan
    Weng, Wenguo
    Yuan, Hongyong
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2012, 52 (12): : 1726 - 1730
  • [3] Forest Fire Spread Risk in Yanqing District of Beijing Based on GIS
    Wang B.
    Yang X.
    Jiang C.
    Liu D.
    Chen F.
    Bai Y.
    Liu X.
    Linye Kexue/Scientia Silvae Sinicae, 2023, 59 (08): : 90 - 101
  • [4] GIS-based landscape vulnerability assessment to forest fire susceptibility of Rudraprayag district, Uttarakhand, India
    Mehebub Sahana
    Tariq Ahmad Ganaie
    Environmental Earth Sciences, 2017, 76
  • [5] GIS-based landscape vulnerability assessment to forest fire susceptibility of Rudraprayag district, Uttarakhand, India
    Sahana, Mehebub
    Ganaie, Tariq Ahmad
    ENVIRONMENTAL EARTH SCIENCES, 2017, 76 (20)
  • [6] 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
  • [7] 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
  • [8] 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
  • [9] 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
  • [10] 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