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2014 | 23 | 1 |

Tytuł artykułu

Evaluation of forest fire risk with GIS

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
This paper uses GIS to describe and evaluate forest fire risk considering the most important factors affecting fire behavior at fine scales. The study was implemented in Yeşilova Forestry Enterprise in the Mediterranean city of Kahramanmaraş, Turkey. To determine an overall fire risk index for the study area, fire risk rating (extreme, high, moderate, or low) was assigned to decision variables (i.e. species composition, stand development stage, stand crown closure, slope, insolation, settlements, and roads) according to their risk potentials. Additionally, the visibility analysis of fire towers was carried out for monitoring of forests in the case study area. Finally, visibility analysis and a forest fire risk map were evaluated together for determining the efficiency of fire towers. Results indicated that more than half of the total forested area (65.7%) was classified as low category in the fire risk map. According to visibility analysis, the existing fire tower was able to monitor only 37% of forest areas; therefore, it was essential to consider new fire towers for monitoring the overall study area. After locating a potential new fire tower in the study area, it was found that about 71.8% of the area was with the visible zones of two fire towers.

Wydawca

-

Rocznik

Tom

23

Numer

1

Opis fizyczny

p.187-194,fig.,ref.

Twórcy

autor
  • Faculty of Forestry, Kahramanmaras Sutcu İmam University, Kahramanmaras, Turkey
autor
  • Faculty of Forestry, Artvin Coruh University, Artvin, Turkey
autor
  • Faculty of Forestry, Kahramanmaras Sutcu İmam University, Kahramanmaras, Turkey
autor
  • Faculty of Forestry, Kahramanmaras Sutcu İmam University, Kahramanmaras, Turkey

Bibliografia

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  • 17. SIVRIKAYA F., AKAY A.E., OĞUZ H., YENILMEZ N. Mapping forest fire danger zones using GIS: A Case Study from Kahramanmaraş, In VI. International Symposium Ecology and Environmental Problems. Antalya (Turkey), 17-20 November, 2011.
  • 18. GAO X., FEI X., XIE H. Forest fire risk zone evaluation based on high spatial resolution RS image in Liangyungang Huaguo Mountain Scenic Spot. In: IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services. Fuzhou, (China), 2011.
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Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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