Assessing forest fire behavior simulation using FlamMap software and remote sensing techniques in Western Black Sea Region, Turkey

Mehmet Yavuz; Bülent Sağlam; Ömer Küçük; Aydın Tüfekçioğlu

doi:10.17475/kastorman.459698

TR EN

Batı Karadeniz Bölgesinde FlamMap yazılımı ve uzaktan algılama teknikleri kullanılarak orman yangın davranışı simülasyonunun değerlendirilmesi

Öz

Çalışmanın amacı: Yanıcı madde tipleri ve tüketilebilir yanıcı madde miktarı yangın davranışının modellenmesinde, yangın şiddetinin hesaplanmasında ve yangın tehlike riskinin haritalanmasında çok önemlidir. Yanıcı madde tipi, yanıcı madde nem içeriği, rüzgâr hızı ve eğim arasındaki ilişki, belirli bir bölgenin yangın davranışının tahmin edilmesinde kullanılan önemli parametrelerden bazılarıdır. Bu çalışmada, Bayam Orman İşletme Şefliğine ait ormanlarda yanıcı madde özellikleri, hava halleri ve bazı topoğrafik özellikler kullanılarak yangın şiddeti ve yangın yayılma oranı haritaları ile yangın risk haritaları uzaktan algılama teknikleri ve FlamMap yazılımı yardımıyla geliştirilmiştir.

Çalışma alanı: Çalışma alanı Türkiye’nin batı Karadeniz bölgesinde bulunan Kastamonu ili, Taşköprü ilçesi, Bayam Orman İşletme Şefliği sınırlarını kapsamaktadır.

Materyal ve Yöntem: Çalışma alanının yanıcı madde miktarını tahmin etmek ve haritalamak için yanıcı madde modelleri kullanılmıştır. FlamMap yazılımı kullanılarak yanıcı madde miktarı, yanıcı madde nem içeriği, rüzgâr hızı ve eğim parametrelerine bağlı olarak yayılma oranı ve yangın şiddeti tahmin edilmiştir. Geçmişte çıkan yangın verileri ile baş yangın şiddeti haritaları çakıştırılarak potansiyel yangın tehlikesi olan yerler CBS ve uzaktan algılama teknikleri kullanarak belirlenmiştir.

Sonuçlar: Bölgenin %20,0’sının düşük (<2 m dakika-1), %43,2 'inin orta (2-15 m dakika-1), %12,0' ü yüksek (15-30 m dakika-1) ve %24,8’si sırasıyla, çok yüksek (> 30 m.dakika-1) yayılma oranına sahiptir. Yangın şiddeti haritasına göre, alanın %60,7’unun düşük (0-350 kW m-1), %24,9’nin orta (350-1700 kW m-1), %1,3'ü yüksek (1700-3500 kW m -1) ve %13,0'si çok yüksek (> 3500 kW m-1) yangın şiddeti sınıfında yer almaktadır.

Önemli Vurgular: Bu çalışmayla çalışma alanına ait yanıcı madde türlerinin mekansal dağılımı haritalanmış ve yangın davranışı parametrelerinden üçü (baş yangın şiddeti, yayılma oranı ve alev yüksekliği) uzaktan algılama ve CBS teknikleri kullanılarak tahmin edilmiştir. Daha önce yanan alanların yangın davranış modeli çıktı verileriyle uzamsal olarak çakıştırılması sonucunda, en çok yangına maruz kalan alanların % 40-70 kapalılığındaki karışık genç Anadolu karaçamı ile sarıçam meşcereleri ile kapalılığı %70'den fazla olan genç Anadolu karaçam meşcerelerinin bulunduğu alanlarda olduğu sonucuna varılmıştır.

Anahtar Kelimeler

Yangın simülasyonu,yangın şiddeti,yayılma oranı,yangın risk haritası,Bayam Orman İşletme Şefliğ

Assessing forest fire behavior simulation using FlamMap software and remote sensing techniques in Western Black Sea Region, Turkey

Öz

Aim of study: Forest fuels are very critical for fire behavior models and hazard maps. Relationship among wind speed, fuel moisture content, slope, and fuel type directs us to predict fire behavior of a given region. For this study, we evaluated fire behavior parameters such as fireline intensity and rate of fire spread using the fuel moisture content, slope, fuel load, and wind speed for the Bayam Forest District with the help of remote sensing techniques and FlamMap software.

Area of study: The study area is located in Bayam Forest District in the city of Taskopru, Kastamonu, a Western Black Sea region of Turkey.

Material and Methods: In order to estimate and map forest fuel load of the study area, fuel models were developed using the parameters of the average vegetation height, 1-hr, 10-hr, and 100-hr fuel load, foliage, total fuel load, litter load and litter depth. Three basic fire descriptors (fireline intensity, rate of fire spread, and flame length) were calculated using FlamMap software with the parameters fuel load, wind speed, fuel moisture, and slope. Using the descriptors above, the historical fire data was overlaid with the fireline intensity maps to determine fire potential areas within the remote sensing and GIS framework.

Main results: The results of this study showed that 20.0% of the region had low (<2 m min-1), 43.2% had moderate (2-15 m min-1), 12.0% had high (15-30 m min-1), and 24.8% had very high (>30 m min-1) rate of fire spread, respectively. The fireline intensity map showed that 60.7% of the area was in low (0-350 kW m-1), 24.9% was in moderate (350-1700 kW m-1), 1.3% was in high (1700-3500 kW m-1), and 13.0% was in very high (>3500 kW m-1) fireline intensity.

Highlights: The spatial extent of fuel types was observed and three of the potential fire behavior predictors (fire intensity, rate of fire spread and flame length) were estimated using remote sensing and GIS techniques. The overlaid historical fire data showed that the most fire-prone areas are in the mixed young Anatolian black pine - Scots pine tree stands that have 40-70% canopy cover and that are in the young Anatolian black pine tree stands that have more than 70% canopy cover.

Anahtar Kelimeler

Fire simulation,fire risk mapping,rate of fire spread,fireline intensity,Bayam Forest District

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yazarlar

Mehmet Yavuz ^*

Bülent Sağlam Bu kişi benim

Ömer Küçük Bu kişi benim

Aydın Tüfekçioğlu Bu kişi benim

Yayımlanma Tarihi

15 Eylül 2018

Gönderilme Tarihi

19 Şubat 2018

Kabul Tarihi

18 Haziran 2018

Yayımlandığı Sayı

Yıl 2018 Cilt: 18 Sayı: 2

DOI

https://doi.org/10.17475/kastorman.459698

IZ

https://izlik.org/JA47DW94WZ

APA

Yavuz, M., Sağlam, B., Küçük, Ö., & Tüfekçioğlu, A. (2018). Assessing forest fire behavior simulation using FlamMap software and remote sensing techniques in Western Black Sea Region, Turkey. Kastamonu University Journal of Forestry Faculty, 18(2), 171-188. https://doi.org/10.17475/kastorman.459698

AMA

1.Yavuz M, Sağlam B, Küçük Ö, Tüfekçioğlu A. Assessing forest fire behavior simulation using FlamMap software and remote sensing techniques in Western Black Sea Region, Turkey. Kastamonu University Journal of Forestry Faculty. 2018;18(2):171-188. doi:10.17475/kastorman.459698

Chicago

Yavuz, Mehmet, Bülent Sağlam, Ömer Küçük, ve Aydın Tüfekçioğlu. 2018. “Assessing forest fire behavior simulation using FlamMap software and remote sensing techniques in Western Black Sea Region, Turkey”. Kastamonu University Journal of Forestry Faculty 18 (2): 171-88. https://doi.org/10.17475/kastorman.459698.

EndNote

Yavuz M, Sağlam B, Küçük Ö, Tüfekçioğlu A (01 Eylül 2018) Assessing forest fire behavior simulation using FlamMap software and remote sensing techniques in Western Black Sea Region, Turkey. Kastamonu University Journal of Forestry Faculty 18 2 171–188.

IEEE

[1]M. Yavuz, B. Sağlam, Ö. Küçük, ve A. Tüfekçioğlu, “Assessing forest fire behavior simulation using FlamMap software and remote sensing techniques in Western Black Sea Region, Turkey”, Kastamonu University Journal of Forestry Faculty, c. 18, sy 2, ss. 171–188, Eyl. 2018, doi: 10.17475/kastorman.459698.

ISNAD

Yavuz, Mehmet - Sağlam, Bülent - Küçük, Ömer - Tüfekçioğlu, Aydın. “Assessing forest fire behavior simulation using FlamMap software and remote sensing techniques in Western Black Sea Region, Turkey”. Kastamonu University Journal of Forestry Faculty 18/2 (01 Eylül 2018): 171-188. https://doi.org/10.17475/kastorman.459698.

JAMA

1.Yavuz M, Sağlam B, Küçük Ö, Tüfekçioğlu A. Assessing forest fire behavior simulation using FlamMap software and remote sensing techniques in Western Black Sea Region, Turkey. Kastamonu University Journal of Forestry Faculty. 2018;18:171–188.

MLA

Yavuz, Mehmet, vd. “Assessing forest fire behavior simulation using FlamMap software and remote sensing techniques in Western Black Sea Region, Turkey”. Kastamonu University Journal of Forestry Faculty, c. 18, sy 2, Eylül 2018, ss. 171-88, doi:10.17475/kastorman.459698.

Vancouver

1.Mehmet Yavuz, Bülent Sağlam, Ömer Küçük, Aydın Tüfekçioğlu. Assessing forest fire behavior simulation using FlamMap software and remote sensing techniques in Western Black Sea Region, Turkey. Kastamonu University Journal of Forestry Faculty. 01 Eylül 2018;18(2):171-88. doi:10.17475/kastorman.459698