Journals / Kastamonu Üniversitesi Orman Fakültesi Dergisi / 2018 / Cilt: 18 - Sayı: 2

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

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

Pages
171–188
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Aim of study: Forest fuels are very critical for fire behavior models and hazard maps.
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Key Findings & Data:Relationship among wind speed, fuel moisture content, slope, and fuel type directs us to predict fire behavior of a given region.
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Conclusion & Impact: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.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Yangın simülasyonu · yangın şiddeti · yayılma oranı

Abstract

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.

Özet

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.

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Cite This Article

YAVUZ, M., SAĞLAM, B., KÜÇÜK, Ö., TÜFEKÇİOĞLU, A. (2018). Assessing forest fire behavior simulation using FlamMap software and remote sensing techniques in Western Black Sea Region, Turkey. Kastamonu Üniversitesi Orman Fakültesi Dergisi, Cilt: 18 - Sayı: 2, 171–188. https://ajindex.com/articles/180618

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References (5)

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