Flood risk analysis in the Tahtalı Dam Basin using the fuzzy logic method

Şevki Danacıoğlu; Merve Nur Öz

Makale detayları

Flood risk analysis in the Tahtalı Dam Basin using the fuzzy logic method

Yazarlar:

Şevki Danacıoğlu | Merve Nur Öz

Yayıncı:

Gumushane University

Ana Başlıklar:

Coğrafi Bilgi Sistemleri ve Mekansal Veri Modelleme | Coğrafi Bilgi Sistemleri | Doğal Afetler

Dergi:

Journal of Anatolian Geography Vol.2 Issue 1, pp.82-89

Belge Tipi:

Makale

Yayın Tarihi:

6/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001348426

pISSN:

3023-8978

Anahtar kelimeler:

Özet:

 Global climate change stands out as one of the most significant problems of todays world. This issue has led to a substantial increase in both the frequency and number of natural disasters. Over the past decade, approximately 2.5 million people worldwide have been affected by natural disasters related to floods. Today, it is of great importance to predict potential future flood events, to limit possible loss of life and property, to identify high-risk areas, and to plan necessary precautionary measures in these regions. Determining flood risk is a process that requires the simultaneous evaluation of many spatial factors. In this context, the use of Geographic Information Systems GIS has become an inevitable necessity in flood risk assessment. GIS is a vital tool for integrating, analyzing, and effectively managing various data. Several GIS-based methods are used in flood risk analysis. The Fuzzy Logic Method, which will be employed in our study, is a process that involves spatial conditions and is not limited to classical binary or multi-criteria logic. The Fuzzy Logic Method provides a rational foundation for solving problems in environments that are incomplete, uncertain, and not entirely reliable. Since the assessment of natural disasters such as flood risk often involves uncertainty, fuzzy logic has proven to be an effective tool in flood risk evaluations. In this context, the aim of the research is to determine the potential flood risk areas of the İzmir Tahtalı Dam Basin using the Fuzzy Logic Method. The results of the analysis indicate that the areas near the Tahtalı Dam Basin are under high risk of floods and inundation.

 Global climate change stands out as one of the most significant problems of todays world. This issue has led to a substantial increase in both the frequency and number of natural disasters. Over the past decade, approximately 2.5 million people worldwide have been affected by natural disasters related to floods. Today, it is of great importance to predict potential future flood events, to limit possible loss of life and property, to identify high-risk areas, and to plan necessary precautionary measures in these regions. Determining flood risk is a process that requires the simultaneous evaluation of many spatial factors. In this context, the use of Geographic Information Systems GIS has become an inevitable necessity in flood risk assessment. GIS is a vital tool for integrating, analyzing, and effectively managing various data. Several GIS-based methods are used in flood risk analysis. The Fuzzy Logic Method, which will be employed in our study, is a process that involves spatial conditions and is not limited to classical binary or multi-criteria logic. The Fuzzy Logic Method provides a rational foundation for solving problems in environments that are incomplete, uncertain, and not entirely reliable. Since the assessment of natural disasters such as flood risk often involves uncertainty, fuzzy logic has proven to be an effective tool in flood risk evaluations. In this context, the aim of the research is to determine the potential flood risk areas of the İzmir Tahtalı Dam Basin using the Fuzzy Logic Method. The results of the analysis indicate that the areas near the Tahtalı Dam Basin are under high risk of floods and inundation.

 Global climate change stands out as one of the most significant problems of todays world. This issue has led to a substantial increase in both the frequency and number of natural disasters. Over the past decade, approximately 2.5 million people worldwide have been affected by natural disasters related to floods. Today, it is of great importance to predict potential future flood events, to limit possible loss of life and property, to identify high-risk areas, and to plan necessary precautionary measures in these regions. Determining flood risk is a process that requires the simultaneous evaluation of many spatial factors. In this context, the use of Geographic Information Systems GIS has become an inevitable necessity in flood risk assessment. GIS is a vital tool for integrating, analyzing, and effectively managing various data. Several GIS-based methods are used in flood risk analysis. The Fuzzy Logic Method, which will be employed in our study, is a process that involves spatial conditions and is not limited to classical binary or multi-criteria logic. The Fuzzy Logic Method provides a rational foundation for solving problems in environments that are incomplete, uncertain, and not entirely reliable. Since the assessment of natural disasters such as flood risk often involves uncertainty, fuzzy logic has proven to be an effective tool in flood risk evaluations. In this context, the aim of the research is to determine the potential flood risk areas of the İzmir Tahtalı Dam Basin using the Fuzzy Logic Method. The results of the analysis indicate that the areas near the Tahtalı Dam Basin are under high risk of floods and inundation.

 Küresel iklim değişikliği günümüz dünyasının en büyük sorunlarından biri olarak karşımıza çıkmaktadır. Bu sorun doğal afetlerin sayısında ve sıklığında önemli ölçüde artışları yaşanmasına neden olmaktadır. Son on yılda dünya genelinde yaklaşık 2,5 milyon insan, taşkınlara bağlı doğal afetlerin etkileriyle karşı karşıya kalmaktadır. Günümüzde, gelecekte meydana gelebilecek potansiyel taşkın olaylarını öngörmek, muhtemel can ve mal kayıplarını sınırlamak, riskli bölgeleri tanımlamak ve bu bölgelerde alınacak önlemleri planlamak büyük bir öneme sahiptir. Taşkın riskinin belirlenmesi birçok mekânsal faktörün birlikte değerlendirilmesini gerektiren bir süreçtir. Bu bağlamda taşkın riskinin belirlenmesinde Coğrafi Bilgi Sistemlerinin CBS kullanımı kaçınılmaz bir gereklilik haline gelmiştir. CBS, çeşitli verilerin bir araya getirilmesi, analiz edilmesi, etkili bir şekilde yönetilmesi için önemli bir araçtır. Taşkın riski analizinde CBS temelli bazı yöntemler kullanılmaktadır. Çalışmamızda kullanılacak Bulanık Mantık Yöntemi, sadece klasik iki veya çok kriterli mantıkla sınırlı olmayan, mekânsal durumları da içeren bir süreçtir. Bulanık Mantık Yöntemi, eksik, kesin olmayan ve tamamen güvenilir olmayan bir ortamda sorunu çözme konusunda rasyonel temel sunan yöntemdir. Taşkın riski gibi doğal afetlerin hesaplanması da genellikle belirsizlik içermekte ve bu nedenle Bulanık Mantık, taşkın riski değerlendirmelerinde etkin bir araç olarak kullanılmaktadır. Bu bağlamda araştırmanın amacı, İzmir Tahtalı Barajı Havzasının potansiyel taşkın riski alanlarının Bulanık Mantık Yöntemi ile belirlenmesidir. Yapılan analiz sonucunda Tahtalı Barajı Havzasına yakın bölgelerin sel ve taşkın açısından yüksek risk altında olduğu görülmüştür.

Makale detayları

Flood risk analysis in the Tahtalı Dam Basin using the fuzzy logic method

Yazarlar:

Şevki Danacıoğlu | Merve Nur Öz

Yayıncı:

Gumushane University

Ana Başlıklar:

Coğrafi Bilgi Sistemleri ve Mekansal Veri Modelleme | Coğrafi Bilgi Sistemleri | Doğal Afetler

Dergi:

Journal of Anatolian Geography Vol.2 Issue 1, pp.82-89

Belge Tipi:

Makale

Yayın Tarihi:

6/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001348426

pISSN:

3023-8978

Flood Hazard

Fuzzy Logic

Geographic Information Systems

Tahtalı Dam BasinTaşkın Riski

Bulanık Mantık

Coğrafi Bilgi Sistemleri

Tahtalı Barajı Havzası

Sayı

Makale detayları

Yazarlar: Şevki Danacıoğlu | Merve Nur Öz

Yayıncı: Gumushane University

Ana Başlıklar: Coğrafi Bilgi Sistemleri ve Mekansal Veri Modelleme | Coğrafi Bilgi Sistemleri | Doğal Afetler

Dergi: Journal of Anatolian Geography Vol.2 Issue 1, pp.82-89

Belge Tipi: Makale

Yayın Tarihi: 6/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001348426

pISSN: 3023-8978

Sayı

Yazarlar:

Şevki Danacıoğlu | Merve Nur Öz

Yayıncı:

Gumushane University

Ana Başlıklar:

Coğrafi Bilgi Sistemleri ve Mekansal Veri Modelleme | Coğrafi Bilgi Sistemleri | Doğal Afetler

Dergi:

Journal of Anatolian Geography Vol.2 Issue 1, pp.82-89

Belge Tipi:

Makale

Yayın Tarihi:

6/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001348426

pISSN:

3023-8978