Taşkın Duyarlılık Haritalarının Oluşturulmasında Kullanılan Yöntemler

Year 2022, , 191 - 209, 18.09.2022

Çağla Melisa Kaya

https://doi.org/10.48123/rsgis.1129606

Cited By: 2

Abstract

Son yüzyılda taşkın afetinin ön görülebilen muhtemel zararları ve etkilerini minimize etmek için yapılan bütüncül taşkın yönetimi yaklaşımları arasında taşkın duyarlılık haritalarının oluşturulması önemli bir yere sahiptir. Bu bağlamda, bölgesel ölçekte taşkın duyarlılık analizleri pek çok araştırmacı tarafından araştırma konusu olmuştur. Bu çalışmada taşkın duyarlılık haritalarının üretilmesinde kullanılan hesaplama yöntemleri irdelenmiştir. Bu kapsamda taşkın duyarlılığı ile ilgili 2014-2022 yılları arasında yayımlanmış 155 çalışma değerlendirilmiştir. İncelenen çalışmalarda taşkın duyarlılık değerlendirmelerinde 125’den fazla yöntem kullanıldığı belirlenmiştir. Bu yöntemler arasında çok kriterli karar verme (ÇKKV) yöntemleri, fiziksel tabanlı hidrolojik modeller, istatistiksel yöntemler ve çeşitli esnek hesaplama yöntemleri ön plana çıkmaktadır. Geleneksel istatistiksel yöntemlerin ve çok kriterli karar verme yöntemlerinin kullanım oranının araştırmacılar arasında halihazırda yüksek olduğu, ancak yıllar içinde geleneksel yaklaşımlardaki uzman görüşlerinin temel alındığı yöntemlerden, büyük verilere dayalı istatistiksel ve makine öğrenimi yöntemlerine doğru evirilmiş olduğu görülmüştür. Bununla birlikte son yıllarda makine öğrenimi, bulanık mantık, metasezgisel optimizasyon algoritmaları ve sezgisel arama algoritmalarının duyarlılık haritalarının oluşturulmasında ön plana çıktığı belirlenmiştir.

Keywords

Taşkın duyarlılık haritalaması, Esnek hesaplama, ÇKKV, İstatistiksel yöntemler, Makine öğrenimi, Metasezgisel optimizasyon algoritmaları

Methods Used in Flood Susceptibility Mapping

Abstract

In recent years, flood susceptibility mapping has an important place among the studies carried out to take precautions against floods and mitigate the damages and possible negative effects caused by floods. In this context, flood susceptibility analysis, especially on a regional scale, has been the subject of research by many researchers. In this study, the methods used in flood susceptibility mapping were investigated. 155 studies on flood susceptibility published between 2014 and 2022 were evaluated. In general, the methods used in the determination and evaluation of flood susceptibility are multi-criteria decision making (MCDM) methods, physically based hydrological models, statistical methods and various soft computing methods. Although the use rate of traditional statistical methods and multi-criteria decision making methods is already high among researchers, the methods used in flood susceptibility analysis have evolved over the years from traditional human judgments to statistical methods based on big data and machine learning methods. In the reviewed studies, it has been observed that machine learning, fuzzy logic, metaheuristic optimization algorithms and heuristic search algorithms, which are soft computing methods, have been widely used in the flood susceptibility mapping in recent years.

Keywords

Flood susceptibility mapping, Soft computing, MCDM, Statistical methods, Machine learning, Metaheuristic optimization algorithms

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