Kavramsal Hidrolojik Modellerin Farklı Optimizasyon Algoritmaları İle Kalibrasyonu - Calibration of Conceptual Hydrological Model by Different Optimization Algorithms

Kavramsal Hidrolojik Modellerin Farklı Optimizasyon Algoritmaları İle Kalibrasyonu Mevcut çalışmada kavramsal hidrolojik modellerin optimizasyon metotları yardımıyla kalibrasyonu ele alınmıştır. Sezgiye dayalı yenilikçi optimizasyon algoritmaları doğada var olan olayların matematiksel olarak taklit edildiği çözüm yöntemleridir. Bu tip yöntemler, optimum çözümü araştırırken rastgele ve olasıksal parametreler kullanırlar. Bu yöntemlerden av arama, yapay arı kolonisi ve ateş böceği algoritmaları literatürde yer alan GR4J, GR2M kavramsal hidrolojik modellerinin kalibrasyonu için kullanılmış, farklı gözlem istasyonlarından alınan veriler değerlendirilerek yöntemlerin optimizasyon problemi üzerindeki etkinlikleri araştırılmıştır. Calibration of Conceptual Hydrological Model by Different Optimization AlgorithmsIn this study, calibration of conceptual hydrological models is carried out by means of optimization methods. Meta-Heuristic inonative optimization algorithms are the methods in which the natural events have been imitated mathematically. These type of methods use random and probabilistic parameters to investigate optimal solutions. Hunting search, artificial bee colony and firefly algorithms are used for calibration of GR4J, GR2M conceptual hydrological models and the efficiency of the methods on the optimization problems is investigated by evaluating the data from the different gauging stations.

Anahtar Kelimeler:

GR4J, GR2M, Kavramsal Hidrolojik Modeller, Kalibrasyon, Av Arama Algoritması, Ateş Böceği Algoritması, Yapay Arı Kolonisi Algoritması / GR4J, GR2M, Conceptual Hidrological Model, Calibration, Hunting Search Algorithm, Firefly Algorithm, Artificial Bee Co

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