Küçük Menderes Alt Havzası’nın SWAT ile Modellenmesi

Antropojenik aktiviteler ve iklim değişikliği Küçük Menderes Havzası‟nın su kaynaklarını olumsuz bir şekilde etkilemektedir. Nüfus artışı ve kontrolsüz su kullanımları havzayı su fakiri haline getirmiştir. Havzadaki problemlere çözüm sunabilecek modelleme çalışmaları gereklidir. Bu çalışmada, SWAT (Toprak ve Su Değerlendirme Aracı) yazılımı kullanılarak Küçük Menderes Alt Havzası için hidrolojik model oluşturulmuştur. Modelin kalibrasyonu ve duyarlılık analizi SUFI-2 (Sıralı Belirsizlik Uygunluğu) metodu kullanılarak SWAT-CUP (SWAT-Kalibrasyon Belirsizlik Programları) ile yapılmıştır. Model en çok CN2, SOL_BD (katman#), RCHRG_DP ve SOL_K (katman#) parametrelerine duyarlı olmuştur. Modelin performansı P-faktör, R-faktör ve objektif fonksiyonlarla değerlendirilmiştir. P-faktör değeri %61 ile %80 aralığında izlemeleri eşlemiştir. Objektif fonksiyonlara göre model performansının yeterli seviyede olduğu değerlendirilmiştir. Bu çalışma, havzada iklim değişikliğinin ve en iyi yönetim uygulamalarının etkisini anlamak için yapılan çalışmalar için ve su kalitesi modellemesi çalışmaları için bir altlık oluşturmaktadır.

Modeling Kucuk Menderes Watershed with SWAT

Water resources in Kucuk Menderes Watershed have been adversely affected by anthropogenic activities and climate change. Increasing population and uncontrolled water uses have transformed the watershed into a water-stressed watershed. Modeling studies in water resources are required to solve these problems in the watershed. In this study, a hydrological model for the watershed was established using SWAT (Soil and Water Assessment Tool). The model calibration and sensitivity analysis were performed by SWATCUP (SWAT-Calibration Uncertainty Programs) using Sequential Uncertainty Fitting (SUFI-2) method. The model was mostly sensitive to CN2, SOL_BD (layer#), RCHRG_DP and SOL_K (layer#) parameters. The performance of the model was evaluated with P-factor, R-factor and objective functions. P-factor values were in the range of 61-80%, meaning that the monitoring data were matched by the model within this range. According to the objective functions, the model performance was evaluated as satisfactory. The results of this study could serve as a base for a wide range of studies in the watershed such as effects of climate change, the effectiveness of Best Management Practices (BMPs) on water resources and water quality modeling.

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Çukurova Üniversitesi Mühendislik-Mimarlik Fakültesi Dergisi-Cover
  • ISSN: 1019-1011
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 1986
  • Yayıncı: ÇUKUROVA ÜNİVERSİTESİ MÜHENDİSLİK FAKÜLTESİ