TY - JOUR TT - MOSELLE NEHRİ’NDEKİ DÜŞÜK DEBİLERİN BENZETİMİ İÇİN ÇOKLU GENETİK PROGRAMLAMA MODELİNİN KALİBRE EDİLMESİ AU - Danandeh Mehr, Ali AU - Demirel, Mehmet Cüneyd PY - 2016 DA - November Y2 - 2016 DO - 10.17482/uumfd.278107 JF - Uludağ Üniversitesi Mühendislik Fakültesi Dergisi JO - UUJFE PB - Bursa Uludağ University WT - DergiPark SN - 2148-4155 SP - 365 EP - 376 VL - 21 IS - 2 KW - Low flows KW - calibration KW - genetic programming KW - ANN KW - HBV and GR4J N2 - Bu çalışmanın amacı Moselle nehrinin düşükdebilerini çoklu genetik programlama modeli ile benzetmek ve ayarı yapılanmodelin performansini daha önceki modellerle kiyaslamaktir. Tutarlılık için aynıperformans kriterleri ve model girdi çıktı düzenekleri kullanılmıştır. Tek değişen,model yapısıdır. Yağiş, buharlaşma ve nehir debisi için dünkü değerlerkullanilarak bugünku nehir debisi benzetilmeye çalışılmıştır. Sonuçlar önerilengenetik programlama modelinin dört model arasında en iyi sonuçlar verdiğini göstermektedir.Az görülen düşük akımların zamanlama ve seviyesi amaç fonksiyonu etkin değerlerseçildiğinde dahi başariyla benzetilebilmektedir. Bu geliştirilen ve önerilenmodel yapısı her ne kadar Moselle nehri için olsa da çoklu genetik programlamaalgoritmasi genel olarak tüm nehir tahmin modelleri icin bir alternatif sunmaktadır. CR - Arsenault, R., Poulin, A., Côté, P., Brissette, F., 2014. Comparison of Stochastic Optimization Algorithms in Hydrological Model Calibration. J. Hydrol. Eng. 19, 1374–1384. doi:10.1061/(ASCE)HE.1943-5584.0000938 CR - Danandeh Mehr, A., Kahya, E., Olyaie, E., 2013. Streamflow prediction using linear genetic programming in comparison with a neuro-wavelet technique. J. Hydrol. 505, 240–249. doi:10.1016/j.jhydrol.2013.10.003 CR - Demirel, M.C., Booij, M.J., Hoekstra, A.Y., 2015. 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