نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار/ گروه مهندسی آبیاری وزهکشی، پردیس ابوریحان دانشگاه تهران، پاکدشت
2 دانشیار/گروه مهندسی آبیاری وزهکشی، پردیس ابوریحان دانشگاه تهران، پاکدشت
3 مربی/ گروه مهندسی آبیاری و آبادانی، دانشکده مهندسی آب وخاک، پردیس کشاورزی ومنابع طبیعی ، دانشگاه تهران، کرج
4 دانشجوی دکتری /مهندسی منابع آب، گروه مهندسی آبیاری و آبادانی، دانشکده مهندسی آب وخاک، پردیس کشاورزی ومنابع طبیعی ، دانشگاه تهران، کرج
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
The Geomorphologic Instantaneous Unit Hydrograph utilizes Horton's law and the drainage characteristics of the watershed. This is a simple approach to direct runoff computations in ungaged watersheds. Hydrologists have increasingly attempted to relate the watershed’s hydrological responses to watershed topographical characteristics. In this study three different categories of rainfall-runoff models proposed for ungaged watersheds, including a black-box model equipped with Geomorphologic characteristics called: the Geomorphologic 1-Artificial Neural Network (GANN) model, 2-a conceptual two parameter model (Nash model), and 3-Geomorphology Instantaneous Unit Hydrograph (GIUH) were evaluated in a middle size watershed. The applicability of these models were studied for ten rainfall-runoff events of the Kassilian representative watershed located in the north of Iran. The results indicated that GANN model in runoff estimation is more powerful than the other two models. It can also be concluded that adopting the geomorphologic characteristics of watershed in the ANN model can promote this model from a pure black-box model to a model with more capabilities in simulation of a rainfall-runoff relationship.
کلیدواژهها [English]