A Comparative Study of Geomorphologic Artificial Intelligent Model And GIUH For Direct Runoff Computations

Document Type : Original Article

Authors

1 Assistant Professor, Department of Irrigation and Drainage Engineering Group, Faculty of Agriculture Engineering, College of Aboureihan, University of Tehran, Tehran, IRAN

2 Associate Professor, Department of Irrigation and Drainage Engineering Group, Faculty of Agriculture Engineering, College of Aboureihan, University of Tehran, Tehran, IRAN.

3 Instructore, Department of Irrigation and Reclamation Engineering Group, Faculty of Soil and Water Engrg., College of Agriculture and Natural Resources, University of Tehran, Karaj, IRAN.

4 Ph.D student, Department of Irrigation and Reclamation Engineering Group, Faculty of Soil and Water Engrg., College of Agriculture and Natural Resources, University of Tehran, Karaj, IRAN.

Abstract

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. 

Keywords

References

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Iran-Water Resources Research
Volume 5, Issue 2
June 2009
Pages 1-9

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History

  • Receive Date: 10 October 2005
  • Accept Date: 22 June 2009

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