Author: Cahit YERDELEN
Publishing Date: 2006
Volume 21 Issue 3_4
The great amount of snowpack still all through the winter time starts melting with the coming of spring and all that static water becomes a huge dynamic force. The fundamental aim of hydraulic and environmental engineers is to minimize the disaster due to its uncontrolled flow while benefiting from it the greatest. Evaluation of this optimum benefit is closely related with the correct estimation of snow precipitation and snowmelting which is very important for the counterbalance of overflow and the planning of dams and water resources in the area. There are several models for the estimation of snowmelt which may be classified in two groups as degree‐day method and the energy‐ mass equilibrium method. Neural network method is used in this study, which has a wide area of application in engineering problems. In Turkey, the maximum amount and long period of snow is encountered in Eastern Anatolia region. Due to this fact, the model used in this study, is applied on the Karasu ‐ Kırkgöze basin for March and May time span which is the snowmelt time for 1987‐1995.
Key Words: Hydrology; Snowmelt; Energy Balance; Mass Balance; Artificial Neural Network