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Title

COMPARE THE PERFORMANCE OF AWBM, SACRAMENTO, SIMHYD, SMAR AND TANK

Pages

 Start Page 47 | End Page 63

Abstract

 Rainfall Runoff models is an important tool in the study of water management of the watershed Different hydrologic processes such as: infiltration, soil storage, percolation, and groundwater storage are considered to simulate runoff from the catchment in Rainfall Runoff model. Because the possibility of measurement all parameters needed to evaluate watershed response is impossible, evaluate performance of a model with simple structure and using minimal input that can provide an acceptable prediction of hydrological processes, is too necessary. Purpose of this study is compare the performance of AWBM, Sacramento, SimHyd, SMAR and Tank rainfall - runoff models to simulate runoff from the NODEH WATERSHED in Golestan Province. The types of these models are conceptual lumped models that are in RRL with 8 calibration optimisers, the model inputs include daily precipitation, daily evapotranspiration and daily runoff values of the basin. Results showed that pattern search among other calibration optimisers provide better results. AWBM MODEL with Nash coefficient of 0.71 for calibration and 0.63 for the evaluation have best performance among the models and the SMAR MODEL with Nash coefficient of 0.417 and 0.338 respectively for calibration and evaluation periods among models that considered in this study have lowest performance. Also investigated models are not ability to simulate minimum and maximum values but the average values are acceptable simulation, since this model does not require much input data and their use does not require time-consuming and costly these models can be used according to the needs in water resources management.

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