عنوان مقاله [English]
Infiltration study as a component of hydrological cycle is necessary for water projects management and planning. Because infiltration rate measurement is very time-consuming and costly in field, therefore various models are used for the infiltration rate estimation; however each model, in certain circumstances may show the best fitness for experimental data. Choice of suitable model is important in water resources management, thus in this research, first, infiltration rate measured in four land uses including forest, garden, agriculture and seacoast using double ring infilterometer, and then infiltration models of American soil conservation service (SCS), Philip, Kostiakov, Green-Ampt and Horton used and thus evaluated by coefficient of determination (R2), Nash-Sutcliffe sufficiency score (NSSS), root mean squared error (RMSE) and mean error (ME). The results showed that Kostiakov model had the best fitness to experimental data with maximum of R2 and NSSS and minimum of RMSE in all land uses. Also, ME values showed that Kostiakov model in garden land use, overestimated the infiltration rate, but in other land uses, model had underestimates. Besides, SCS model in all land uses estimated the infiltration rate less than real values and thus showed stable function than the other models. Totally, Kostiakov model, for all land uses, was placed at the first rank and SCS, Philip, Green-Ampt and Horton were placed in next ranks, respectively.