Infiltration is one of the important parameters in the management and design of irrigation and drainage systems. Infiltration measurement problems make it reasonable to estimate it using simulation models. The main purpose of this study was to investigate the performance of different infiltration equations (Kostiakov-Lewis, Philip and Horton) in surface irrigation using the HYDRUS model. For this purpose, one-dimensional and two-dimensional cumulative infiltration was simulated by changing the initial soil water (before irrigation) and water head (during irrigation) using the Richards equation (HYDRUS model). Five soil textures based on the HYDRUS model database were considered for infiltration simulation. The cumulative infiltration depth, with respect to time, was used to develop different infiltration equations using the Microsoft Excel 2016 (Solver tool). Investigation of the performance of different infiltration equations in different simulations of surface irrigation showed that The Kostiakov-Lewis and Philip equations penetration with absolute total error of 1.5% and 3.5%, respectively, had the best and worst performance in estimating the amount of penetration. According to the obtained results, it is suggested to use Kostiakov-Lewis infiltration equation in surface irrigation systems, which has the best performance in estimating the amount of infiltration.
Infiltration is one of the important parameters in the management and design of irrigation and drainage systems. Infiltration measurement problems make it reasonable to estimate it using simulation models. The main purpose of this study was to investigate the performance of different infiltration equations (Kostiakov-Lewis, Philip and Horton) in surface irrigation using the HYDRUS model. For this purpose, one-dimensional and two-dimensional cumulative infiltration was simulated by changing the initial soil water (before irrigation) and water head (during irrigation) using the Richards equation (HYDRUS model). Five soil textures based on the HYDRUS model database were considered for infiltration simulation. The cumulative infiltration depth, with respect to time, was used to develop different infiltration equations using the Microsoft Excel 2016 (Solver tool). Investigation of the performance of different infiltration equations in different simulations of surface irrigation showed that The Kostiakov-Lewis and Philip equations penetration with absolute total error of 1.5% and 3.5%, respectively, had the best and worst performance in estimating the amount of penetration. According to the obtained results, it is suggested to use Kostiakov-Lewis infiltration equation in surface irrigation systems, which has the best performance in estimating the amount of infiltration.
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