Estimation of infiltaration parameters and Manning roughness coefficient under continuous and cutback flows

Surface irrigation is still main irrigation system in agricultural land, so it is necessary to finding a solution for improving these systems. Manning roughness coefficient and infiltration parameters are the most important parameters in evaluation of surface irrigation systems. Infiltration parameters play an essential role in the evaluation and design of irrigation systems; therefore, it is necessary to estimate these coefficients, accurately The purpose of this study was to estimate infiltration parameters and manning roughness coefficient in continuous and cutback flows during the first three irrigation events using INFILT, SIPAR_ID and EVALUE models. The results showed that the average relative error percentage in the INFILT, SIPAR_ID and EVALUE models were 16.6, 5.2 and 11.2, respectively, and the maximum errors were 1.6, 0.7, and 1.1 m3, respectively. The SIPAR_ID model has less error than the other two models. These models also had higher accuracy in estimating infiltration in the border irrigation than furrow irrigation. The US Soil Conservation Service (SCS) also proposed a Manning roughness coefficient for fallow furrows in the first irrigation 0.04, which is very different from the estimated values of the SIPAR_ID model from 0.038 to 0.09.