Comparison of Surface Irrigation Simulation Models: Full Hydrodynamic, Zero Inertia, Kinematic Wave

By Mohammad Valipour. 2012

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Some phenomena such as surface irrigation are so complex that it is very difficult to implement them in nature. For this purpose, simulation models are used. In this study, ability of full hydrodynamic, zero inertia, and kinematic wave models has been investigated in surface irrigation simulation. Using SIRMOD software, their performance has been compared. The results showed that full hydrodynamic and zero inertia models were very powerful in simulation process. For increasing of filed slope until amount of 0.01 full hydrodynamic and zero inertia models had not any difference but for more increasing of S0 due to the increasing of velocity, accuracy of zero inertia model dropped. In full hydrodynamic and zero inertia models for increase in Manning's roughness coefficient amount of error was increased until n=0.15. After this amount, error remained constant thus n=0.15 determined as critical discharge. Accuracy of kinematic wave model reduced in clay and heavy clay soils, high discharges, high Manning's roughness coefficient, and basin irrigation. However, in many situations all three models had the same answers and were capable tools to simulating of surface irrigation processes. Surface Irrigation Simulation Models are widely applied, which some of them will be described in the following. Moravejalahkami, Mostafazadeh-Fard, Heidarpour and Abbasi (2009) using a zero-inertia model with a multilevel calibration approach predicted furrow infiltration and roughness for different furrow inflow hydrographs. The infiltration Equation developed by the method simulated the field data more accurately than the two-point method with the zero-inertia model. The multilevel calibration method predicted the total volume of runoff, total volume of infiltration and furrow outflow hydrograph shapes with lower relative errors compared to the two-point method for the different furrow inflow hydrograph shapes. Khanna and Malano (2006) reviewed modeling of basin irrigation systems. Their results showed that availability of accurate values of surface irrigation parameters such as Manning's roughness coefficient and infiltration coefficients for the empirical Equations was often a problem in the application of these models. Holzapfel et al. (2004) studied Infiltration parameters for furrow irrigation. They showed that using the kinematic wave model and the Kostiakov constants obtained with the advance model; simulate better the advance phase of the waterfront in the furrow. Maheshwari, McMahon and Turner (1990) investigated sensitive analysis of parameters of border irrigation models successfully. Raghuwanshi and Wallender (1998) to incorporate an economic optimization submodel modified a seasonal furrow irrigation model consisting of irrigation scheduling and kinematic wave based hydraulic submodels. Bautista (1991) validated the kinematic simulation of surge border irrigation. The results of the computer simulations agreed with measured results. Ito, Wallender and Raghuwanshi (2005) using kinematic wave model determined optimal sample size for furrow irrigation design. The results showed that 3 samples per 9 ha block can be used for representing spatial variability in managing the furrow irrigation for the conditions studied. Maheshwari (1992) using kinematic wave model studied effects of recession criteria on prediction of recession times in border irrigation models. The prediction of the models for a given recession criterion varied considerably with the events and indicated that other factors affecting flows in border irrigation should also be taken into account while selecting a recession criterion. Walker and Humpherys (1984) developed and verified a kinematic wave model of furrow irrigation under both continuous and surged flow management. Ram and Singh (1982) evaluated kinematic wave, empirical, and volume balance models for border irrigation recession. Perez, Camacho, Roldan, Alcaide and Reca (1995) using

Subfields: Civil and Structural Engineering, Environmental Engineering, Soil Science

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