Performance of a zero-inertia model for irrigation with rapidly varied inflow discharges

Abstract

The zero-inertia model is widely used for simulating surface flow in irrigation systems. This model is accurate when inflow discharge is constant. However, simulation of irrigation systems with rapidly varied inflow discharge is needed due to the development of real time control irrigation technology. Hence, the objective of this study is to validate the zero-inertia model with rapidly varied inflow discharge. For this purpose, twenty-three border irrigation tests at a range of inflow changes on different field slopes and roughness coefficients were conducted. Then, the sensitivity analyses of bed slope, infiltration parameters, and roughness coefficient were examined. The results indicate that the zero-inertia model predictions are in good agreement with field data in both advance/recession times and flow depths. The infiltration parameters were the most sensitive input variable of the zero-inertia model. The input variables have a more considerable impact on the recession phase than the advance phase.

An infiltration calibration method for small‐scale basin irrigated fields considering land surface microtopography1

“…This is caused by the longer recession phase in comparison to the advance phase, causing the calibration process to focus on improving the recession phase rather than the advance phase. According to Liu et al (2020), sensitivity analysis showed that the recession phase was more sensitive to the variations in bed slope compared to the advance phase. North (2008) reported that the advance phase and recession phase were more affected by inflow discharge and slope, respectively.…”

High-Resolution 2D Modelling for Simulating and Improving the Management of Border Irrigation

“…These equations can be solved by a numerical approach more easily than complete hydrodynamic equations because of their simple mathematical properties (Strelkoff et al, 2003;Zhang et al, 2017). In this context, Liu et al (2020) validated a zero-inertia model even in presence of rapidly varied inflow discharge. Naghedifar et al (2019) proposed a basin/border irrigation model combining the 2D overland flow equations, based on the diffusion-wave approximation of the SWEs, with the 3D infiltration computed by the mixed form of Richards' equation using a non-orthogonal curvilinear coordinate system to speed-up the model computation performance.…”

Improving Irrigation Performance by Using Adaptive Border Irrigation System

“…The infiltration-coefficient variability has the greatest impact on the surface water flow process and irrigation performance [29,30] so it is the only considered for convenience in the first inflow adjustment. The range of the spatial variation coefficient of the infiltration coefficient is 10-30% [27,31].…”