One of the strategies for increasing water use efficiency and reducing deep percolation of drip irrigation systems is considering the patterns of moisture redistribution after cut-offing the irrigation process. Accurate estimation of the wetting dimensions in surface/subsurface irrigation systems is very important for optimal management of drip irrigation systems as well as minimizing water losses via deep percolation and runoff. An experimental study was conducted in the present research to evaluate the moisture redistribution process under surface and subsurface pulse drip irrigation systems and developing new regression-based methodologies for estimating moisture redistribution dimensions using both the soil and system parameters. A physical model was made and the experiments were performed on three different types of soil texture (fine, medium, and coarse) with three emitter flow rates (2, 4, and 6 lit/hr) in three emitter installation depths (0, 15, and 30 cm). The experiments were conducted for both continuous (CI) and pulse (PI) irrigation modes. The results showed that significant amounts of wetting dimensions and wetted area of the moisture bulb are related to the post-cut-offing stage. Then, using the nonlinear regression analysis, several models were proposed to estimate the horizontal and vertical redistribution pattern as well as the wetted area (upper and lower parts of the emitter). The comparison of the measured and the simulated values indicated that the non-linear regression models simulated the parameters associated with the redistribution, accurately. For instance, the MAE, RMSE, and NS values corresponding to the simulation of the horizontal redistribution vary between 0.19–0.72, 0.25–0.83 cm, and 0.77–0.96, respectively. These values for vertical downward redistribution vary between 0.13–0.59, 0.17–0.79 cm and 0.65–0.98 for all investigated treatments, respectively. The use of these models for design goals facilitates the determination of the accurate distance between laterals and emitters as well as the suitable depth of emitters.

提高用水效率和减少滴灌系统深度渗透的策略之一是考虑中断灌溉过程后水分重新分布的模式。准确估算地表/地下灌溉系统中的润湿尺寸对于滴灌系统的优化管理以及通过深层渗滤和径流将水损失降至最低至关重要。在本研究中进行了一项实验研究，以评估地表和地下脉冲滴灌系统下的水分再分配过程，并开发新的基于回归的方法，以使用土壤和系统参数估算水分再分配尺寸。建立了一个物理模型，并在三种不同类型的土壤质地（细、中、和粗）在三个发射器安装深度（0、15 和 30 厘米）中具有三个发射器流速（2、4 和 6 升/小时）。实验针对连续 (CI) 和脉冲 (PI) 灌溉模式进行。结果表明，水分球的大量润湿尺寸和润湿面积与后切割阶段有关。然后，使用非线性回归分析，提出了几种模型来估计水平和垂直再分布模式以及润湿面积（发射器的上部和下部）。测量值和模拟值的比较表明，非线性回归模型准确地模拟了与重新分布相关的参数。例如，15 和 30 厘米）。实验针对连续 (CI) 和脉冲 (PI) 灌溉模式进行。结果表明，水分球的大量润湿尺寸和润湿面积与后切割阶段有关。然后，使用非线性回归分析，提出了几种模型来估计水平和垂直再分布模式以及润湿面积（发射器的上部和下部）。测量值和模拟值的比较表明，非线性回归模型准确地模拟了与重新分布相关的参数。例如，15 和 30 厘米）。实验针对连续 (CI) 和脉冲 (PI) 灌溉模式进行。结果表明，水分球的大量润湿尺寸和润湿面积与后切割阶段有关。然后，使用非线性回归分析，提出了几种模型来估计水平和垂直再分布模式以及润湿面积（发射器的上部和下部）。测量值和模拟值的比较表明，非线性回归模型准确地模拟了与重新分布相关的参数。例如，结果表明，水分球的大量润湿尺寸和润湿面积与后切割阶段有关。然后，使用非线性回归分析，提出了几种模型来估计水平和垂直再分布模式以及润湿面积（发射器的上部和下部）。测量值和模拟值的比较表明，非线性回归模型准确地模拟了与重新分布相关的参数。例如，结果表明，水分球的大量润湿尺寸和润湿面积与后切割阶段有关。然后，使用非线性回归分析，提出了几个模型来估计水平和垂直再分布模式以及润湿区域（发射器的上部和下部）。测量值和模拟值的比较表明，非线性回归模型准确地模拟了与重新分布相关的参数。例如，测量值和模拟值的比较表明，非线性回归模型准确地模拟了与重新分布相关的参数。例如，测量值和模拟值的比较表明，非线性回归模型可以准确模拟与重新分配相关的参数。例如，对应于水平再分布模拟的MAE、RMSE和NS值分别在 0.19-0.72、0.25-0.83 厘米和 0.77-0.96 之间变化。对于所有研究的处理，这些垂直向下重新分布的值分别在 0.13-0.59、0.17-0.79 厘米和 0.65-0.98 之间变化。将这些模型用于设计目标有助于确定横向和发射器之间的准确距离以及发射器的合适深度。