Preliminary Multi-Objective Optimization of Mobile Drip Irrigation System Design and Deficit Irrigation Schedule: A Full Growth Cycle Simulation for Alfalfa Using HYDRUS-2D

文献类型： 外文期刊

第一作者： Zhang, Haohui

作者： Zhang, Haohui;Ma, Feng;Wang, Wentao;Ding, Feng;Yan, Haijun;Ding, Feng;Hui, Xin;Yan, Haijun

作者机构：

关键词： multi-objective optimization; HYDRUS-2D; NSGA-II algorithm; mobile drip irrigation system; water management

期刊名称：WATER （ 影响因子：3.0； 五年影响因子：3.3 ）

ISSN：

年卷期： 2025 年 17 卷 7 期

页码：

收录情况： SCI

摘要： Mobile drip irrigation (MDI) systems integrate the technological advantages of center-pivot irrigation (CPI) systems and drip irrigation systems, boasting a high water-saving potential. To further enhance water use efficiency in alfalfa production in northern China, this preliminary study verified the accuracy of the HYDRUS-2D soil water movement numerical model through field experiments. Using the numerical model, four drip-line installation distances (60, 75, 90, and 105 cm), three deficit irrigation thresholds (45-50% FC, 55-60% FC, and 65-70% FC), and four irrigation depths (70% W, 85% W, 100% W, and 115% W) were set to simulate root water uptake, soil surface evaporation, total irrigation amount, and deep percolation during the entire growth cycle of alfalfa, respectively. Objective functions were constructed according to the simulation results, and the NSGA-II algorithm was used for multi-objective optimization of the deficit irrigation schedule. The preliminary results indicated that HYDRUS-2D can accurately simulate soil water movement under MDI systems, as the RMSE values of soil water content at all measured depths were less than 0.021 cm(3)/cm(3), with the NRMSE values being below 23.3%, and the MAE values below 0.014 cm(3)/cm(3). Increasing the deficit irrigation threshold from F1 to F3 enhanced root water uptake by 12.24-15.34% but simultaneously increased the total irrigation amount, soil surface evaporation (by up to 29.58%), and the risk of deep percolation; similar trends were observed with increasing irrigation depth. The drip-line installation distance had no significant impact on irrigation performance. The NSGA-II multi-objective optimization algorithm was used to obtain Pareto-optimal solutions that balance conflicting objectives. For this case study, a drip-line installation distance of 105 cm, a deficit irrigation threshold of 50-55% FC, and an irrigation depth of 112% W were recommended to achieve balance among the various optimization objectives. This study provides a preliminary framework for optimizing MDI systems and irrigation strategies. However, since a deeper root distribution (>80 cm) was not investigated in this study, future research incorporating deeper root zones is required for developing more comprehensive irrigation scheduling suitable for typical alfalfa cultivation scenarios.

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