It is necessary to develop methods to improve soil moisture capacity and agricultural productions in arid and semiarid areas. This study was conducted to evaluate the impact of optimal water allocation to improve the yield production in Gotvand Plain, Khuzestan Province, south-western Iran. A field-scale experiment with three scenarios of sugarcane bagasse compost application (0, 15 and 30 ton/ha) and four levels of water supply (50%, 75%, 100% and 125% of total allowable water) was performed in three replications (March–July 2019). Porous media texture, infiltration rate and irrigation demand were simulated at daily time steps to provide the root zone moisture content using real-time analysis of soil water balance. Furthermore, the maximization of readily available water based on the agricultural demand were considered using grey wolf optimization algorithm under deep percolation and runoff constraints. The results showed that the water allocation strategies and compost scenarios can improve water use efficiency and soil moisture.

有必要开发提高干旱和半干旱地区土壤湿度和农业产量的方法。进行这项研究是为了评估最佳配水方案对改善伊朗西南部胡兹斯坦省哥德瓦平原的单产的影响。在三个案例中进行了三种规模的甘蔗渣堆肥应用（0、15和30吨/公顷）和四个供水水平（总允许水的50％，75％，100％和125％）的田间规模试验复制（2019年3月至7月）。通过实时分析土壤水分平衡，在日常工作中模拟多孔介质的质地，入渗率和灌溉需求，以提供根区含水量。此外，在深层渗流和径流约束下，使用灰狼优化算法考虑了基于农业需求的可利用水量最大化。结果表明，水分分配策略和堆肥方案可以提高水分利用效率和土壤水分。