If furrow irrigation is properly designed and implemented, this method would be one of the best surface irrigation systems. To achieve high irrigation efficiency and uniformity in surface irrigation, the use of simulation models is inevitable. The purpose of this study was to develop a seasonal furrow irrigation model to simulate the whole irrigation season (every irrigation event). The model called ‘SFIM’ was developed using the FORTRAN programming language. SFIM consists of four sub‐models to simulate surface flow, subsurface flow, crop yield, water productivity and irrigation evaluation indices. Three data sets of furrow irrigation for maize crop production in the Alborz Province of Iran (College of Agriculture and Natural Resources and Seed and Plant Improvement Institute farms) were used for evaluation of the proposed model. Average relative error of the model ranged from 11.5 to 17.2%, 7.5 to 11.3% and 6.8 to 9.0% in estimating infiltrated water volume, crop yield and water productivity, respectively. The model could also well simulate temporal soil moisture variations and water stress in the root zone. As a consequence, the SFIM model could successfully simulate all irrigation events during the maize‐growing season. © 2020 John Wiley & Sons, Ltd.

中文翻译：

---

季节沟灌模式（SFIM）的开发与应用

如果适当设计和实施沟灌，这种方法将是最好的地面灌溉系统之一。为了获得高灌溉效率和地表灌溉的均匀性，不可避免地要使用模拟模型。本研究的目的是建立一个季节性犁沟灌溉模型，以模拟整个灌溉季节（每次灌溉事件）。使用FORTRAN编程语言开发了名为“ SFIM”的模型。SFIM由四个子模型组成，用于模拟地表流量，地下流量，作物产量，水生产率和灌溉评估指标。伊朗的阿尔伯兹省（农业与自然资源学院和种子与植物改良研究所的农场）的三个玉米田沟灌溉数据集用于评估该模型。在估算入渗水量，作物产量和水生产率方面，该模型的平均相对误差分别为11.5％至17.2％，7.5％至11.3％和6.8％至9.0％。该模型还可以很好地模拟根区土壤的水分变化和水分胁迫。因此，SFIM模型可以成功模拟玉米生长季节的所有灌溉事件。分级为4 +©2020 John Wiley＆Sons，Ltd.