This study aims to present an efficient methodology for land use optimization based on minimization of runoff and sediment and maximization of economic benefits, occupational opportunities, and land use suitability in the Tilabad watershed in northeast of Iran. The land use map of the area was prepared using the Landsat satellite images and field surveys. The amounts of runoff and sediment were estimated via SWAT model. The TOPSIS multicriteria decision‐making (MCDM) approach was applied on the results of the multiobjective optimization (MOO) based on non‐dominated sorting genetic algorithm II (NSGA II) to choose the final optimal solution among the Pareto solutions front generated by MOO. The results indicated that the area of agriculture and rangelands should decrease, and the area of forests should increase to achieve the defined objectives. Overall, results indicated that integration of MOO and MCDM provides an efficient procedure for land use optimization in a complex watershed.

中文翻译：

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通过衔接多目标优化和多准则决策模型进行土地利用优化（案例研究：伊朗Golestan省Tilabad流域）

这项研究旨在基于伊朗东北部Tilabad流域的最小化径流和沉积物以及最大程度地实现经济效益，职业机会和土地利用适宜性的基础上，提出一种土地利用优化的有效方法。该区域的土地利用图是使用Landsat卫星图像和野外勘测绘制的。通过SWAT模型估算径流量和泥沙量。在基于非支配排序遗传算法II（NSGA II）的多目标优化（MOO）的结果上，采用了TOPSIS多准则决策（MCDM）方法，以从MOO产生的Pareto解前沿中选择最终的最优解。结果表明，要实现既定目标，应减少农业和牧场面积，增加森林面积。