Soil erosion causes significant damage to humans by reducing soil productivity and filling reservoirs from sediment deposition in Narmada Basin, India; hence, it is important to recognize soil erosion prone areas for preventive steps in this basin. In this research, prioritization of sub-watersheds of Narmada Basin has been done using game theory-based approaches such as Condorcet and Fallback bargaining. For this purpose, Digital Elevation Model (DEM) generated by Shuttle Radar Topography Mission (SRTM) was used to extract and analyze 12 morphometric parameters including linear, aerial, and relief parameters. Based on the Condorcet and Fallback bargaining methods, the Mohgaon watershed came at the first priority ranking, that means it’s the most vulnerable watershed from the point of soil erosion (SE). Game theory was successfully implemented for prioritizing watersheds in term of SE. The findings showed that morphometric parameters and game theory approach have a high efficiency in recognizing areas that are vulnerable to erosion.

土壤侵蚀通过降低土壤生产力和印度纳尔马达盆地的沉积物沉积充填水库，对人类造成重大损害；因此，重要的是要在该流域中识别土壤侵蚀易发区域以采取预防措施。在这项研究中，Narmada 盆地子流域的优先级已使用基于博弈论的方法完成，例如 Condorcet 和 Fallback 讨价还价。为此，航天飞机雷达地形任务 (SRTM) 生成的数字高程模型 (DEM) 用于提取和分析 12 个形态测量参数，包括线性、空中和地形参数。根据 Condorcet 和 Fallback 讨价还价方法，Mohgaon 流域排在第一位，这意味着从土壤侵蚀 (SE) 角度来看，它是最脆弱的流域。博弈论成​​功地用于根据 SE 优先考虑流域。研究结果表明，形态测量参数和博弈论方法在识别易受侵蚀的区域方面具有很高的效率。