The sub-tropical countries like India experience large-scale land degradation due to erosion of the surface soil. So, there is a direct impact of monsoon climate in this region; large-scale water-induced erosion has gradually increased due to an extreme precipitation event. There is an unbalanced situation that happens between regolith formation and rate of surface soil erosion. The amount of agricultural production is decreasing day by day due to the degradation of topsoil. The gap between demand for the crops and the rate of production is thus rapidly increasing. Evaluation of possible erosion zones is needed to identify vulnerable areas for the implementation of suitable remedies. Estimating the morphotectonic parameters and their effect on potential for erosion is important for determining the most possible erosion zones. Here, most of the morphometric and tectonic parameters are considered as static and dynamic causative factors. Due to the diversified hydro-geomorphic association, in recent times the rate of soil erosion in the Kangsabati River Basin is very high. Here, the SWAT modelling tool was considered for the estimation of the morphometric parameters in a systematic way. The evidential belief function (EBF) with uncertainty and plausibility, logistic regression (LR) and ensemble EBF–LR were then used to estimate this region’s erosion potentiality. For estimating the erosion potentiality, the location of gully and non-gully points is considered and that is randomly divided into 70/30 ratio. It can be said from this analysis that most of the watershed of this river basin, the erosion potentiality rate, is moderate to very high. Thus, these watersheds need to be carefully analysed by implementing certain structural and non-structural measures to reduce the potential for erosion.

中文翻译：

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在亚热带环境中使用 SWAT、具有不确定性和合理性的 EBF、逻辑回归和新型集合模型评估静态和动态成因因素对侵蚀潜力的重要性

像印度这样的亚热带国家由于地表土壤的侵蚀而经历了大规模的土地退化。因此，该地区受到季风气候的直接影响；由于极端降水事件，大规模水致侵蚀逐渐增加。风化层形成与地表土壤侵蚀速率之间存在不平衡的情况。由于表土退化，农业生产量日益减少。因此，对农作物的需求与生产速度之间的差距正在迅速扩大。需要对可能的侵蚀区进行评估，以确定实施适当补救措施的脆弱区域。估计形态构造参数及其对侵蚀潜力的影响对于确定最可能的侵蚀带很重要。这里，大多数形态测量和构造参数被认为是静态和动态的因果因素。由于水文地貌的多样性，康萨巴蒂河流域近年来的水土流失率非常高。在这里，SWAT 建模工具被考虑用于以系统的方式估计形态参数。然后使用具有不确定性和合理性的证据信念函数 (EBF)、逻辑回归 (LR) 和整体 EBF-LR 来估计该区域的侵蚀潜力。在估算侵蚀潜力时，考虑了沟渠和非沟渠点的位置，并以70/30的比例随机划分。由此分析可以说，该流域的大部分流域，侵蚀潜力率中等至很高。因此，