Human interventions have largely influenced morphological, ecological and aesthetic quality of many rivers across the world. Scientists and researchers have developed several indices to measure ecological quality, ecological health and pollution status using physical, biological and chemical parameters. But the physical biological and chemical status of rivers are controlled by the terrain over which it is flowing, land use and land cover pattern along river belts and different form of human interventions within channel. Therefore, the present research made a painstaking attempt to develop a new Ecological Susceptibility Index (ESI) of the Mayurakshi river of Eastern India and its adjacent corridors (200-m buffer on each side of river bank) through scientific analysis of geomorphological, ecological, aesthetic and anthropogenic parameters. These includes, channel planform, geomorphology of river corridor, NDVI (Normalized Difference Vegetation Index), NDTI (Normalized Difference Turbidity Index), land use land cover, human encroachment, distance from road and proximity to mining plots. The Fuzzy- Analytical Hierarchy Process (F-AHP) and Analytical Hierarchy Process (AHP) methods were implied to ascertain the priority-based criteria and sub-criteria weights of each factor. In doing so, we have identified higher relative weights for anthropogenic indicators than other factors. Finally, prioritized weights of each aspect were ensembled together to prepare ESI. Validation results obtained from ROC (Receiver Operating Characteristics) curve and Kappa statistics show that the ensemble of F-AHP and AHP are highly efficient in predicting eco-geomorphological and aesthetic quality of river and adjacent riparian corridor. Finally, the investigation reveals that the lower-middle segments of the Mayurakshi river are highly susceptible to ecological changes as compared to other sectors.

人为干预已极大地影响了世界上许多河流的形态，生态和美学质量。科学家和研究人员已经开发了一些指数，可以使用物理，生物和化学参数来衡量生态质量，生态健康和污染状况。但是，河流的物理生化状况受河流所处的地形，沿河带的土地利用和土地覆盖格局以及河道内不同形式的人类干预措施的控制。因此，本研究通过科学分析地貌，生态学，审美和人为因素。其中包括河道平面图，河道地貌，NDVI（归一化植被指数），NDTI（归一化浊度指数），土地利用土地覆盖，人类侵占，道路距离以及临近采矿区。隐含了模糊层次分析法（F-AHP）和层次分析法（AHP）以确定每个要素的基于优先级的标准和子标准权重。通过这样做，我们确定了人为指标的相对权重高于其他因素。最后，将各个方面的优先权重汇总在一起以准备ESI。从ROC（接收器工作特性）曲线和Kappa统计数据获得的验证结果表明，F-AHP和AHP的集成在预测河流和邻近河岸走廊的生态地貌和美学质量方面非常有效。最后，调查显示，与其他地区相比，马尤拉克西河的中下游地区极易受到生态变化的影响。