ABSTRACT

This paper aims to test different methods used for assessing sediment yield indices to identify hotspots and rank sediment yield hotspots. This process includes the assessment of the entropy weighting (EW), fractal dimension (FD), slope length gradient (SL), and sediment connectivity (SC) methods. The indices at different sub-catchment levels were applied in the Ilanlu catchment (Iran) and organized based on five sediment hazard classes. To assess the performance of sediment hazard mapping, a method of superimposition was used and assessed with the erosion potential model (EPM). The superimposition showed that 8, 10, 4 and 9 sub-catchments, based on the degree of susceptibility, obtained the highest results from FD, EW, SL and SC, respectively, compared with the EPM model. The results show that EW and SC methods can achieve greater performance than FD and SL in identifying sediment production hotspots.

摘要

本文旨在测试用于评估沉积物产量指数以识别热点并对沉积物产量热点进行排名的不同方法。此过程包括评估熵权（EW），分形维数（FD），坡长梯度（SL）和沉积物连通性（SC）方法。在伊朗伊卢鲁流域（伊朗）采用了不同子汇水位水平的指数，并根据五种沉积物危害等级进行了分类。为了评估沉积物危害图的性能，使用了一种叠加方法，并使用了侵蚀潜力模型（EPM）进行了评估。叠加表明，与EPM模型相比，基于敏感性程度的8个，10个，4个和9个子汇水区分别从FD，EW，SL和SC获得了最高的结果。