International Journal of Agriculture Extension and Social Development

author(s)
Sayantika Chatterjee, Shubhodeep Bhattacharya, Prasun Chakraborty, Altab Monsuri, Sultana Moriom Biswas and Tanmoy Majhi

abstract
The sediment that rivers carry into reservoirs can cause a reduction in the reservoir's capacity. Sedimentation from soil erosion is a major cause of water pollution. The length of the overland flow and the degree of soil loss are the two main factors that can be used to predict the amount of sediment carried. Physically based models and empirical models are the two major categories for estimating sediment yield. Important factors to take into account are the models' efficiency and complexity. The aim of this study is to choose the best model for estimating sediment yield. While estimating sediment yield, it is important to take into account variables like soil type, slope percentage, and land area. The study suggests several hydrological models for this purpose, including KINEROS, GLEAMS, SWAT, AGNPS, LISEM, and ANSWER (Areal Nonpoint Source Watershed Environmental Response Simulation model). These models are assessed based on their adaptability to input variables, suitability for use with different-sized watersheds, precision in estimating soil erosion, and overall effectiveness. This review paper offers an in- depth review of the benefits and drawbacks of various models for estimating sediment yields. It assists in selecting the most appropriate model for accurately estimating sediment yield. The study delves into great detail about how these models perform, which aids in guiding the selection procedure based on particular requirements.