<p>Nepal's Himalayan River hold vast hydropower potential but face serious challenges from monsoon floods that carry heavy sediment, damaging headworks. Most rivers, due to steep topography, flow with high velocity and transport large sediment loads. River discharge plays a vital role in determining the magnitude of sediment flow in the river basin. High flow during monsoon floods typically increases the sediment-carrying capacity. The heavy sediment load damages the headworks and is a real challenge to smooth functioning. The precise prediction of sediment transport is a crucial issue for operational challenges. The existing Indian lowland-based models for the prediction of the sediment yield in the river basin are less applicable for such conditions. There is a desperate need to develop a sediment yield model in the context of the steep Himalayan River. Because there is no appropriate sediment yield prediction model available in Nepal. Thus, by using the sediment yield data of 24 river basins covering different kinds of catchment characteristics from the eastern part to the western part of Nepal, a new regression model has been developed. This model represents sediment yield in Mm3 versus the catchment area in km<sup>2</sup> of the river basin. The newly developed model has a high accuracy with an R2 value of 0.81 and a minimum 2% of error. This study is of practical importance to predict sediment yield and support resilient headworks design.</p>

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Sediment-Induced Operational Challenges in Hydropower Headworks in Nepal

  • Bharat Raj Pandey,
  • Ram Krishna Regmi,
  • Ram Chandra Tiwari

摘要

Nepal's Himalayan River hold vast hydropower potential but face serious challenges from monsoon floods that carry heavy sediment, damaging headworks. Most rivers, due to steep topography, flow with high velocity and transport large sediment loads. River discharge plays a vital role in determining the magnitude of sediment flow in the river basin. High flow during monsoon floods typically increases the sediment-carrying capacity. The heavy sediment load damages the headworks and is a real challenge to smooth functioning. The precise prediction of sediment transport is a crucial issue for operational challenges. The existing Indian lowland-based models for the prediction of the sediment yield in the river basin are less applicable for such conditions. There is a desperate need to develop a sediment yield model in the context of the steep Himalayan River. Because there is no appropriate sediment yield prediction model available in Nepal. Thus, by using the sediment yield data of 24 river basins covering different kinds of catchment characteristics from the eastern part to the western part of Nepal, a new regression model has been developed. This model represents sediment yield in Mm3 versus the catchment area in km2 of the river basin. The newly developed model has a high accuracy with an R2 value of 0.81 and a minimum 2% of error. This study is of practical importance to predict sediment yield and support resilient headworks design.