Sediment Yield Modeling for 208 Planning

2015 ◽  
pp. 25-32 ◽  
Author(s):  
C. A. Onstad ◽  
R. A. Young ◽  
M. A. Otterby ◽  
R. F. Holt
Keyword(s):  
Sediment Yield ◽  
Yield Modeling

scholarly journals Corrigendum to “[Watershed-based soil erosion and sediment yield modeling in the Rib watershed of the Upper Blue Nile Basin, Ethiopia]” [Energy Nexus, Volume 3 (2021) 100023]

Energy Nexus ◽  
2022 ◽  
Vol 5 ◽  
pp. 100038
Author(s):  
Berhanu G. Sinshaw ◽  
Abreham M. Belete ◽  
Belachew M. Mekonen ◽  
Tesgaye G. Wubetu ◽  
Tegenu L. Anley ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Sediment Yield ◽  
Nile Basin ◽  
Blue Nile ◽  
Yield Modeling ◽  
Blue Nile Basin ◽  
Upper Blue Nile Basin

scholarly journals Sediment Yield Prediction in Tanzania:Case study of Dodoma District Catchments

2008 ◽  
Vol 31 (1) ◽  
pp. 63-71
Author(s):  
Mathew K. Mulemgera
Keyword(s):  
Water Resources ◽  
Soil Erosion ◽  
Sediment Yield ◽  
Development Projects ◽  
Yield Prediction ◽  
Erosion Prediction ◽  
Yield Modeling ◽  
Physically Based ◽  
Physically Based Models ◽  
Rating Curves

Soil erosion and sedimentation is serious and is resulting in rapid sedimentation of streams and reservoirs in Tanzania. This makes sediment yield modeling important before undertaking water resources development projects, although it has so far not been done in the country. At present sediment yield prediction can be done using physically based models,empirical soil erosion and sediment yield models, and sediment rating curves. The physically based models contain numerous parameters that are difficult to measure or estimate, making them inappropriate in developing countries like Tanzania. The rating curves give rough estimates while the empirical sediment yield models need runoff data that is notavailable in Tanzania. The revised USLE parametric (empirical) model that had been tested and found to be suitable for soil erosion prediction was selected for sediment yield prediction study reported in this paper. The testing of the model has shown to give acceptable results. For sediment measurements ranging from about 7 t/ha.year to 11 t/ha.year, the model predicted sediments yields ranging from about 6 t/ha.year to 12 t/ha.year, withcoefficent of determination (R 2 ) equal to about 0.53. Since soil erosion and sedimentation of water resources are serious problems in Tanzania, sediment yield modeling using the RUSLE can be a very useful tool in the country when used.

Sediment Yield Modeling as Sediment Management Strategies Towards Sustainability of Hydropower Reservoirs in Malaysia

2019 ◽  
pp. 26-37 ◽  
Author(s):  
Azwin Zailti Abdul Razad ◽  
Sarah Hanim Samsudin ◽  
Nor Aishah Abbas ◽  
Anita Setu ◽  
Lariyah Mohd Sidek ◽  
...  
Keyword(s):  
Sediment Yield ◽  
Management Strategies ◽  
Sediment Management ◽  
Yield Modeling ◽  
Hydropower Reservoirs
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