Modeling sediment transport on the storage capacity and life prediction of Sadpara dam

This study aims to determine storage capacity and life prediction of Sadpara reservoir based on the sediment deposition considering in flow and discharge rate during 2012 to 2021. The main river and reservoir flows and sediments are modelled using the HEC-RAS 5.0.7 software. Ackers-White equation for sediments, continuity and momentum equations to conserve mass and external pressure on the fluid and Toffaletti equation for the sediment load are used. Manning variation of 0.03, 0.035, 0.04 various river stations and Toffaleti grain-size validity range of 0.062mm to 4mm is observed. From model a runoff flow from the valleys on either side of the reservoir observed is almost 2.8% of the total average annual sediment load of 26.9 tones. In addition, more than 50% of the sediment is observed deposited in the upper part of the reservoir which increased with the increased rainfall. The volume of water released from the Deosai River, bed slop, and the manning coefficient are concluded the contributing factors for transported sediment deposition in the reservoir. The model presented is recommended beneficial for the prediction of potential changes in the river bathymetry till 2060.

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Publication Details

Journal
Mehran University Research Journal of Engineering and Technology
Published
2025-04-09
DOI
https://doi.org/10.22581/muet1982.0039
Citations
1
Primary Topic
Hydrology and Sediment Transport Processes
Type
article
Field-Weighted Citation Impact
1.72
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article

Modeling sediment transport on the storage capacity and life prediction of Sadpara dam

Mukhtar Ahmed, Hafiz Abdul Wajid, A Cho, Мuhammad Abid et al.
1 citations
Mehran University Research Journal of Engineering and Technology
Hydrology and Sediment Transport Processes
1.72
article

Modeling sediment transport on the storage capacity and life prediction of Sadpara dam

Mukhtar Ahmed, Hafiz Abdul Wajid, A Cho, Мuhammad Abid, Munawwar Ali Abbas
article en
1 citations

Abstract

This study aims to determine storage capacity and life prediction of Sadpara reservoir based on the sediment deposition considering in flow and discharge rate during 2012 to 2021. The main river and reservoir flows and sediments are modelled using the HEC-RAS 5.0.7 software. Ackers-White equation for sediments, continuity and momentum equations to conserve mass and external pressure on the fluid and Toffaletti equation for the sediment load are used. Manning variation of 0.03, 0.035, 0.04 various river stations and Toffaleti grain-size validity range of 0.062mm to 4mm is observed. From model a runoff flow from the valleys on either side of the reservoir observed is almost 2.8% of the total average annual sediment load of 26.9 tones. In addition, more than 50% of the sediment is observed deposited in the upper part of the reservoir which increased with the increased rainfall. The volume of water released from the Deosai River, bed slop, and the manning coefficient are concluded the contributing factors for transported sediment deposition in the reservoir. The model presented is recommended beneficial for the prediction of potential changes in the river bathymetry till 2060.

Mehran University Research Journal of Engineering and TechnologyVol. 44(2)
COMSATS University Islamabad (PK), Pir Mehr Ali Shah Arid Agriculture University (PK), Baltic International Academy (LV), Islamic University of Madinah (SA)
Openalex Percentile: Top 18%
Hydrology and Sediment Transport Processes
1.72
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