Basin-Scale Sediment Transport for Sustainable Sand Mining – A Case Study in Punatshangchhu Basin, Bhutan

This case study evaluated sediment dynamics in the Punatshangchhu basin in Bhutan. Sand miningoperations in the basin commenced in 2007, with an average annual extraction rate of 0.3 × 106 m3,accounting for approximately 65% of the country's sand demand. However, sand mining has beenconducted without a comprehensive understanding of the basin's sediment budget. Therefore, thisstudy examines the sediment budget at the basin scale using numerical modeling. Two numericalmodels were developed: the Rainfall-Runoff-Inundation (RRI) model simulated the 2017 floodevent, while the Rainfall-Sediment-Runoff (RSR) model computed daily sediment yields during themonsoon season (May–September). The RSR model was simulated for two cases: Case 1considered sediment supply from the river channel only, while Case 2 considered sediment supply from the river channel and slopes. The model results were evaluated against daily observed stream-flow data, suspended sediment load, and particle-size distribution. The model achieved NSE, PBAIS, and R2 values of 0.9, -0.12, and 0.9, respectively, in calibration. The validation achievedsimilar NSE and PBAIS values, with an improved R2 of 0.94. The total sediment yield in Case 2was 34% higher than in Case 1. The model results showed balanced sediment inflow and outflowin the basin. However, sediment extraction at the current rate is unsustainable, with riverbeddegradation at a rate of 0.26 m/year. Nevertheless, a downstream hydropower dam is expected tocreate an opportunity for sustainable mining.

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Publication Details

Journal
Zorig Melong.
Published
2025-08-17
DOI
https://doi.org/10.17102/zmv8.i2.010
Primary Topic
Mining and Resource Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Basin-Scale Sediment Transport for Sustainable Sand Mining – A Case Study in Punatshangchhu Basin, Bhutan

Ugyen Phuntsho, Daisuke Harada
Zorig Melong.
Mining and Resource Management
article

Basin-Scale Sediment Transport for Sustainable Sand Mining – A Case Study in Punatshangchhu Basin, Bhutan

Ugyen Phuntsho, Daisuke Harada
article en

Abstract

This case study evaluated sediment dynamics in the Punatshangchhu basin in Bhutan. Sand miningoperations in the basin commenced in 2007, with an average annual extraction rate of 0.3 × 106 m3,accounting for approximately 65% of the country's sand demand. However, sand mining has beenconducted without a comprehensive understanding of the basin's sediment budget. Therefore, thisstudy examines the sediment budget at the basin scale using numerical modeling. Two numericalmodels were developed: the Rainfall-Runoff-Inundation (RRI) model simulated the 2017 floodevent, while the Rainfall-Sediment-Runoff (RSR) model computed daily sediment yields during themonsoon season (May–September). The RSR model was simulated for two cases: Case 1considered sediment supply from the river channel only, while Case 2 considered sediment supply from the river channel and slopes. The model results were evaluated against daily observed stream-flow data, suspended sediment load, and particle-size distribution. The model achieved NSE, PBAIS, and R2 values of 0.9, -0.12, and 0.9, respectively, in calibration. The validation achievedsimilar NSE and PBAIS values, with an improved R2 of 0.94. The total sediment yield in Case 2was 34% higher than in Case 1. The model results showed balanced sediment inflow and outflowin the basin. However, sediment extraction at the current rate is unsustainable, with riverbeddegradation at a rate of 0.26 m/year. Nevertheless, a downstream hydropower dam is expected tocreate an opportunity for sustainable mining.

Zorig Melong.Vol. 8(2)
Public Works Research Institute (JP), Ministry of Agriculture and Forests (BT)
Royal Government of Bhutan
Openalex Percentile: Top 77%
Mining and Resource Management
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Basin-Scale Sediment Transport for Sustainable Sand Mining – A Case Study in Punatshangchhu Basin, Bhutan — Ugyen Phuntsho, Daisuke Harada · Zorig Melong. (2025) | TGRS Research Map | TGRS