Mining pit migration of an alluvial channel: experimental and numerical investigations

Barman, Bandita; Sarma, Arup Kumar; Kumar, Bimlesh

doi:10.1080/09715010.2018.1501775

Cited by 11 publications

(6 citation statements)

References 24 publications

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“…For a single channel, the borrow‐pit is rapidly infilled when propagating downstream (Figure 6), which is consistent with previous studies (Barman et al., 2020; Haghnazar et al., 2020). When the initial borrow‐pit only occupies half side of the river channel (Figure 2c), the pit expands in the cross‐channel direction when propagating downstream (Figure 6d).…”

Section: Resultssupporting

confidence: 91%

System‐Wide Effects of Local Bed Disturbance on the Morphological Evolution of a Bifurcating Channel Network

Gao,

Shao,

Wang

et al. 2024

JGR Earth Surface

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Deltaic channel networks are important conduits for water and material supplies to the fluvial and coastal communities. However, increasing human interventions in river deltas have altered the topology and geometry of channel networks as well as their long‐term evolution. While the morphological evolution of a single channel has received extensive studies, the system‐wide morphological responses of channel networks to local disturbances remain largely unclear. Here we investigate the morphological responses of a bifurcating channel network subject to local disturbance of channel deepening due to dredging and sand mining through idealized simulations, and further compare the results with the reference scenarios of a single channel and theoretical analysis of the phase plane. The results show that the infilling of the local deepening is associated with the erosion of the entire branch, which also causes system‐wide effects on the siltation of the other branch. The morphological responses of the bifurcating channel network consist of a relatively short stage for the infilling of the local deepening followed by a relatively long stage for recovering the equilibrium configuration of the river bifurcation. The system‐wide effects of the local disturbance arise from the altered water surface slope and water partitioning downstream of the bifurcation due to the local deepening. Also, the prolonged recovery of the equilibrium configuration is consistent with theoretical analysis, which reveals a slow evolution of the bifurcation when approaching the equilibrium. Our results can help understand the long‐term morphological responses of large‐scale complex channel networks and inform water managements under increasing human interventions.

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Section: Resultssupporting

confidence: 91%

System‐Wide Effects of Local Bed Disturbance on the Morphological Evolution of a Bifurcating Channel Network

Gao,

Shao,

Wang

et al. 2024

JGR Earth Surface

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“…Several modeling studies have been conducted to examine the impacts of sand mining on sediment transport [5,8,23]. In a study by Binoy Aliyas Mattamana (2013), numerical modeling was employed to assess sand transportation in a river, with a focus on simulating the recovery time of sand mines based on sand flow into the mines [5]. Hamed Haghnazar et al (2020) employed the CCHE2D model to perform the flow features and sediment transport processes around river pits.…”

Section: Introductionmentioning

confidence: 99%

Integration of a numerical model in curvilinear coordinates with sand mining component for bottom morphology simulation

Kim,

Huy,

Phuoc

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Numerical models for calculating bottom morphology are increasingly popular because of their long-term forecasting capabilities as well as their ability to identify causes. However, the simulation of bottom morphology, in addition to natural factors, is also governed by economic activities, especially sand mining. In this paper, we propose the development of the numerical model in curvilinear coordinates combined with a sand mining component that simulates the bottom morphology of the Tien river segment in the Mekong Delta as a study area. The modeling theory relies on the Reynolds equation system, which is combined with the suspended sediment transport equation in a two-dimensional curvilinear coordinate system. The process of averaging is performed over the depth. The suspended sediment transport equation incorporates a source function that describes the upward or downward movement of particles. In the model for bottom morphology, a component for sand mining is included, which accounts for the rate at which sand is extracted from the riverbed. This component is integrated into the equation governing the continuity of the bed load. The findings demonstrate that the numerical model effectively captures the changes in the river’s bottom morphology resulting from sand mining. Specifically, when the sand mining component is employed, the model accurately represents the actual development of the bottom morphology in river segments where sand mining occurs. Furthermore, the downstream bed alterations are significantly influenced by sand mining activities. By incorporating the sand mining component into the model, it becomes a valuable tool for simulating the bottom morphology in river segments subjected to sand mining, thus aiding in sand mining planning and the management of disaster risks associated with bank erosion.

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“…To meet the demands for construction material, several sand mines on the river have been operating and have produced many impacts on the environment and river morphology [1][2][3][4][5]. Numerous studies have demonstrated that sand mining in alluvial rivers causes disturbances within geomorphic processes, bottom revolutions, and their functions [2,4,6]. Removing a large volume of sediment alters the hydraulic properties of the flow and the morphodynamic evolution of the riverbed [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…Numerous studies have demonstrated that sand mining in alluvial rivers causes disturbances within geomorphic processes, bottom revolutions, and their functions [2,4,6]. Removing a large volume of sediment alters the hydraulic properties of the flow and the morphodynamic evolution of the riverbed [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…Bay et al (2018) simulated the litho-dynamic processes and bottom morphology in the coastal area, such as the flow, sediment transport, and bed changes for Can Gio and Cua Lap, Vietnam [28,29]. This model is based on the Reynolds equation system coupled with the sediment transport and bedload continuity equations [6,10,[30][31][32][33][34]. The authors applied the above model to calculate the bottom changes for the waters of Can Gio and Cua Lap.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of the Impact of Sand Mining on Bottom Morphology in the Mekong River in An Giang Province, Vietnam, Using a Hydro-Morphological Model with GPU Computing

Kim¹,

Hương

Huy³

et al. 2020

Water

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Sand mining, among the many activities that have significant effects on the bed changes of rivers, has increased in many parts of the world in recent decades. Numerical modeling plays a vital role in simulation in the long term; however, computational time remains a challenge. In this paper, we propose a sand mining component integrated into the bedload continuity equation and combine it with high-performance computing using graphics processing units to boost the speed of the simulation. The developed numerical model is applied to the Mekong river segment, flowing through Tan Chau Town, An Giang Province, Vietnam. The 20 years from 1999 to 2019 is examined in this study, both with and without sand mining activities. The results show that the numerical model can simulate the bed change for the period from 1999 to 2019. By adding the sand mining component (2002–2006), the bed change in the river is modeled closely after the actual development. The Tan An sand mine in the area (2002–2006) caused the channel to deviate slightly from that of An Giang and created a slight erosion channel in 2006 (−23 m). From 2006 to 2014, although Tan An mine stopped operating, the riverbed recovered quite slowly with a small accretion rate (0.25 m/year). However, the Tan An sand mine eroded again from 2014–2019 due to a lack of sand. In 2014, in the Vinh Hoa communes, An Giang Province, the Vinh Hoa sand mine began to operate. The results of simulating with sand mining incidents proved that sand mining caused the erosion channel to move towards the sand mines, and the erosion speed was faster when there was no sand mining. Combined with high-performance computing, harnessing the power of accelerators such as graphics processing units (GPUs) can help run numerical simulations up to 23x times faster.

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Mining pit migration of an alluvial channel: experimental and numerical investigations

Cited by 11 publications

References 24 publications

System‐Wide Effects of Local Bed Disturbance on the Morphological Evolution of a Bifurcating Channel Network

System‐Wide Effects of Local Bed Disturbance on the Morphological Evolution of a Bifurcating Channel Network

Integration of a numerical model in curvilinear coordinates with sand mining component for bottom morphology simulation

Assessment of the Impact of Sand Mining on Bottom Morphology in the Mekong River in An Giang Province, Vietnam, Using a Hydro-Morphological Model with GPU Computing

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