Migration of Rectangular Mining Pit Composed of Uniform Sediments

Lee, Hong‐Yuan; Fu, Deng‐Tsuang; Song, Ming‐Huang

doi:10.1061/(asce)0733-9429(1993)119:1(64)

Cited by 76 publications

(48 citation statements)

References 4 publications

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“…The overall effect is downstream migration of the gravel pit as deposition occurs at the upstream front while the tail end degrades from local scour. Such patterns have been observed in both natural streams (Chang, 1987;Kondolf, 1997;Neyshabouri et al, 2002;Rinaldi et al, 2005) and laboratory experiments (Fredsøe, 1978;Kornis and Laczay, 1988;Lee et al, 1993;Lee and Chen, 1996;Neyshabouri et al, 2002). A sketch of the flow structures and initial pit migration is shown in Figure 1.…”

Section: Mining-pit Evolutionmentioning

confidence: 66%

“…A common definition is that , the bed deformation should be less than 1% of the flow depth at the end of impacted reaches at both up-and downstream of the pit. Lee and Chen (1996) and Lee et al (1993) conducted a series of experiments and found that the migration process of mining pits could be divided into two periods, namely convection period and diffusion period. Convection period is from beginning of deformation to the moment when the upstream boundary of the mining pit moves to the original downstream end of the pit.…”

Section: Mining-pit Evolutionmentioning

confidence: 99%

“…The feasibility of the two-dimensional depth-averaged two-dimensional hydrodynamic and sediment transport model, CCHE2D, in simulating mining-induced bed change was examined by comparing the calculated results to the data measured in two sets of published laboratory experiments: 1) a set of experiments by Lee et al (1993); and 2) a set of experiments by Delft Hydraulics Laboratory (Galappatti and Vreugdenhil, 1985;van Rijn, 1986;Guo and Jin, 1999). Both experiments were conducted with steady flow and uniform rectangular cross sections except near the artificial mining areas.…”

Section: Model Feasibilitymentioning

confidence: 99%

“…On the other hand, removal of in-stream sediment can be beneficial, for instance, it can serve as a maintaining way of the navigation water depths (Fredsøe, 1978). To minimize the detrimental effects and maximize the beneficial impacts, channel response due to gravel mining or dredging has been studied by experiments (Fredsøe, 1978;Kornis and Laczay, 1988;Lee et al, 1993;Lee and Chen, 1996;Neyshabouri et al, 2002), field observations (Kondolf, 1997;James, 2004;Neyshabouri et al, 2002;Rinaldi et al, 2005), and simplified analytical models (Cotton and Ottozawa-Chatupron, 1990). With the rapid development of computational fluid dynamics (CFD) since late 1980s, sophisticated numerical modeling has become a practicable tool for a quantitative understanding of the channel response due to sand and gravel mining (Van Rijn, 1986;Chang, 1987;Yue and Anderson, 1990;Gill, 1994;Cao and Pender, 2004;Chen and Liu, 2009).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling Channel Response to Instream Gravel Mining

Chen¹

2011

Sediment Transport - Flow and Morphological Processes

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Section: Mining-pit Evolutionmentioning

confidence: 66%

Section: Mining-pit Evolutionmentioning

confidence: 99%

Section: Model Feasibilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling Channel Response to Instream Gravel Mining

Chen¹

2011

Sediment Transport - Flow and Morphological Processes

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“…이 러한 적응 과정은 매우 복잡하고 다양한 수리학적 특성에 의해 변하지만, 이에 대한 체계적인 연구가 거의 없는 실 정이다. Lee et al (1993)은 실내실험을 통하여 상류에서 유사 의 공급이 없는 비평형 상태에서 골재채취에 의한 웅덩이 (pit)의 형상과 이동 특성을 예측할 수 있는 경험공식을 제시하였으며, 웅덩이의 형상을 결정하는 최고 세굴심과 최대 유효길이는 유사의 이송능력이 증가할수록 감소하 는 것을 파악하였다. 그러나 유사의 이동에 의해 발생하 는 사구(dune)와 같은 하상파의 영향을 고려하지 않았으 며, 하상의 특성을 고려하여 웅덩이의 거동을 파악하는데 한계가 있다.…”

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Experimental Study on the Adjustment Processes of Minning Pit in the Dredged Channels

Jang¹,

Jung²

2010

Journal of Korea Water Resources Association

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The adjustment processes of mining pits in the disturbed channels by sand or gravel mining were investigated by laboratory experiments in this study. The pit migrated with speed when the river bed was steep. The pit migrated slow and steady when the pit was filling with sand, but the pit migrated with speed after the filling processes was finished. The submerged angle of repose in the pit was nearly constant during the pit was filling. The pit was filled with sand with speed as the channel slope was increased. It took time for the pit to be filled with sand as the pit dimension was increased. This meant that the disturbed channels by sand or gravel mining to adjust the new environment was dependent on the slope of the channels and the dimension of the pits. The dimensionless pit length was short and the dimensionless pit depth was shallow as the time was increased. The dimensionless pit depth was shallow, but the dimensionless pit migration speed was increased as the dimensionless shear velocity and the migration speed of the pit were increased. The dimensionless pit depth was increased with the dimensionless bar migration speed. The shape of the pit was deformed and migrated downstream in accordance with the location and shape of the biased bar front which was developed upstream.

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Morphodynamic evolution of a lower Mississippi River channel bar after sand mining

Yuill

Gaweesh

Allison

et al. 2015

Earth Surf Processes Landf

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In-channel sand mining by dredge removes large quantities of bed sediment and alters channel morphodynamic processes. While the reach-scale impacts of dredging are well documented, the effects of the dredged borrow pit on the local flow and sediment transport are poorly understood. These local effects are important because they control the post-dredge evolution of the borrow pit, setting the pit lifespan and affecting reach-scale channel morphology. This study documents the observed morphological evolution of a large (1·46 million m 3 ) borrow pit mined on a lateral sandbar in the lower Mississippi River using a time-series of multibeam bathymetric surveys. During the 2·5 year time-series, 53% of the initial pit volume infilled with sediment, decreasing pit depth by an average of 0·88 m yr À1 . To explore the controls of the observed infilling, a morphodynamic model (Delft3D) was used to simulate flow and sediment transport within the affected river reach. The model indicated that infilling rates were primarily related to the riverine sediment supply and pit geometry. The pit depth and length influenced the predicted magnitude of the pit bed shear stress relative to its pre-dredged value, i.e. the bed-stress reduction ratio (R*), a metric that was correlated with the magnitude and spatial distribution of infilling. A one-dimensional reduced-complexity model was derived using predicted sediment supply and R* to simulate patterns of pit infilling. This simplified model of borrow-pit evolution was able to closely approximate the amount and patterns of sediment deposition during the study period. Additional model experiments indicate that, for a borrow pit of a set volume, creating deep, longitudinally-shorter borrow pits significantly increased infilling rates relative to elongated pits. Study results provide insight into the resilience of alluvial river channels after a disturbance and the sustainability of sand mining as a sediment source for coastal restoration.

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Migration of Rectangular Mining Pit Composed of Uniform Sediments

Cited by 76 publications

References 4 publications

Modeling Channel Response to Instream Gravel Mining

Modeling Channel Response to Instream Gravel Mining

Experimental Study on the Adjustment Processes of Minning Pit in the Dredged Channels

Morphodynamic evolution of a lower Mississippi River channel bar after sand mining

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