Movement of Total Suspended Solids in Combined Sewers

Saul, Adrian J.; Skipworth, Peter; Tait, Simon; Rushforth, Peter J.

doi:10.1061/(asce)0733-9429(2003)129:4(298)

Cited by 15 publications

(5 citation statements)

References 13 publications

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“…To check the erosion of mixed organic/granular sediment in-sewer deposits, a model was used to simulate the interaction mechanisms between the granular particles and the fine-grained organic sediments (Peter et al 2003). Adrian et al (2003) described the movement of deposited cohesive-like sediment beds in sewers, and confirmed that process models had the potential to describe the temporal pattern of transport rate and concentration of the suspended sediments. Banasiak & Verhoeven (2008) quantified the mobility behavior of cohesion affected sediments by a test on partly cohesive mixtures and a fine, uniformly graded sand conducting in a semicircular pipe.…”

Section: Introductionmentioning

confidence: 89%

Analysis and calculation of sediment scouring rate at different locations of storm sewer

Liu

et al. 2021

Water Science and Technology

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To explore the migration differences of sediments at the front, middle, and end sections of a storm sewer when scoured by water, and further evaluate the pollution load, the scouring process of sediments at different locations of a storm sewer was simulated and mathematical models were built to calculate the scouring rate. Results show that scouring rate is affected by sediment particle size, pipeline slope, sediment thickness, and water flow velocity. As the slope increased, scouring rate at the end section increased more obviously. The scouring rate at the front section slightly decreased with increasing sediment thickness, but opposite trends were observed at the middle and end sections. When the particle size (0.33 mm–0.83 mm) and flow velocity (0.15 m/s–0.65 m/s) increased within their ranges, scouring rate increased across all three locations. Models for calculating scouring rate were established via two data fitting. The calculated values were compared with measured values at a scouring time of 1 min. Under different particle sizes, the difference between the calculated and measured values at front, middle, and end sections were in the ranges of −0.63% to 0.63%, −0.01% to 0.02%, and −0.13% to 0.16%, respectively, all of which showed good consistency.

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Section: Introductionmentioning

confidence: 89%

Analysis and calculation of sediment scouring rate at different locations of storm sewer

Liu

et al. 2021

Water Science and Technology

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“…This equation results in an increase in the critical Shields parameter of a sediment after deposition occurs for t dsp seconds until a maximum bed height is reached, after which it remains constant. Similarly, φ E is used to simulate an important behavior in the erosion of sewer sediments: the bed can be eroded relatively easily until a certain depth, where it has consolidated and/or settled, and needs a higher shear stress to erode further [18]. Hence, during erosion, the critical Shields parameter of the sediment fractions increase linearly from their initial values to a user-defined maximum value until a third of the bed is eroded, after which it remains constant at the maximum value.…”

Section: Critical Shields Parametermentioning

confidence: 99%

“…Initially, a stable flow is developed in a computational mesh representing a sewer before the introduction of suspended sediment in the form of an inlet concentration and the calculation of a bedload transport rate in the cells of the mesh representing the deposited bed. Subsequently, the difference in height due to erosion or deposition for each cell in the deposited bed, or finite area mesh, is calculated using the solution to Equation (18). These differences in height are then interpolated from the cells to all the points in the finite area mesh using OpenFOAM's primitivePatchInterpolation.…”

Section: Model Implementationmentioning

confidence: 99%

“…The selection of an appropriate case study to validate SSF under erosion conditions proved to be significantly more challenging than in the deposition case. A number of studies detail different erosion scenarios in sewers [18,38,39], but these studies are mainly based on longer stretches of sewers in the field; which limits the quantity and granularity of any of data that is collected. All the case studies have some critical data limitations for flow and/or sediment characteristics, so this section is focused on analyzing the functionality of SSF for erosion scenarios rather than a detailed validation, for which there is insufficient data in the literature at the time of this analysis.…”

Section: Sediment Erosionmentioning

confidence: 99%

“…It is a particularly difficult process to determine critical shear stress in sewer beds due to the deposition of multiple sediment fractions, cohesiveness of some sewer sediments, biological activity in sewers, and consolidation of the sediment bed over time [2]. Research into the erosion of cohesive and mixed sediment beds in surface waters and sewers may provide a way forward in the calculation of critical shear stress in sewer sediment beds [14,18,19].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

SewerSedFoam: A Model for Free Surface Flow, Sediment Transport, and Deposited Bed Morphology in Sewers

Murali

Hipsey

Ghadouani

et al. 2020

Water

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This paper aims to bridge the gap in the detailed modelling of flow and sediment process interactions in sewers through the development of a computational fluid dynamics (CFD) model. It draws on previous models developed for surface water sediment transport in the OpenFOAM CFD framework and builds on them to improve their suitability for sewer sediment processes. Three distinct sediment processes, suspended sediment transport, bedload transport, and deposited bed morphology, are incorporated into a free surface flow solver, interFoam. This sewer sediment model, called SewerSedFoam, models the impacts of sediment deposition and erosion on flow velocity by using dynamic mesh deformation to capture the movement of the deposited bed and its morphology. Further, three sediment classes, two suspended and one bedload sediment, can be modelled along with some bed stabilization and consolidation effects during deposition and erosion, respectively. The functionality of the overall model in modelling sewer sediment deposition and erosion is promising, although the validation of a large magnitude sediment erosion event has been limited by the availability of granular data in existing case studies.

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Critical shear stress of trout feed and implications for particulate transport in flow through raceways

Smith

Liou

2010

Aquacultural Engineering

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Movement of Total Suspended Solids in Combined Sewers

Cited by 15 publications

References 13 publications

Analysis and calculation of sediment scouring rate at different locations of storm sewer

Analysis and calculation of sediment scouring rate at different locations of storm sewer

SewerSedFoam: A Model for Free Surface Flow, Sediment Transport, and Deposited Bed Morphology in Sewers

Critical shear stress of trout feed and implications for particulate transport in flow through raceways

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