Simple Equations to Express Settling Column Data

Özer, Adem

doi:10.1061/(asce)0733-9372(1994)120:3(677)

Cited by 17 publications

(7 citation statements)

References 2 publications

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“…The results in figure 2 also suggest that values of b that are close to 1 produce more practical results since the qualitative behavior in such cases were similar to the results in € Ozer (1994), where an empirical model for remaining concentration percentages in settling-column tests was proposed. However, both a Ã and b can be inferred easily, through the calibration of the numerical results compared with the experimental data of settling-column tests.…”

Section: Simulation Results and Discussionsupporting

confidence: 69%

Estimating remaining concentration-percentages of resuspended sediments via a non-local particle model for flocculation

Abdallah

Pasquali

Lisi

et al. 2020

Aquatic Ecosystem Health &Amp; Management

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Maritime works often require sediment handling activities such as dredging and disposal, to maintain harbors and channels, nourish sandy beaches as well as to carefully remove and relocate contaminated materials from the bottom of estuarine and coastal areas. Such operations often lead to an increase in the concentration of suspended sediments in water columns, which in turn causes adverse effects on water quality and aquatic lives. Minimizing these detrimental impacts require designing such maritime works with care, by paying attention to the geometry of areas affected by the sediment resuspension. Numerical modeling has been recognized as a valuable tool to help designers and contractors to optimize such sediment handling works. In obtaining such, one of the most challenging aspects to be tackled is the estimation of the settling velocity of the fine-grained mixture that results from sediment resuspension. These settling velocities are affected by a phenomenon known as flocculation. In this paper, the concept of non-local interacting particles was used to formulate a one-dimensional model for the flocculation phenomenon. Also, a (deterministic) particle transport equation was formulated to reproduce the settling behavior of suspended sediments in a settling column. The proposed model was solved numerically. The simulation results provide an understanding of the mechanisms of flocculation and highlight how flocculation influences floccule-settling velocities and concentration percentages of sediments that remain in suspension.

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Section: Simulation Results and Discussionsupporting

confidence: 69%

Estimating remaining concentration-percentages of resuspended sediments via a non-local particle model for flocculation

Abdallah

Pasquali

Lisi

et al. 2020

Aquatic Ecosystem Health &Amp; Management

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show abstract

“…As far as DEP is concerned, there are many formulations available in the literature (e.g., [59][60][61][62][63][64]). For the deposition of non-cohesive sediments, it is possible to refer to the formulation proposed by Stokes, based on the assumption that the flow is in a viscous regime.…”

Section: Sediment Transport and Deposition Modelingmentioning

confidence: 99%

Mathematical Modeling Framework of Physical Effects Induced by Sediments Handling Operations in Marine and Coastal Areas

Lisi

Feola

Bruschi

et al. 2019

JMSE

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In recent years increasing attention has been paid to environmental effects that may result from marine dredging and disposal operations. In general, the fine-grained fraction of handled sediments can be dispersed far from the intervention site as a turbidity plume, depending on the specific site and operational parameters. Starting from a literature review, this paper suggests standards for estimating and characterizing the sediment source term, for setting up far-field modeling studies and analyzing numerical results, with the aim of optimizing, also from an economic point of view, the different project, execution and monitoring phases. The paper proposes an integrated modeling approach for simulating sediment dispersion due to sediment handling operations in different marine-coastal areas (off-shore, near-shore and semi-enclosed basins). Attention is paid to the characterization of sediment source terms due to different operational phases (removal, transport and disposal). The paper also deals with the definition of accuracy level of modeling activities, with regard to the main physical processes characterizing the different marine–coastal areas and to the type of environmental critical issues near the intervention site (if any). The main relationships between modeling and monitoring are given for the different design and management phases to support the selection of appropriate technical alternatives and monitoring actions and to ensure the environmental compliance of the proposed interventions.

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“…Several researchers [4][5][6]81 have developed mathematical equations for isofractional concentration removal curves that can be used for analyzing settling test data. The four empirical models considered for comparison are briefly discussed in this section.…”

Section: Overview Of Empirical Models Of Flocculent Settlingmentioning

confidence: 99%

Evaluation of mathematical models for analyzing flocculent settling data

Kim

2002

Environ. Prog.

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The objective of this paper is to evaluate the reliability of four mathematical modek;-Bevehouex and Stevens' 141 Sank i141, Ozer's [GI, and the rule-based method-that can be used to fit flocculent settling data. Each approach was critically reviewed for its strengths and limitations, and investigated for itsfltting capability using the data obtained from the authors' research and the mk&d references. lhree compr&on c r i t d , goodness-of$t, mathematical consktency, and design results, were used. lhe resultsjbm thb study show that the rule-based approach yielded considerably lower sum of square error (SSE) than the other al?proaches. Berthom and Stevens' approach violated the criterion of constraints for all the data sets. For the design results for a m g e ES removal eflciency, all approaches except Berthouex and Stevens' method.showed relatively consistent results. But, in terms of reliability, the rule-based approach provided better results than the other a@tvaches.

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Simple Equations to Express Settling Column Data

Cited by 17 publications

References 2 publications

Estimating remaining concentration-percentages of resuspended sediments via a non-local particle model for flocculation

Estimating remaining concentration-percentages of resuspended sediments via a non-local particle model for flocculation

Mathematical Modeling Framework of Physical Effects Induced by Sediments Handling Operations in Marine and Coastal Areas

Evaluation of mathematical models for analyzing flocculent settling data

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