A methodology of finding dispersion coefficient using computational fluid dynamics (CFDs)

Rouzbeh Abbassi; Faisal  Khan; Kelly  Hawboldt

A methodology of finding dispersion coefficient using computational fluid dynamics (CFDs)

Rouzbeh Abbassi, Faisal Khan, Kelly Hawboldt

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Abstract

The treatment efficiency of waste stabilization pond is directly related to its hydraulic regime. The hydraulic efficiency of the pond is dependent on parameters such as the pond geometry, the location of inlet and outlet and the inlet flow velocity. Poorly designed or specified hydraulic parameters may lead to short circuiting and dead regions within the pond. This in turn impacts the dispersion coefficient. Drogue and tracer studies are often used to get actual dispersion coefficients; however, tracer studies can be costly and are therefore not practical to do frequently. The objective of this paper is to obtain the actual dispersion coefficient using computational fluid dynamic (CFD) approach (using Fluent). The CFD results are validated using an actual tracer test.

Original language	English
Article number	84D2B851758
Pages (from-to)	114-120
Number of pages	7
Journal	International Journal of Water Resources and Environmental Engineering
Volume	2
Issue number	5
Publication status	Published - 2010
Externally published	Yes

Bibliographical note

Copyright the Author(s) 2010. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

stabilization pond
modeling
computational fluid dynamic
residence time distribution
dispersion coefficient

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Publisher version (open access)Final published version, 308 KBLicence: CC BY

http://www.academicjournals.org/journal/IJWREE/article-abstract/84D2B851758Licence: CC BY

Cite this

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title = "A methodology of finding dispersion coefficient using computational fluid dynamics (CFDs)",

abstract = "The treatment efficiency of waste stabilization pond is directly related to its hydraulic regime. The hydraulic efficiency of the pond is dependent on parameters such as the pond geometry, the location of inlet and outlet and the inlet flow velocity. Poorly designed or specified hydraulic parameters may lead to short circuiting and dead regions within the pond. This in turn impacts the dispersion coefficient. Drogue and tracer studies are often used to get actual dispersion coefficients; however, tracer studies can be costly and are therefore not practical to do frequently. The objective of this paper is to obtain the actual dispersion coefficient using computational fluid dynamic (CFD) approach (using Fluent). The CFD results are validated using an actual tracer test.",

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T1 - A methodology of finding dispersion coefficient using computational fluid dynamics (CFDs)

AU - Abbassi, Rouzbeh

AU - Khan, Faisal

AU - Hawboldt , Kelly

N1 - Copyright the Author(s) 2010. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2010

Y1 - 2010

N2 - The treatment efficiency of waste stabilization pond is directly related to its hydraulic regime. The hydraulic efficiency of the pond is dependent on parameters such as the pond geometry, the location of inlet and outlet and the inlet flow velocity. Poorly designed or specified hydraulic parameters may lead to short circuiting and dead regions within the pond. This in turn impacts the dispersion coefficient. Drogue and tracer studies are often used to get actual dispersion coefficients; however, tracer studies can be costly and are therefore not practical to do frequently. The objective of this paper is to obtain the actual dispersion coefficient using computational fluid dynamic (CFD) approach (using Fluent). The CFD results are validated using an actual tracer test.

AB - The treatment efficiency of waste stabilization pond is directly related to its hydraulic regime. The hydraulic efficiency of the pond is dependent on parameters such as the pond geometry, the location of inlet and outlet and the inlet flow velocity. Poorly designed or specified hydraulic parameters may lead to short circuiting and dead regions within the pond. This in turn impacts the dispersion coefficient. Drogue and tracer studies are often used to get actual dispersion coefficients; however, tracer studies can be costly and are therefore not practical to do frequently. The objective of this paper is to obtain the actual dispersion coefficient using computational fluid dynamic (CFD) approach (using Fluent). The CFD results are validated using an actual tracer test.

KW - stabilization pond

KW - modeling

KW - computational fluid dynamic

KW - residence time distribution

KW - dispersion coefficient

M3 - Article

VL - 2

SP - 114

EP - 120

JO - International Journal of Water Resources and Environmental Engineering

JF - International Journal of Water Resources and Environmental Engineering

IS - 5

M1 - 84D2B851758

ER -

A methodology of finding dispersion coefficient using computational fluid dynamics (CFDs)

Abstract

Bibliographical note

Keywords

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