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206406

Performance of Deep Bed Sand Filters in Nom Removal from Water under Different Operational Conditions.

Article

Last updated: 04 Jan 2025

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Subjects

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Tags

Public Works Engineering

Abstract

One of the most harmful water contaminants is the natural organic matter (NOM) which is a heterogeneous mixture of naturally occurring organic compounds. That NOM causes aesthetic problems such as color, taste and odor. Accordingly, the existence of NOM in water sets challenges to the drinking water industry and water treatment facilities in terms of operational optimization and proper process design and control. The current research aims to experimentally investigate the performance of deep bed sand filters in removing NOM accompanied with turbidity from water under different operational conditions, particularly, rate of filtration, alum dose and NOM concentration level. The results demonstrated that the removal of high concentrations of NOM in water is recommended to be achieved via using rates of filtration up to moderate values while lower concentrations of NOM are recommended to be removed through slow rates of filtration only. the current-employed deep bed sand filter is found to be able to reduce the NOM concentrations in the effluent water to nearly one-third or less. Additionally, the highest alum dose among the proposed ones (15 mg/L) is suitable to remove most of the NOM in the case of low and high influent NOM concentrations. Yet, an alum dose of only 5 mg/L is sufficient to remove most of the NOM in the case of moderate influent NOM.

DOI

10.21608/bfemu.2021.206406

Keywords

NOM, Turbidity, Deep bed sand filter, Alum dose, Rate of filtration

Authors

First Name

Muharram

Last Name

Allaa El Din

MiddleName

Fouad Abdo

Affiliation

Head of the Department of Public Works Engineering, Faculty of Engineering, Mansoura University

Email

mf12317@gmail.com

City

-

Orcid

-

First Name

kamal

Last Name

Radwan

MiddleName

-

Affiliation

Associate Professor at the Department of Public Works Engineering, Faculty of Engineering, Mansoura University

Email

kamalradwan58@gmail.com

City

-

Orcid

-

First Name

eman

Last Name

mahmoud sarhan

MiddleName

ahmed

Affiliation

Demonstrator at Faculty of Engineering, Delta University for Science & Technology

Email

eng_emansarhan@yahoo.com

City

Mansoura

Orcid

-

Volume

46

Article Issue

4

Related Issue

28611

Issue Date

2021-12-01

Receive Date

2021-09-09

Publish Date

2021-11-25

Page Start

8

Page End

16

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 46_Issue 4_Pages 8-16.pdf

PDF . 1.1MB

Link

https://bfemu.journals.ekb.eg/article_206406.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=206406

Order

22

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

Performance of Deep Bed Sand Filters in Nom Removal from Water under Different Operational Conditions.

Details

Type

Article

Created At

22 Jan 2023