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

Document Type : Research Studies

Authors

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

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

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

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.

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MEJ- Mansoura Engineering Journal
Volume 46, Issue 4
December 2021
Pages 8-16

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