Effects of Backwashing on the Characteristics of Sand Filtration Effluents: Organic and Microbial Analyses

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In this study, the head loss, turbidity, particle size, and zeta potential were monitored from the effluent of the sand filtration system after backwashing located in Cheng-Ching Lake (CCL) Water Treatment Plant. Moreover, the non-purgeable dissolved organic matter (NPDOC) and excitation emission fluorescent matrix (EEFM) were measured for the collected water samples with or without the pretreatment process. Results indicate that the turbidity of the influent dropped to 0.06 NTU and remained stable after flowing through the sand filter during the 4-hr operation period. However, a continuous increase of the head loss and sand particle size for the sand filter was observed. This phenomenon was opposite with the absolute value of zeta potential. The water samples were collected from the effluent of the sand filter and were treated by a 0.2 μm membrane filter. Thus, higher NPDOC values of sample without pretreatment were observed in comparison with sample with treatment. Results indicate that the sand filter was able to remove NPDOC, and bacteria might proliferate among the sand filter in rapid filtration. Results from the EEFM analyses show that effluents without membrane filtration pretreatment contained a higher percentage of aromatic protein. Compared to the water samples without pretreatment, more humic-like substance was found in the effluent. This reveals that microbial products or bacteria were detached from the fillers after the backwashing process.

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2921-2925

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] N.J. McCormick, M. Porter, M.E. Walsh, Disinfection by-products in filter backwash water: implications to water quality in recycle designs, Water research, 44 (2010) 4581-4589.

DOI: 10.1016/j.watres.2010.05.042

Google Scholar

[2] J.F. Colton, P. Hillis, C.S.B. Fitzpatrick, Filter backwash and start-up strategies for enhanced particulate removal, Wat. Res., 30 (1996) 2502-2507.

DOI: 10.1016/0043-1354(96)00085-1

Google Scholar

[3] S. Determann, J.M. Lobbes, R. Reuter, J. Rullkötter, Ultraviolet fluorescence excitation and emission spectroscopy of marine algae and bacteria, Marine Chemistry, 62 (1998) 137-156.

DOI: 10.1016/s0304-4203(98)00026-7

Google Scholar

[4] K. Mopper, C.A. Schultz, Fluorescence as a possible tool for studying the nature and water column distribution of DOC components, Marine Chemistry, 41 (1993) 229-238.

DOI: 10.1016/0304-4203(93)90124-7

Google Scholar

[5] W. Chen, P. Westerhoff, J.A. Leenheer, K. Booksh, Fluorescence excitation - Emission matrix regional integration to quantify spectra for dissolved organic matter, Environmental science & technology, 37 (2003) 5701-5710.

DOI: 10.1021/es034354c

Google Scholar

[6] Y.H. Chuang, G.S. Wang, H.H. Tung, Chlorine residuals and haloacetic acid reduction in rapid sand filtration, Chemosphere, 85 (2011) 1146-1153.

DOI: 10.1016/j.chemosphere.2011.08.037

Google Scholar

[7] W.L. Lai, L.F. Chen, S.W. Liao, S.L. Hsu, L.H. Tseng, C.L. Miaw, Using EEFM (Excitation emission fluorescence matrix) to differentiate the organic properties of the effluents from the ozonated biofilters, Water Air and Soil Pollution, 186 (2007).

DOI: 10.1007/s11270-007-9461-6

Google Scholar

[8] Y. Wang, F. Hammes, N. Boon, T. Egli, Quantification of the filterability of freshwater bacteria through 0. 45, 0. 22, and 0. 1 μm Pore size filters and shape-dependent enrichment of filterable bacterial communities, Environ. Sci. Technol., 41 (2007).

DOI: 10.1021/es0707198

Google Scholar