Monitoring the characteristics and removal of natural organic matter fractions in selected south african water treatment plants

Journal Article (2020)
Author(s)

Welldone Moyo (University of South Africa)

Nhamo Chaukura (University of South Africa, Sol Plaatje University)

Machawe M. Motsa (University of South Africa)

Titus A.M. Msagati (University of South Africa)

Bhekie B. Mamba (University of South Africa)

Sebastiaan Heijman (TU Delft - Sanitary Engineering)

Thabo T.I. Nkambule (University of South Africa)

Research Group
Sanitary Engineering
Copyright
© 2020 Welldone Moyo, Nhamo Chaukura, Machawe M. Motsa, Titus A.M. Msagati, Bhekie B. Mamba, Sebastiaan Heijman, Thabo T.I. Nkambule
DOI related publication
https://doi.org/10.2166/wpt.2020.075
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Welldone Moyo, Nhamo Chaukura, Machawe M. Motsa, Titus A.M. Msagati, Bhekie B. Mamba, Sebastiaan Heijman, Thabo T.I. Nkambule
Research Group
Sanitary Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Issue number
4
Volume number
15
Pages (from-to)
932-946
Reuse Rights

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Abstract

This study used spectroscopic methods to investigate the fate and dynamics of natural organic matter (NOM) as it traverses the treatment train at three water treatment plants (WTPs) in South Africa. The character, quantity, and removability of NOM at specific treatment stages was investigated by measuring changes in dissolved organic carbon (DOC) concentration, specific ultra-violet absorbance, UV absorbance, various spectroscopic indices, and maximum fluorescence intensity levels. A novel method of identifying and quantifying fluorescent fractions by combining synchronous fluorescence spectroscopy (SFS) and Gaussian peak fitting is presented. The dynamics of NOM removal were modeled using 2D-SFS correlation spectroscopy. Humic and fulvic substances dominated coastal plants and were the most amenable for removal by coagulation as shown by Hermanus WTP (plant H), which had a 42% DOC removal at the coagulation stage. Tyrosine-like, tryptophan-like and microbial humic-like substances were degraded or transformed concurrently at plant Flag Bushiole (FB) whereas, at plant H, fulvic-like matter was transformed first followed by tyrosine-like then humic-like matter. Through 2D-SFS, this study revealed that NOM transformation was varied as a consequence of NOM character, the type and dosage of treatment chemicals used, and WTPs operational parameters.

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