The properties and removal efficacies of natural organic matter fractions by South African drinking water treatment plants

Moyo, Welldone; Chaukura, Nhamo; Msagati, Titus A.M.; Mamba, Bhekie B.; Heijman, S.G.J.; Nkambule, Thabo T.I.

doi:10.1016/j.jece.2019.103101

Cited by 19 publications

(9 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In some previous studies such an approach was lacking. A study by [61] evaluated the removal capabilities of natural organic matter (NOM) from South African water treatment plants. Even though the authors could compare the treatment plants for their ability to remove NOM, no statistical significance was used in the comparisons.…”

Section: S Rrna Gene Profilingmentioning

confidence: 99%

Combining physicochemical properties and microbiome data to evaluate the water quality of South African drinking water production plants

et al. 2020

View full text Add to dashboard Cite

Anthropogenic activities in catchments used for drinking water production largely contaminates source waters, and this may impact the quality of the final drinking water product. These contaminants may also affect taxonomic and functional profiles of the bacterial communities in the drinking water. Here, we report an integrated insight into the microbiome and water quality of four water treatment plants (NWC, NWE, WCA and NWG) that supply portable water to communities in South Africa. A new scoring system based on combined significant changes of physicochemical parameters and microbial abundance from raw to treated water was used to evaluate the effectiveness of the treatment plants at water purification. Physicochemical parameters which include total soluble solids, turbidity, pH, nitrites and phosphorus among others, were measured in source, treated, and distributed water. There were general statistically significant (P � 0.05) differences between raw and treated water, demonstrating the effectiveness of the purification process. Illumina sequencing of the 16S rRNA gene was used for taxonomic profiling of the microbial communities and this data was used to infer functional attributes of the communities. Structure and composition of the bacterial communities differed significantly (P < 0.05) among the treatment plants, only NWE and NWG showed no significant differences (P > 0.05), this correlated with the predicted functional profile of the microbial communities obtained from Phylogenetic Investigation of Communities by Reconstruction of Observed States (PICRUSt), as well as the likely pollutants of source water. Bacteroidetes, Chlorobi and Fibrobacteres significantly differed (P < 0.05) between raw and distributed water. PICRUSt inferred a number of pathways involved in the degradation of xenobiotics such as Dichlorodiphenyltrichloroethane, atrazine and polycyclic aromatic hydrocarbons. More worryingly, was the presence of pathways involved in beta-lactam resistance, potential pathogenic Escherichia coli infection, Vibrio cholerae infection, and Shigellosis. Also present in drinking and treated water were OTUs associated with a number of opportunistic pathogens.

show abstract

Section: S Rrna Gene Profilingmentioning

confidence: 99%

Combining physicochemical properties and microbiome data to evaluate the water quality of South African drinking water production plants

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The calculation of different fluorescence indices was carried out as follows: For HIX, at the excitation wavelength of 254 nm, the sum of the fluorescence peaks between 435 and 480 nm was divided by the sum of the fluorescence peaks between 300 and 345 nm and the fluorescence peaks between 435 and 480 nm (i.e., λ Ex = 254 nm; F max435~480nm /(F max300~345nm +F max435~480nm )) [25]. The freshness index was the maximum fluorescence intensity ratio in the 420-435 nm range of fluorescence intensity at the 380 nm emission wavelength and the excitation wavelength of 310 nm (i.e., λ Ex = 310 nm and F 380nm /F max420~435nm ) [26].…”

Section: Determination Of Three-dimensional Fluorescence Spectra Of Water Samples During Microcystis Aeruginosa Bloomsmentioning

confidence: 99%

Characteristics of Fluorescence Spectra, UV Spectra, and Specific Growth Rates during the Outbreak of Toxic Microcystis Aeruginosa FACHB-905 and Non-Toxic FACHB-469 under Different Nutrient Conditions in a Eutrophic Microcosmic Simulation Device

Wang

Pang

et al. 2020

Water

View full text Add to dashboard Cite

Microcystis aeruginosa is the dominant alga forming cyanobacteria blooms, the growth of which is limited by available nutrients. Thus, it is necessary to study cyanobacteria blooms and explore the growth of Microcystis aeruginosa under different nutrient conditions. In this paper, we take Microcystis aeruginosa, including toxic Freshwater Algae Culture of Hydrobiology Collection (FACHB)-905 and non-toxic FACHB-469 strains, into account. The strains were cultured using a simulation device under different nutrient conditions. Ultraviolet spectra, three-dimensional fluorescence spectra, and kinetic parameter indicators of the two species are studied. Compared to FACHB-469, the results show that the specific growth rate of FACHB-905 is much higher, in particular, FACHB-905 is the dominant species under low nutrient conditions. Furthermore, the UV spectral characteristics indicate that the molecular weight of dissolved organic matter in the culture tank of toxic FACHB-905 is greater than that of FACHB-469. Additionally, the humification index of toxic FACHB-905 is slightly higher as well, which suggests that it is more stable in the presence of dissolved organic matter during blooms. Therefore, the toxic Microcystis strain is more likely to become the dominant species in water blooms under lower eutrophic conditions and water blooms formed by the toxic Microcystis strain may be more difficult to recover from.

show abstract

“…Current research uses properties such as biodegradable dissolved organic carbon (BDOC), fluorescence intensity, molecular weight, polarity, and UV absorption to characterize NOM (Chen et al, 2017;He et al, 2013;Moyo et al, 2019). The BDOC fraction is the fraction of NOM that is utilized by bacteria for growth.…”

Section: Introductionmentioning

confidence: 99%

Characterization of natural organic matter in South African drinking water treatment plants: Towards integrating ceramic membrane filtration

Moyo

Motsa

Chaukura

et al. 2022

Water Environment Research

Self Cite

View full text Add to dashboard Cite

This work presents the first comprehensive investigation of natural organic matter (NOM) fraction removal using ceramic membranes in South Africa. The rate of removal of bulk NOM (measured as UV 254 and DOC % removal), the biodegradable dissolved organic carbon (BDOC) fraction, polarity-based fractions, and fluorescent dissolved organic carbon (FDOM) fractions was investigated from water abstracted from drinking water treatment plants (WTPs) in South Africa.Further, mechanisms of ceramic membrane fouling by waters of South Africa were studied. Ceramic membranes removed more than 80% DOC from samples from coastal WTPs, whereas for inland plants, the removal was between 60% and 75% of DOC. FDOM was removed to at least 80% regardless of the site of the plant. The BDOC removal by the ceramic membranes was above 85%. The hydrophobic fraction was the most amenable to removal by ceramic membranes regardless of the site of sample abstraction (above 60% for all sites). The freshness index (β:α) correlated strongly to UV 254 removal (R 2 = 0.96), thus UV 254 removal can serve as a proxy for the susceptibility to removal of such class of NOM by ceramic membranes. This investigation demonstrated that ceramic membranes could be a valuable technology if integrated into the existing WTPs. Practitioner Points• The removal of bulk parameters by ceramic membrane was greater than unit conventional processes used in all the sampled water treatment plants.• The hydrophobic polarity-based fraction of NOM was the most amenable to removal by ceramic membranes regardless of the site of the WTP.• Polarity-based fractions, aromaticity, and initial DOC had a combined influence on the removal of organic matter by ceramic membranes as explained by principal component three.

show abstract

The properties and removal efficacies of natural organic matter fractions by South African drinking water treatment plants

Abstract: The properties and removal efficacies of natural organic matter fractions by South African drinking water treatment plants

Cited by 19 publications

References 52 publications

Combining physicochemical properties and microbiome data to evaluate the water quality of South African drinking water production plants

Combining physicochemical properties and microbiome data to evaluate the water quality of South African drinking water production plants

Characteristics of Fluorescence Spectra, UV Spectra, and Specific Growth Rates during the Outbreak of Toxic Microcystis Aeruginosa FACHB-905 and Non-Toxic FACHB-469 under Different Nutrient Conditions in a Eutrophic Microcosmic Simulation Device

Characterization of natural organic matter in South African drinking water treatment plants: Towards integrating ceramic membrane filtration

Contact Info

Product

Resources

About