Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/3965
Title: Water quality modelling and quantitative microbial risk assessment for uMsunduzi River in South Africa
Authors: Ngubane, Zesizwe 
Bergion, Viktor 
Dzwairo, Bloodless
Troell, Karin 
Amoah, Isaac Dennis
Stenstrom, Thor Axel
Sokolova, Ekaterina 
Keywords: Cryptosporidium;Escherichia coli (E. coli);QMRA;SWAT;uMsunduzi River;water quality modelling;Microbiology
Issue Date: Apr-2022
Publisher: IWA Publishing
Source: Ngubane, Z. et al. 2022. Water quality modelling and quantitative microbial risk assessment for uMsunduzi River in South Africa. Journal of Water and Health. 20(4): 641-656. doi:10.2166/wh.2022.266
Journal: Journal of Water and Health; Vol. 20, Issue 4 
Abstract: 
South African rivers generally receive waste from inadequate wastewater infrastructure, mines, and farming activities, among others. The uMsunduzi River in KwaZulu-Natal, South Africa, is among these recipients with recorded poor to very poor water quality. To identify parts of the uMsunduzi River that are polluted by Cryptosporidium and Escherichia coli (E. coli), this study mapped out pollutants emanating from point and non-point sources using the Soil and Water Assessment Tool (SWAT). Streamflow calibration in the upper and lower reaches of the catchment showed good performance with R2 of 0.64 and 0.58, respectively. SWAT water quality output data were combined with a Quantitative Microbial Risk Assessment (QMRA) to understand the microbial health implications for people using river water for drinking, recreational swimming, and non-competitive canoeing. QMRA results for Cryptosporidium and pathogenic E. coli showed that the probability of infection for most users exceeds the acceptable level for drinking and recreation as outlined in the South African water quality guidelines, and by the World Health Organization (WHO). The results of this study can be used as a baseline to assess the economic and health implications of different management plans, resulting in better-informed, cost-effective, and impactful decision-making.
URI: https://hdl.handle.net/10321/3965
ISSN: 1477-8920
1996-7829 (Online)
DOI: 10.2166/wh.2022.266
Appears in Collections:Research Publications (Engineering and Built Environment)

Files in This Item:
File Description SizeFormat
ArticleNgubaneZ etal_2022.pdfarticle848.21 kBAdobe PDFView/Open
Show full item record

Page view(s)

25
checked on Jun 28, 2022

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.