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Water quality modelling and quantitative microbial risk assessment for uMsunduzi River in South Africa

dc.contributor.authorNgubane, Zesizween_US
dc.contributor.authorBergion, Viktoren_US
dc.contributor.authorDzwairo, Bloodlessen_US
dc.contributor.authorTroell, Karinen_US
dc.contributor.authorAmoah, Isaac Dennisen_US
dc.contributor.authorStenstrom, Thor Axelen_US
dc.contributor.authorSokolova, Ekaterinaen_US
dc.date.accessioned2022-05-16T13:09:14Z
dc.date.available2022-05-16T13:09:14Z
dc.date.issued2022-04
dc.date.updated2022-05-12T13:55:08Z
dc.description.abstractSouth 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 R<sup>2</sup> 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.en_US
dc.format.extent16 p.en_US
dc.format.mediumPrint
dc.identifier.citationNgubane, 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.2022.266en_US
dc.identifier.doi10.2166/wh.2022.266
dc.identifier.issn1477-8920
dc.identifier.issn1996-7829 (Online)
dc.identifier.otherisidoc: 0V3JI
dc.identifier.otherpubmed: 35482381
dc.identifier.urihttps://hdl.handle.net/10321/3965
dc.language.isoenen_US
dc.publisherIWA Publishingen_US
dc.relation.ispartofJournal of Water and Health; Vol. 20, Issue 4en_US
dc.subjectCryptosporidiumen_US
dc.subjectEscherichia coli (E. coli)en_US
dc.subjectQMRAen_US
dc.subjectSWATen_US
dc.subjectuMsunduzi Riveren_US
dc.subjectwater quality modellingen_US
dc.subjectMicrobiologyen_US
dc.subject.meshHumans
dc.subject.meshCryptosporidium
dc.subject.meshEscherichia coli
dc.subject.meshCryptosporidiosis
dc.subject.meshRisk Assessment
dc.subject.meshRivers
dc.subject.meshSouth Africa
dc.subject.meshWater Quality
dc.subject.meshCryptosporidiosis
dc.subject.meshCryptosporidium
dc.subject.meshEscherichia coli
dc.subject.meshHumans
dc.subject.meshRisk Assessment
dc.subject.meshRivers
dc.subject.meshSouth Africa
dc.subject.meshWater Quality
dc.titleWater quality modelling and quantitative microbial risk assessment for uMsunduzi River in South Africaen_US
dc.typeArticleen_US
local.sdgSDG06

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