Revised regional sediment yield prediction methodology for ungauged catchments in South Africa

dc.contributor.authorMsadala, V. C.en_ZA
dc.contributor.authorBasson, G. R.en_ZA
dc.date.accessioned2018-10-24T08:59:33Z
dc.date.available2018-10-24T08:59:33Z
dc.date.issued2017-06
dc.descriptionCITATION: Msadala, V. C. & Basson, G. R. 2017. Revised regional sediment yield prediction methodology for ungauged catchments in South Africa. Journal of the South African Institution of Civil Engineering, 59(2):28-36, doi:10.17159/2309-8775/2017/v59n2a4.
dc.descriptionThe original publication is available at http://www.scielo.org.za
dc.description.abstractENGLISH ABSTRACT: This paper presents the research on the revision of the regional probabilistic method (Rooseboom et al 1992) for the prediction of catchment sediment yields in South Africa. The determination of sediment yields using probabilistic or empirical methods is suitable for ungauged catchments in the absence of observed data. The prediction of sediment loads is a key component in the quest to deal with reservoir and river sedimentation which is a potential threat to the sustainability of water resources in southern Africa. The revision was necessitated by increased sediment data availability and improved data analysis tools. Ten new sediment yield regions were demarcated in South Africa and Lesotho. Two analytical approaches were developed, namely probabilistic and empirical. The probabilistic approach is applicable in sediment yield Regions 3, 6 and 9. The empirical approach is applicable in sediment yield Regions 1, 2, 4, 5, 7 and 8. The estimation of sediment yields in Region 10 (Lesotho Highlands) needs to be based on direct measurements and locally observed data since no adequate analysis of sediment loads was possible due to limited data. GIS and electronic portable document file (pdf) copies of maps were produced for the retrieval of catchment data.en_ZA
dc.description.urihttp://www.scielo.org.za/scielo.php?script=sci_abstract&pid=S1021-20192017000200004
dc.description.versionPublisher's version
dc.format.extent9 pages : illustrations, mapsen_ZA
dc.identifier.citationMsadala, V. C. & Basson, G. R. 2017. Revised regional sediment yield prediction methodology for ungauged catchments in South Africa. Journal of the South African Institution of Civil Engineering, 59(2):28-36, doi:10.17159/2309-8775/2017/v59n2a4
dc.identifier.issn2309-8775 (online)
dc.identifier.issn1021-2019 (print)
dc.identifier.otherdoi:10.17159/2309-8775/2017/v59n2a4
dc.identifier.urihttp://hdl.handle.net/10019.1/104600
dc.language.isoen_ZAen_ZA
dc.publisherSouth African Institution of Civil Engineering
dc.rights.holderAuthors retain copyright
dc.subjectSedimentary basinsen_ZA
dc.subjectCatchment basinsen_ZA
dc.subjectSedimentation analysisen_ZA
dc.titleRevised regional sediment yield prediction methodology for ungauged catchments in South Africaen_ZA
dc.typeArticleen_ZA
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