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dc.contributorNouwakpo, Sayjroen_US
dc.contributorHuang, Chien_US
dc.contributorKlik, Andreasen_US
dc.creatorStrohmeier, Stefanen_US
dc.date.accessioned2017-07-24T01:46:50Z
dc.date.available2017-07-24T01:46:50Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationStefan Strohmeier, Sayjro Nouwakpo, Chi Huang, Andreas Klik. (28/7/2014). Flume experimental evaluation of the effect of rill flow path tortuosity on rill roughness based on the Manning–Strickler equatio. CATENA, 118, pp. 226-233.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/7340
dc.description.abstractNumerous soil erosion models compute concentrated flow hydraulics based on the Manning–Strickler equation (v = kSt R2/3 I1/2) even though the range of the application on rill flow is unclear. Unconfined rill morphologies generate local friction effects and consequently spatially variable rill roughness which is in conflict with the assumptions of (sectional) uniform channel flow and constant channel roughness of the Manning–Strickler equation. The objective of this study is to evaluate the effect of rill morphology on roughness and hence to assess the Manning–Strickler roughness coefficient (kSt) by rill morphological data. A laboratory experiment was set up to analyse rill hydraulics and roughness of I.) Free Developed Rill (FDR) flows and II.) Straight Constrained Rill (SCR) flows in the flume. The flume experiment generated Manning–Strickler roughness coefficients (kSt) between 22 m1/3 s−1 and 44 m1/3 s−1 reflecting a potential area of the roughness parameter uncertainty. It was found that FDR experiments generated significantly lower kSt values compared to SCR experiments, because skin and local friction effects in the FDR experiments were more efficient reducing flow velocity probably due to higher energy dissipation. Rill flow path tortuosity (Tort) was used to describe the rill morphology of the experiments and correlation statistics between Tort and kSt identified considerable explanatory capacity of rill flow path tortuosity on rill roughness. The flume study demonstrated that a regression model between Tort and kSt can be used to assess local friction effects of unconfined rill morphologies and hence to reduce the area of uncertainty of the Manning–Strickler roughness parameteren_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherElsevieren_US
dc.sourceCATENA;118,(2014) Pagination 226-233en_US
dc.subjectrill morphologyen_US
dc.subjectmanning–strickler roughnessen_US
dc.subjectflume experimenten_US
dc.titleFlume experimental evaluation of the effect of rill flow path tortuosity on rill roughness based on the Manning–Strickler equatioen_US
dc.typeJournal Articleen_US
dcterms.available2014-07-28en_US
dcterms.extent226-233en_US
cg.creator.idStrohmeier, Stefan: 0000-0003-0723-5964en_US
cg.subject.agrovocrill erosionen_US
cg.contributor.centerUniversity of Natural Resources and Life Sciences, Center for Development Research - BOKU - CDRen_US
cg.contributor.centerUnited States Department of Agriculture, Agricultural Research Service - USDA-ARSen_US
cg.contributor.centerUniversity of Nevada-Reno - UNRen_US
cg.contributor.centerUniversity of Natural Resources and LIfe Science - BOKUen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-date2114-07-28en_US
cg.coverage.regionNorthern Americaen_US
cg.coverage.countryUSen_US
cg.contactstefan.strohmeier@boku.ac.aten_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.catena.2014.01.011en_US
cg.isijournalISI Journalen_US
dc.identifier.statusLimited accessen_US
mel.impact-factor3.191en_US
cg.issn0341-8162en_US
cg.journalCATENAen_US
cg.volume118en_US


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