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Flow resistance prediction in high-gradient streams

dc.contributor.authorYochum, Steven Edward, author
dc.contributor.authorBledsoe, Brian P., advisor
dc.contributor.authorRathburn, Sara L., 1962-, committee member
dc.contributor.authorWatson, Chester C., committee member
dc.contributor.authorWohl, Ellen E., 1962-, committee member
dc.coverage.spatialColorado
dc.date.accessioned2007-01-03T05:56:09Z
dc.date.available2007-01-03T05:56:09Z
dc.date.issued2010
dc.descriptionZip file contains data spreadsheet.
dc.description.abstractFlow resistance measurements were collected on high-gradient streams in the Fraser Experimental Forest, Colorado, for bankfull through low flows using Rhodamine WT dye tracing, ground-based LiDAR scans, and laser theodolite surveying of longitudinal profiles and below-water features. A dataset of 59 resistance measurements was collected on fifteen reaches with instream wood present in varying densities. Values of Manning's n ranged from 0.05 to 0.52, and Darcy-Weisbach ƒ varied from 0.28 to 56. All measurements indicated subcritical reach-average conditions, with Froude numbers ranging from 0.15 to 0.78. Relative grain submergence (R/D84) was a poor predictor of flow resistance while relative bedform submergence, defined as the ratio of depth or hydraulic radius to the standard deviation of the residuals of a bed profile regression (hm/σz, R σz), explained up to 76 and 80 percent of the variance of n and ƒ, respectively. Both clasts and instream wood contribute to bed variability; steps are heightened by wood lodging among the clast steps. Hence relative bedform submergence captures the combined influence of wood and clasts, which contribute both form and spill resistance. Relative bedform submergence is less effective for prediction in reaches with substantial non-step-forming instream wood and in steep channels. In the steepest reaches, with slopes over about 18 percent, the data indicate a shift towards a skimming regime with a partial submergence of bedforms and a threshold reduction in flow resistance. Three-dimensional measures of geometric variability were explored, to assess the correlation of flow resistance with higher-order spatial variation due to composite effects of bedforms, large clasts, and instream wood. With the exclusion of bank effects, a normalized variable (ha3/σz3) explained 77 and 81 percent of the variance of n and ƒ, respectively. Multivariate regression models with variables describing bedforms, bankforms, and instream wood explained 87 percent of the variance of n and ƒ. On average, flow resistance due to bedforms (form and spill) are the greatest contributor to overall flow resistance in these high-gradient streams, followed by form resistance generated by bankforms, and lastly, by form resistance induced by non-step instream wood.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.format.mediumZIP
dc.format.mediumXLSX
dc.identifierYochum_colostate_0053A_10132.pdf
dc.identifierYochum_colostate_0053A_10132_suppl.zip
dc.identifierETDF2010100015CVEE
dc.identifier.urihttp://hdl.handle.net/10217/88342
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectvelocity
dc.subjectstep pool
dc.subjectManning's N
dc.subjectflow resistance
dc.subjectDarcy-Weisbach ƒ
dc.subjectcascade
dc.subjectStreamflow -- Colorado -- Fraser Experimental Forest
dc.subjectStream measurements -- Colorado -- Fraser Experimental Forest
dc.subjectChannels (Hydraulic engineering) -- Colorado -- Fraser Experimental Forest
dc.subjectFrictional resistance (Hydrodynamics) -- Colorado -- Fraser Experimental Forest
dc.subjectCascades (Fluid dynamics) -- Colorado -- Fraser Experimental Forest
dc.subjectFraser Experimental Forest (Colo.)
dc.titleFlow resistance prediction in high-gradient streams
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineCivil and Environmental Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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