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dc.contributor.advisorHeidi M. Nepf.en_US
dc.contributor.authorLei, Jiarui,Ph.D.Massachusetts Institute of Technology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Civil and Environmental Engineering.en_US
dc.date.accessioned2019-12-05T18:08:35Z
dc.date.available2019-12-05T18:08:35Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/123187
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 159-168).en_US
dc.description.abstractAquatic vegetation provides ecosystem services of great value. Seagrass and fresh-water macrophytes can improve water quality by filtering nutrients and reducing re-suspension of sediment. They can also protect shorelines by damping waves. This thesis explores the interaction between flexible vegetation (e.g. seagrass) and water flow. Specifically, I develop physically based models to predict the mass flux to individual seagrass blades, the dynamic behaviors of seagrass blade, the wave decay associated with a submerged meadow and the turbulence within a seagrass meadow as a function of plant morphology, flexibility, and shoot density. Flexible plants/blades reconfigure in response to flow velocity, which reduces drag relative to a rigid plant of the same morphology. The impact of reconfiguration on drag can be characterized using an effective length, l[subscript e], which represents the length of a rigid blade that generates the same drag as the flexible blade of length l. The effective blade length depends on the Cauchy number, Ca, which defines the ratio of hydrodynamic drag to restoring force due to blade stiffness. To validate our proposed models, a combination of laboratory experiments and numerical simulation was conducted. Our models also produced good predictions for different laboratory and field studies within 30 %. With these models, engineers and practitioners will be able to assess different scenarios of vegetation restoration for their potential to protect shorelines and to reduce erosion events that drive poor water quality.en_US
dc.description.sponsorship"Financial support from MIT (Research Assistantship and Teaching Assistantship), NSF grants EAR 1659923 and 1140970"--Page 5en_US
dc.description.statementofresponsibilityby Jiarui Lei.en_US
dc.format.extent168 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectCivil and Environmental Engineering.en_US
dc.titleMass flux, blade dynamics, wave damping and turbulence in model seagrass meadowen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.identifier.oclc1128185283en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Civil and Environmental Engineeringen_US
dspace.imported2019-12-05T18:08:34Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentCivEngen_US


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