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dc.contributor.authorWright, Nigel
dc.contributor.authorAhilan, Sangaralingam
dc.contributor.otherGuan, M.
dc.contributor.otherYu, D.
dc.contributor.otherPeng, Y.
dc.coverage.spatialOuseburn Catchment in Newcastle Upon Tyne, UK.en_UK
dc.date.accessioned2017-11-08T18:40:03Z
dc.date.available2017-11-08T18:40:03Z
dc.date.issued2017-11-08
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/339
dc.description.abstractFine sediment plays crucial and multiple roles in the hydrological, ecological and geomorphological functioning of river systems. This study employs a two-dimensional (2D) numerical model to track the hydro-morphological processes dominated by fine suspended sediment, including the prediction of sediment concentration in flow bodies, and erosion and deposition caused by sediment transport. The model is governed by 2D full shallow water equations with which an advection-diffusion equation for fine sediment is coupled. Bed erosion and sedimentation are updated by a bed deformation model based on local sediment entrainment and settling flux in flow bodies. The model is initially validated with the three laboratory-scale experimental events where suspended load plays a dominant role. Satisfactory simulation results confirm the model’s capability in capturing hydro-morphodynamic processes dominated by fine suspended sediment at laboratory-scale. Applications to sedimentation in a stormwater pond are conducted to develop the process-based understanding of fine sediment dynamics over a variety of flow conditions. Urban flows with 5-year, 30-year and 100-year return period and the extreme flood event in 2012 are simulated. The modelled results deliver a step change in understanding fine sediment dynamics in stormwater ponds. The model is capable of quantitatively simulating and qualitatively assessing the performance of a stormwater pond in managing urban water quantity and quality.en_UK
dc.language.isoenen_UK
dc.publisherUniversity of Leedsen_UK
dc.subject.lcshSediment transport -- Mathematical modelsen_UK
dc.subject.lcshHydrodynamics -- Mathematical modelsen_UK
dc.subject.lcshHydrologic modelsen_UK
dc.subject.lcshFloodplain ecologyen_UK
dc.subject.lcshStreamflow -- Forecastingen_UK
dc.subject.lcshOuseburn Catchment (Newcastle upon Tyne, England)en_UK
dc.titleNumerical modelling of hydro-morphological processes dominated by fine suspended sediment in a stormwater ponden_UK
dc.identifier.doihttp://doi.org/10.17639/nott.335
dc.subject.freeshallow water equations, suspended load, morphological changes, stormwater ponden_UK
dc.subject.jacsEngineering::Civil engineeringen_UK
dc.subject.lcG Geography. Anthropology. Recreation::GE Environmental Sciencesen_UK
dc.subject.lcG Geography. Anthropology. Recreation::GB Physical geographyen_UK
dc.date.collectionA) 2000 (no pond), 2015 (with pond); B) 23/04/2015 - 26/05/2015; C) 2012; D) as for Ben_UK
dc.coverage.coordinatesPond coordinates: 55.024948, -1.650234en_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Social Sciences::School of Geographyen_UK
uon.funder.controlledEngineering & Physical Sciences Research Councilen_UK
uon.datatypeA) Digital Elevation Models before and after building the stormwater pond (1m × 1m); B) Recorded drainage flow data (23/04/2015 – 26/05/2015); C) Recorded 2012 extreme flow data based on measured rainfall; D) Flow hydrograph for three return-periods (5-year, 30-year, 100-year)en_UK
uon.grantEP/K01661/1en_UK
uon.parentprojectAchieving Urban Flood Resilience in an Uncertain Futureen_UK
uon.collectionmethodA) LIDAR; B) Flood Estimation Handbook; C) Gauging station; D) Hydrological model output (Revitalised Flood Hydrograph model)en_UK
uon.preservation.rarelyaccessedtrue


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