University of Nottingham logo, linking to repository homepage
      View Item 
      • Nottingham Research Data Management Repository
      • University of Nottingham Research Data Management Service
      • Public Research Data
      • View Item
      • Nottingham Research Data Management Repository
      • University of Nottingham Research Data Management Service
      • Public Research Data
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Numerical modelling of hydro-morphological processes dominated by fine suspended sediment in a stormwater pond

      Thumbnail
      View/Open
      DEM with stormwater pond (1x1m) (185.6Kb)
      DEM with no stormwater pond (1x1m) (251.9Kb)
      2012 rainfall inflow to pond (177.0Kb)
      Flow data for 3 return periods (21.82Kb)
      Publication date
      2017-11-08
      Creators
      Wright, Nigel
      Ahilan, Sangaralingam
      Metadata
      Show full item record
      Description
      Fine 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.
      External URI
      • https://rdmc.nottingham.ac.uk/handle/internal/339
      DOI
      • http://doi.org/10.17639/nott.335
      Subjects
      • Sediment transport -- Mathematical models
      • Hydrodynamics -- Mathematical models
      • Hydrologic models
      • Floodplain ecology
      • Streamflow -- Forecasting
      • Ouseburn Catchment (Newcastle upon Tyne, England)
      • shallow water equations, suspended load, morphological changes, stormwater pond
      • Engineering::Civil engineering
      • G Geography. Anthropology. Recreation::GE Environmental Sciences
      • G Geography. Anthropology. Recreation::GB Physical geography
      Divisions
      • University of Nottingham, UK Campus::Faculty of Social Sciences::School of Geography
      Deposit date
      2017-11-08
      Data type
      A) 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)
      Contributors
      • Guan, M.
      • Yu, D.
      • Peng, Y.
      Funders
      • Engineering & Physical Sciences Research Council
      Grant number
      • EP/K01661/1
      Parent project
      • Achieving Urban Flood Resilience in an Uncertain Future
      Collection dates
      • A) 2000 (no pond), 2015 (with pond); B) 23/04/2015 - 26/05/2015; C) 2012; D) as for B
      Coverage
      • Ouseburn Catchment in Newcastle Upon Tyne, UK.
      • Pond coordinates: 55.024948, -1.650234
      Data collection method
      A) LIDAR; B) Flood Estimation Handbook; C) Gauging station; D) Hydrological model output (Revitalised Flood Hydrograph model)
      Resource languages
      • en
      Publisher
      University of Leeds

      Browse

      All of Nottingham Research Data Management RepositoryBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

      My Account

      UoN Login

      Arkivum Files

      My Downloads

      Statistics

      Most Popular ItemsStatistics by CountryMost Popular Authors
       

      Research @ The University of Nottingham

      King's Meadow Campus

      Lenton Lane

      Nottingham, NG7 2NR

      For further information and policies refer to https://www.nottingham.ac.uk/library/research/research-data-management/index.aspx

      For further information and policies refer to Policies

      For information on accessibility refer to https://www.nottingham.ac.uk/utilities/accessibility/dspace.aspx

      and the Accessibility Statement