Part of UKCEH UKCEH logo
UKCEH website
Ashworth, P.; Nicholas, A. ; Parsons, D.; Sambrook Smith, G.

Numerical simulations of river bed dynamics for the South Saskatchewan River, Canada

Download/Access
PLEASE NOTE: By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.

This dataset is available under the terms of the Open Government Licence

Download the data
https://doi.org/10.5285/790e507c-ce99-47ca-99b4-c97a684ee8c6
Data were generated to investigate the influence of bed roughness on the dynamics of large sand-bed rivers like the South Saskatchewan, Canada. The influence of roughness was investigated by using a numerical model to simulate the evolution of the river bed for a hypothetical sand-bed river modelled on the South Saskatchewan. The model generated information on the evolving river bed topography, water depth, flow velocities and sediment transport rates, over a period of 28 years as part of NERC project NE/L00738X/1
Publication date: 2020-03-03
28 downloads *
634 views *

More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84

Provenance & quality

These files contain results from numerical simulations of river bed dynamics for a hypothetical sand-bed river modelled on the South Saskatchewan River, Canada. The aim of these simulations was to investigate the influence of changes in the representation of bed roughness and sediment transport on simulated river morphodynamics for large sand-bed rivers like the South Saskatchewan. Simulations were carried out using a 2D depth-averaged numerical model that solves the shallow water equations, coupled with equations for sediment transport and bed level change (i.e. resulting from sediment mass conservation). Results are provided for two simulations (A and B). Simulation A used a van Rijn sediment transport formulation and depth-dependent Chezy roughness law. Simulation B used an Engelund-Hanson sediment transport formulation and constant (depth-independent) Chezy roughness. In both simulations, the model was initialized with a flat bed and using banklines that were digitized for an 8 km reach of the South Saskatchewan River, Canada located immediately downstream of the town of Outlook, Saskatchewan. The model domain measures 800 cells (downstream) by 300 cells (cross-stream). Cell dimensions are 10 m (downstream) by 5 m (cross-stream). Simulations were run for 28 years using an inlet hydrograph based on gauged flow conditions for the South Saskatchewan River.

Files are named Simulation_A_ #.csv, Simulation_B_ #.csv

The # represents the results file number, where each number corresponds to a time slice in the model simulation (1 being the earliest and 56 being the latest). Simulations represent a duration of 28 years, with two time slices per year. Odd-numbered time slices represent low flow conditions and even-numbered time slices represent high flow conditions.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:
Ashworth, P.; Nicholas, A. ; Parsons, D.; Sambrook Smith, G. (2020). Numerical simulations of river bed dynamics for the South Saskatchewan River, Canada. NERC Environmental Information Data Centre. https://doi.org/10.5285/790e507c-ce99-47ca-99b4-c97a684ee8c6

© Natural Environment Research Council

© Exeter University

Related

Correspondence/contact details

Professor Andrew Nicholas
University of Exeter
 a.p.nicholas@exeter.ac.uk

Authors

Ashworth, P.
University of Brighton
Nicholas, A.
Exeter University
Parsons, D.
University of Hull
Sambrook Smith, G.
University of Birmingham

Other contacts

Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
inlandWaters
Keywords
Environmental survey , river bed
Funding
Natural Environment Research Council Award: NE/L00738X/1
Last updated
05 March 2024 08:37