Digital Elevation Model of an experimental river generated in a flume under variable discharge conditions

Name: Digital Elevation Model of an experimental river generated in a flume under variable discharge conditions
Published: 2024-04-30

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

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https://doi.org/10.5285/7b2071d6-da02-4f48-a87e-ccab19a737bd

This dataset contains the elevation data of a 10m long, 20cm wide experimental river. This river was generated in an experimental flume (Total Environment Simulator) of the University of Hull. This river was formed spontaneously by imposing water and sediment flux at the upstream boundary of a flat sand bed. This model doesn’t attempt to reproduce any natural river, it’s a generic model design to explore the influence of discharge variation on the river evolution. We regularly measure the topography of the experimental area to follow the evolution of the river width, depth, slope, and conveyance capacity. The elevation is measured in metres. The associated table contains the experimental characteristics: time (seconds), water discharge (L/min), and morphological characteristics extracted from the DEM. This is the raw data, so the width is in pixels, the depth is in metres and the conveyance capacity is in metre pixel.

Publication date: 2024-04-30

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View numbers valid from 30 April 2024 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Provenance & quality

The data have been generated using a terrestrial laser scanner (Faro Focus X330). The laser scanner is in a fixed position above the experimental area. Seven targets (coordinates known) are erected in the area. Each scan is therefore reoriented using the location of the target, using the Faro software (Scene). We only accept scans with a re-orientation error lower than 0.5 mm. If the error is higher, we redo the scan.

The duration of a scan is about 10 minutes and the time between each scan depends on the experimental conditions (the exact duration between each scan can be found in the experimental data file).

Once the scan has been reoriented, we pre-process it using CloudCompare to select only the experimental area (remove the wall and instrument), we then convert this into a tiff file to analyse with python.

The scanner can’t see the surface under water, consequently we have to ensure that the experimental area is dry before we start scanning. If the surface is not dry the scan returns NaN values.

Licensing and constraints

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

Cite this dataset as:

Delorme, P.; Murphy, B.J.; McLelland, S.J. (2024). Digital Elevation Model of an experimental river generated in a flume under variable discharge conditions. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/7b2071d6-da02-4f48-a87e-ccab19a737bd

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