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The use of remotely sensed land cover to derive floodplain friction coefficients for flood inundation modelling

The use of remotely sensed land cover to derive floodplain friction coefficients for flood inundation modelling
The use of remotely sensed land cover to derive floodplain friction coefficients for flood inundation modelling
Remotely sensed land cover was used to generate spatially-distributed friction coefficients for use in a two-dimensional model of flood inundation. Such models are at the forefront of research into the prediction of river flooding. Standard practice, however, is to use single (static) friction coefficients on both the channel and floodplain, which are varied in a calibration procedure to provide a “best fit” to a known inundation extent. Spatially-distributed friction provides a physically grounded estimate of friction that does not require fitting to a known inundation extent, but which can be fitted if desired. Remote sensing offers the opportunity to map these friction coefficients relatively straightforwardly and for low cost. Inundation was predicted using the LISFLOOD-FP model for a reach on the River Nene, UK. Friction coefficients were produced from land cover predicted from Landsat TM imagery using both ML and fuzzy c-means classifiction. The elevetion data used were from combined contour and differential global positioning system (GPS) elevation data. Predicted inundation using spatiallydistributed and static friction were compared. Spatially-distributed friction had the greatest effect on the timing of flood inundation, but a small effect on predicted inundation extent. The results indicate that spatially-distributed friction should be considered where the timing of initial flooding (e.g. for early warning) is important.
floodplain friction coefficients, remote sensing, flood inundation modelling
1099-1085
3576-3586
Wilson, M.D.
75d9a578-f34d-4544-94cc-b5ab2ecf44eb
Atkinson, P.M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Wilson, M.D.
75d9a578-f34d-4544-94cc-b5ab2ecf44eb
Atkinson, P.M.
96e96579-56fe-424d-a21c-17b6eed13b0b

Wilson, M.D. and Atkinson, P.M. (2007) The use of remotely sensed land cover to derive floodplain friction coefficients for flood inundation modelling. Hydrological Processes, 21, 3576-3586. (doi:10.1002/hyp.6584).

Record type: Article

Abstract

Remotely sensed land cover was used to generate spatially-distributed friction coefficients for use in a two-dimensional model of flood inundation. Such models are at the forefront of research into the prediction of river flooding. Standard practice, however, is to use single (static) friction coefficients on both the channel and floodplain, which are varied in a calibration procedure to provide a “best fit” to a known inundation extent. Spatially-distributed friction provides a physically grounded estimate of friction that does not require fitting to a known inundation extent, but which can be fitted if desired. Remote sensing offers the opportunity to map these friction coefficients relatively straightforwardly and for low cost. Inundation was predicted using the LISFLOOD-FP model for a reach on the River Nene, UK. Friction coefficients were produced from land cover predicted from Landsat TM imagery using both ML and fuzzy c-means classifiction. The elevetion data used were from combined contour and differential global positioning system (GPS) elevation data. Predicted inundation using spatiallydistributed and static friction were compared. Spatially-distributed friction had the greatest effect on the timing of flood inundation, but a small effect on predicted inundation extent. The results indicate that spatially-distributed friction should be considered where the timing of initial flooding (e.g. for early warning) is important.

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More information

Published date: 2007
Keywords: floodplain friction coefficients, remote sensing, flood inundation modelling

Identifiers

Local EPrints ID: 54993
URI: http://eprints.soton.ac.uk/id/eprint/54993
ISSN: 1099-1085
PURE UUID: 8075afaf-8daf-401a-92bd-74f6c13403ef
ORCID for P.M. Atkinson: ORCID iD orcid.org/0000-0002-5489-6880

Catalogue record

Date deposited: 01 Aug 2008
Last modified: 16 Mar 2024 02:46

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Contributors

Author: M.D. Wilson
Author: P.M. Atkinson ORCID iD

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