A system for in-situ, wave-by-wave measurements of the speed and volume of coastal overtopping

Yelland, Margaret J. ORCID: https://orcid.org/0000-0002-0936-4957; Brown, Jennifer M. ORCID: https://orcid.org/0000-0002-3894-4651; Cardwell, Christopher L. ORCID: https://orcid.org/0000-0003-1305-4174; Jones, David S.; Pascal, Robin W.; Pinnell, Richard ORCID: https://orcid.org/0000-0002-2102-2028; Pullen, Tim; Silva, Eunice. 2023 A system for in-situ, wave-by-wave measurements of the speed and volume of coastal overtopping. Communications Engineering, 2 (1). 10.1038/s44172-023-00058-3

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Official URL: http://dx.doi.org/10.1038/s44172-023-00058-3

Abstract/Summary

Wave overtopping of sea defences poses a hazard to people and infrastructure. Rising sea levels and limited resources mean accurate prediction tools are needed to deliver cost-effective shoreline management plans. A dearth of in-situ data means that the numerical tools used for flood forecasting and coastal scheme design are based largely on data from idealised flume studies, and the resulting overtopping predictions may have orders of magnitude uncertainty for complicated structures and some environmental conditions. Furthermore, such studies usually only provide data on the total volume of overtopping water, and no data on the speed of the water. Here we present WireWall, an array of capacitance-based sensors which measure the speed and volume of overtopping water on a wave-by-wave basis. We describe the successful validation of WireWall against traditional flume methods and present results from the first trial deployments at a sea wall in the UK. WireWall results are also compared with numerical predictions based on EurOtop guidance. WireWall technology offers an approach for reliable acquisition of the data needed to develop resilient coastal protections schemes.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1038/s44172-023-00058-3
ISSN:	2731-3395
Date made live:	06 Mar 2023 16:59 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/534178

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1038/s44172-023-00058-3

ISSN:

2731-3395

Date made live:

06 Mar 2023 16:59 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/534178