dc.contributor.author | Webber, J | |
dc.contributor.author | Booth, G | |
dc.contributor.author | Gunasekara, R | |
dc.contributor.author | Fu, G | |
dc.contributor.author | Butler, D | |
dc.date.accessioned | 2018-11-06T11:15:49Z | |
dc.date.issued | 2018-10-22 | |
dc.description.abstract | This research evaluates performance of a rapid assessment framework for screening surface water flood risk in urban catchments. Recent advances in modelling have developed fast and computationally efficient cellular automata frameworks which demonstrate promising utility for increasing available evidence to support surface water management, however, questions remain regarding trade‐offs between accuracy and speed for practical application. This study evaluates performance of a rapid assessment framework by comparing results with outputs from an industry standard hydrodynamic model using a case study of St Neots in Cambridgeshire, UK. Results from the case study show that the rapid assessment framework is able to identify and prioritise areas of flood risk and outputs flood depths which correlate above 97% with the industry standard approach. In theory, this finding supports a simplified representation of catchments using cellular automata, and in practice presents an opportunity to apply the framework to develop evidence to support detailed modelling. | en_GB |
dc.description.sponsorship | This research was funded by the UK Engineering & Physical Sciences Research Council through the Water Informatics Science and Engineering Centre for Doctoral Training (EP/L016214/1) and the Safe & SuRe research fellowship (EP/K006924/1). | en_GB |
dc.identifier.citation | Published online 22 October 2018 | en_GB |
dc.identifier.doi | 10.1111/wej.12415 | |
dc.identifier.uri | http://hdl.handle.net/10871/34660 | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley for Chartered Institution of Water and Environmental Management (CIWEM) | en_GB |
dc.rights | © 2018 The Authors Water and Environment Journal published by John Wiley & Sons Ltd on behalf of CIWEM. This is an open access article under the terms of the Creative Commons Attribution License (v), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | en_GB |
dc.subject | cellular automata flood model | en_GB |
dc.subject | decision support | en_GB |
dc.subject | 2D flood modelling | en_GB |
dc.subject | flood risk management | en_GB |
dc.subject | surface water management plan | en_GB |
dc.subject | urban flooding | en_GB |
dc.title | Validating a rapid assessment framework for screening surface water flood risk | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-11-06T11:15:49Z | |
dc.identifier.issn | 1747-6585 | |
dc.description | This is the final version. Available on open access from Wiley via the DOI in this record | en_GB |
dc.identifier.journal | Water and Environment Journal | en_GB |