dc.contributor.author | Webber, JL | |
dc.contributor.author | Gibson, MJ | |
dc.contributor.author | Chen, AS | |
dc.contributor.author | Savic, D | |
dc.contributor.author | Fu, G | |
dc.contributor.author | Butler, D | |
dc.date.accessioned | 2018-02-21T09:44:15Z | |
dc.date.issued | 2018-01-26 | |
dc.description.abstract | Surface-water flooding in urban areas has become a pressing issue due to changing precipitation patterns, expanding urban areas and ageing drainage infrastructure. Selection of flood-management options for widespread implementation using quantitative performance measures is both technically and computationally demanding, which limits the evidence available for decision support. This study presents a new framework for surface-water flood-intervention assessment at high resolution. The framework improves computational efficiency through utilisation of accessible data, simplified representations of interventions and a resource efficient cellular automata flood model. The advantages of this framework are demonstrated through an example case study where the performance of 12 high-level intervention strategies has been evaluated. Results from the case study demonstrate that the framework is able to provide quantitative performance values for a range of interventions. The speed of analysis supports the application of the framework as a decision-making tool for urban water planning. | en_GB |
dc.description.sponsorship | This research was supported by three UK research council funded programmes:
the EPSRC Centre for Doctoral Training in Water Informatics
Science and Engineering [grant number EP/L016214/1], the EPSRC research
fellowship Safe & SuRe water management [grant number EP/K006924/1],
and the NERC project SINATRA - Susceptibility of catchments to INTense
RAinfall and flooding [grant number NE/K008765/1]. LiDAR was provided
by the Environment Agency and mapping was provided through OS
Mastermap data on the Digimap service. | en_GB |
dc.identifier.citation | DOI: 10.1080/1573062X.2018.1424212 | en_GB |
dc.identifier.doi | 10.1080/1573062X.2018.1424212 | |
dc.identifier.uri | http://hdl.handle.net/10871/31593 | |
dc.language.iso | en | en_GB |
dc.publisher | Taylor & Francis | en_GB |
dc.rights | © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited. | en_GB |
dc.subject | Decision support | en_GB |
dc.subject | flood management | en_GB |
dc.subject | stormwater runoff | en_GB |
dc.subject | surface runoff | en_GB |
dc.subject | urban flooding | en_GB |
dc.subject | urban water management | en_GB |
dc.title | Rapid assessment of surface-water flood-management options in urban catchments | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-02-21T09:44:15Z | |
dc.identifier.issn | 1573-062X | |
dc.description | This is the final version of the article. Available from the publisher via the DOI in this record. | en_GB |
dc.identifier.journal | Urban Water Journal | en_GB |