Rapid assessment of surface-water flood-management options in urban catchments
Urban Water Journal
Taylor & Francis
© 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.
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.
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.
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