Journal
URBAN WATER JOURNAL
Volume 15, Issue 3, Pages 210-217Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/1573062X.2018.1424212
Keywords
Decision support; flood management; stormwater runoff; surface runoff; urban flooding; urban water management
Categories
Funding
- EPSRC [EP/H015736/1, EP/K006924/1] Funding Source: UKRI
- NERC [NE/P011217/1, NE/K008765/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/K006924/1, EP/H015736/1, 1470330] Funding Source: researchfish
- Natural Environment Research Council [NE/P011217/1, NE/K008765/1] Funding Source: researchfish
- The British Council [GII206] Funding Source: researchfish
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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.
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