dc.contributor.author | Sayers, W. | |
dc.contributor.author | Savic, Dragan | |
dc.contributor.author | Kapelan, Zoran | |
dc.contributor.author | Kellagher, Richard | |
dc.date.accessioned | 2014-09-04T12:06:10Z | |
dc.date.issued | 2014-04-23 | |
dc.description.abstract | Urban flooding is estimated to cause £270 million pounds worth of damage each year in England and Wales alone. There has, therefore, been a clear need to develop improved methods of identifying intervention strategies to reduce flood risk in urban environments. This paper describes ground-work performed towards evaluating the relative suitability of several algorithms applied to multi-objective optimisation of flood risk intervention strategies in an urban drainage network. An effective methodology is described for reducing an array of return period/duration rainfall files to a minimum, and it is described how this methodology makes possible comparisons of optimisation algorithms. This work has been undertaken as part of a STREAM-IDC EngD project which is a collaborative effort between the University of Exeter, and HR Wallingford. | en_GB |
dc.identifier.citation | Vol. 70, pp. 1505 - 1512 | en_GB |
dc.identifier.doi | 10.1016/j.proeng.2014.02.165 | |
dc.identifier.uri | http://hdl.handle.net/10871/15436 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | Published under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) licence: http://creativecommons.org/licenses/by-nc-nd/3.0/ | en_GB |
dc.subject | Innovation | en_GB |
dc.subject | Technology | en_GB |
dc.subject | Multi-objective | en_GB |
dc.subject | Optimisation | en_GB |
dc.subject | Optimization | en_GB |
dc.subject | Drainage | en_GB |
dc.subject | Floods | en_GB |
dc.subject | Flooding | en_GB |
dc.title | Artificial intelligence techniques for flood risk management in urban environments | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2014-09-04T12:06:10Z | |
dc.identifier.issn | 1877-7058 | |
dc.description | Copyright © 2013 The Authors. Published by Elsevier Ltd. | en_GB |
dc.description | 12th International Conference on Computing and Control for the Water Industry, CCWI2013 | en_GB |
dc.identifier.journal | Procedia Engineering | en_GB |