dc.contributor.author | Okeya, I | |
dc.contributor.author | Hutton, C | |
dc.contributor.author | Kapelan, Z | |
dc.date.accessioned | 2016-04-29T14:46:55Z | |
dc.date.issued | 2015-09-01 | |
dc.description.abstract | This paper presents an online burst location method which extends the recently developed methodology [1] for online burst detection in Water Distribution Systems (WDS) at the District Metered Area (DMA) level. This is achieved by a combination of data algorithms that make use of flow and pressure residuals between the online hydraulic model predictions and corresponding WDS observations. The leak location methodology was tested on a series of simulated pipe burst events in a real-life UK DMA. The results obtained show that the new methodology is effective in determining burst locations in near real-time and satisfactorily estimates the burst flows. | en_GB |
dc.description.sponsorship | The authors are grateful to Engineering and Physical Sciences Research Council (EPSRC) and United Utilities
(UU) including Mr T. Allen and UU hydraulic modelling team for providing the case study data and supporting
financially the STREAM EngD project. | en_GB |
dc.identifier.citation | Vol. 119, pp. 101-110 | en_GB |
dc.identifier.doi | 10.1016/j.proeng.2015.08.859 | |
dc.identifier.uri | http://hdl.handle.net/10871/21319 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.relation.url | http://www.sciencedirect.com/science/article/pii/S1877705815025291 | en_GB |
dc.rights | © 2015 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND licence. http://creativecommons.org/licenses/by-nc-nd/4.0/
This is the final version of the article. Available from Elsevier via the DOI in this record. | en_GB |
dc.subject | Burst Detection | en_GB |
dc.subject | Burst Localisation | en_GB |
dc.subject | Online Hydraulic Modelling | en_GB |
dc.subject | Water Distribution System | en_GB |
dc.title | Locating pipe bursts in a District Metered Area via online hydraulic modelling | en_GB |
dc.type | Conference paper | en_GB |
dc.date.available | 2016-04-29T14:46:55Z | |
dc.identifier.issn | 1877-7058 | |
dc.description | Published | en_GB |
dc.description | Computing and Control for the Water Industry (CCWI2015): Sharing the best practice in water management | en_GB |
dc.identifier.journal | Procedia Engineering | en_GB |