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dc.contributor.authorSavic, Dragan
dc.contributor.authorBicik, Josef
dc.contributor.authorMorley, Mark S.
dc.contributor.authorDuncan, Andrew
dc.contributor.authorKapelan, Zoran
dc.contributor.authorDjordjevic, Slobodan
dc.contributor.authorKeedwell, Edward
dc.date.accessioned2013-09-23T14:21:06Z
dc.date.issued2013-06-28
dc.description.abstractUrban population growth together with other pressures, such as climate change, create enormous challenges to provision of urban infrastructure services, including gas, electricity, transport, water, etc. Smartgrid technology is viewed as the way forward to ensure that infrastructure networks are fl exible, accessible, reliable and economical. “Intelligent water networks” take advantage of the latest information and communication technologies to gather and act on information to minimise waste and deliver more sustainable water services. The effective management of water distribution, urban drainage and sewerage infrastructure is likely to require increasingly sophisticated computational techniques to keep pace with the level of data that is collected from measurement instruments in the field. This paper describes two examples of intelligent systems developed to utilise this increasingly available real-time sensed information in the urban water environment. The first deals with the failure-management decision-support system for water distribution networks, NEPTUNE, that takes advantage of intelligent computational methods and tools applied to near real-time logger data providing pressures, flows and tank levels at selected points throughout the system. The second, called RAPIDS, deals with urban drainage systems and the utilisation of rainfall data to predict flooding of urban areas in near real-time. The two systems have the potential to provide early warning and scenario testing for decision makers within reasonable time, this being a key requirement of such systems. Computational methods that require hours or days to run will not be able to keep pace with fast-changing situations such as pipe bursts or manhole flooding and thus the systems developed are able to react in close to real time.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.description.sponsorshipUK Water Industry Researchen_GB
dc.description.sponsorshipYorkshire Wateren_GB
dc.identifier.citationVol. 93 (2), pp. 319-336en_GB
dc.identifier.urihttp://hdl.handle.net/10871/13624
dc.language.isoenen_GB
dc.publisherIndian Institute of Scienceen_GB
dc.relation.urlhttp://journal.library.iisc.ernet.in/index.php/iisc/article/view/1459en_GB
dc.subjecturban wateren_GB
dc.subjectinfrastructureen_GB
dc.subjectintelligent/smart systemsen_GB
dc.subjectdecision supporten_GB
dc.subjectreal-time sensoren_GB
dc.titleIntelligent urban water infrastructure managementen_GB
dc.typeArticleen_GB
dc.date.available2013-09-23T14:21:06Z
dc.identifier.issn0970-4140
dc.descriptionCopyright © 2013 Indian Institute of Scienceen_GB
dc.identifier.journalJournal of the Indian Institute of Scienceen_GB


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