Εμφάνιση απλής εγγραφής

dc.creatorChatzivasili S., Papadimitriou K., Kanakoudis V.en
dc.date.accessioned2023-01-31T07:44:39Z
dc.date.available2023-01-31T07:44:39Z
dc.date.issued2019
dc.identifier10.3390/w11020278
dc.identifier.issn20734441
dc.identifier.urihttp://hdl.handle.net/11615/72726
dc.description.abstractWater pressure management in a water distribution network (WDN) is a key component applied to achieve desirable water quality as well as a trouble-free operation of the network. This paper presents a hybrid, two-stage approach, to provide optimal separation of a WDN into District Metered Areas (DMAs), improving both water age and pressure. The first stage aims to divide the WDN into smaller areas via the Geometric Partitioning method, which is based on Recursive Coordinate Bisection (RCB). Subsequently, the Student's t-mixture model (SMM) is applied to each area, providing an optimal placement of isolation valves and separating the network in DMAs. The model is evaluated on a realistic network generated through Watergems and is compared against one variation of it implemented, including the Gaussian Mixture Model (GMM) as well as the Genetic Algorithm (GA) approach, obtaining impressive performance. The implementation of both stages was deployed in a MATLAB environment through the Epanet toolkit. The proposed system is very promising, especially for large size WDNs due to the decreased running time and noteworthy reduction of pressure and water age. © 2019 by the authors.en
dc.language.isoenen
dc.sourceWater (Switzerland)en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85061143502&doi=10.3390%2fw11020278&partnerID=40&md5=c29fcec1ee81a76a2042e520e4ac193b
dc.subjectGaussian distributionen
dc.subjectGenetic algorithmsen
dc.subjectWater qualityen
dc.subjectDistrict Metered Areasen
dc.subjectGaussian mixturesen
dc.subjectRecursive Coordinate Bisectionen
dc.subjectStudent's t distributionen
dc.subjectWater agesen
dc.subjectWater pressuresen
dc.subjectWater distribution systemsen
dc.subjectGaussian methoden
dc.subjectgenetic algorithmen
dc.subjectgeometryen
dc.subjecthydrological modelingen
dc.subjectnetwork analysisen
dc.subjectoptimizationen
dc.subjectpressure fielden
dc.subjectstatistical applicationen
dc.subjectwater demanden
dc.subjectwater managementen
dc.subjectwater qualityen
dc.subjectwater supplyen
dc.subjectMDPI AGen
dc.titleOptimizing the formation of DMAs in a water distribution network through advanced modellingen
dc.typejournalArticleen


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