Optimizing the formation of DMAs in a water distribution network through advanced modelling
dc.creator | Chatzivasili S., Papadimitriou K., Kanakoudis V. | en |
dc.date.accessioned | 2023-01-31T07:44:39Z | |
dc.date.available | 2023-01-31T07:44:39Z | |
dc.date.issued | 2019 | |
dc.identifier | 10.3390/w11020278 | |
dc.identifier.issn | 20734441 | |
dc.identifier.uri | http://hdl.handle.net/11615/72726 | |
dc.description.abstract | Water 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.iso | en | en |
dc.source | Water (Switzerland) | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061143502&doi=10.3390%2fw11020278&partnerID=40&md5=c29fcec1ee81a76a2042e520e4ac193b | |
dc.subject | Gaussian distribution | en |
dc.subject | Genetic algorithms | en |
dc.subject | Water quality | en |
dc.subject | District Metered Areas | en |
dc.subject | Gaussian mixtures | en |
dc.subject | Recursive Coordinate Bisection | en |
dc.subject | Student's t distribution | en |
dc.subject | Water ages | en |
dc.subject | Water pressures | en |
dc.subject | Water distribution systems | en |
dc.subject | Gaussian method | en |
dc.subject | genetic algorithm | en |
dc.subject | geometry | en |
dc.subject | hydrological modeling | en |
dc.subject | network analysis | en |
dc.subject | optimization | en |
dc.subject | pressure field | en |
dc.subject | statistical application | en |
dc.subject | water demand | en |
dc.subject | water management | en |
dc.subject | water quality | en |
dc.subject | water supply | en |
dc.subject | MDPI AG | en |
dc.title | Optimizing the formation of DMAs in a water distribution network through advanced modelling | en |
dc.type | journalArticle | en |
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