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dc.contributor.author | Brentan, Bruno M. | es_ES |
dc.contributor.author | Campbell-Gonzalez, Enrique | es_ES |
dc.contributor.author | Goulart, T. | es_ES |
dc.contributor.author | Manzi, D. | es_ES |
dc.contributor.author | Meirelles, G. | es_ES |
dc.contributor.author | Herrera Fernández, Antonio Manuel | es_ES |
dc.contributor.author | Izquierdo Sebastián, Joaquín | es_ES |
dc.contributor.author | Luvizotto, E. | es_ES |
dc.date.accessioned | 2019-05-15T20:29:04Z | |
dc.date.available | 2019-05-15T20:29:04Z | |
dc.date.issued | 2018 | es_ES |
dc.identifier.issn | 0733-9496 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/120537 | |
dc.description.abstract | [EN] Water supply utilities need to properly manage their systems to guarantee a quality supply. One way to manage large systems is through division into district metered areas (DMAs). Graph clustering with an unknown number of subdivisions, as in social network theory, has proven highly efficient in this sectorization problem. Several physical and hydraulic features may easily be used as criteria to suitably divide the network. This paper uses social network community detection algorithms to define several DMA scenarios. Configurations mainly depend on nodal demand and elevation, but adaptations may be needed to guarantee full supply in future scenarios related to system growthand rehabilitation actions may also be required. The problem associated with pipes and valves is first solved with three optimization methods. The best solutions then enter a new optimization process, in which tank dimensions and valve set points are defined. This complex optimization-segregation approach enables an improvement in the hydraulic efficiency of the E-Town network at an affordable cost, and this approach also determines the measures needed to meet the dry season requirements. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | American Society of Civil Engineers | es_ES |
dc.relation.ispartof | Journal of Water Resources Planning and Management | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Water distribution networks | es_ES |
dc.subject | District metered areas (DMA) definition | es_ES |
dc.subject | Rehabilitation | es_ES |
dc.subject | Particle swarm optimization (PSO) | es_ES |
dc.subject | Genetic algorithms (GA) | es_ES |
dc.subject | Soccer league competition | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | Social Network Community Detection and Hybrid Optimization for Dividing Water Supply into District Metered Areas | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1061/(ASCE)WR.1943-5452.0000924 | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària | es_ES |
dc.description.bibliographicCitation | Brentan, BM.; Campbell-Gonzalez, E.; Goulart, T.; Manzi, D.; Meirelles, G.; Herrera Fernández, AM.; Izquierdo Sebastián, J.... (2018). Social Network Community Detection and Hybrid Optimization for Dividing Water Supply into District Metered Areas. Journal of Water Resources Planning and Management. 144(5):04018020-1-04018020-10. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000924 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://doi.org/10.1061/(ASCE)WR.1943-5452.0000924 | es_ES |
dc.description.upvformatpinicio | 04018020-1 | es_ES |
dc.description.upvformatpfin | 04018020-10 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 144 | es_ES |
dc.description.issue | 5 | es_ES |
dc.relation.pasarela | S\344742 | es_ES |