- -

Evolutionary network flow models for obtaining operation rules in multi-reservoir water systems

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Evolutionary network flow models for obtaining operation rules in multi-reservoir water systems

Show simple item record

Files in this item

dc.contributor.author Lerma Elvira, Néstor es_ES
dc.contributor.author Paredes Arquiola, Javier es_ES
dc.contributor.author Molina González, José Luis es_ES
dc.contributor.author Andreu Álvarez, Joaquín es_ES
dc.date.accessioned 2015-05-22T11:30:15Z
dc.date.issued 2014
dc.identifier.issn 1464-7141
dc.identifier.uri http://hdl.handle.net/10251/50699
dc.description "© IWA Publishing [2014]. The definitive peer-reviewed and edited version of this article is published in Journal of Hydroinformatics , vol.. 16, n. 1 (33-49) 2014. DOI: 10.2166/hydro.2013.151 and is available at www.iwapublishing.com” es_ES
dc.description.abstract Obtaining operation rules (OR) for multi-reservoir water systems through optimization and simulation processes has been an intensely studied topic. However, an innovative approach for the integration of two approaches network flow simulation models and evolutionary multi-objective optimization (EMO) is proposed for obtaining the operation rules for integrated water resource management (IWRM). This paper demonstrates a methodology based on the coupling of an EMO algorithm (NSGA-II or Non-dominated Sorting Genetic Algorithm) with an existing water resources allocation simulation network flow model (SIMGES). The implementation is made for a real case study, the Mijares River basin (Spain) which is characterized by severe drought events, a very traditional water rights system and its historical implementation of the conjunctive use of surface and ground water. The established operation rules aim to minimize the maximum deficit in the short term without compromising the maximum deficits in the long term. This research proves the utility of the proposed methodology by coupling NSGA-II and SIMGES to find the optimal reservoir operation rules in multi-reservoir water systems. es_ES
dc.description.sponsorship The authors wish to thank the Confederacion Hidrografica del Jucar (Spanish Ministry of the Environment) for the data provided in developing this study, the Comision Interministerial de Ciencia y Tecnologia (CICYT or Spanish Ministry of Science and Innovation) for funding the projects INTEGRAME (contract CGL2009-11798) and SCARCE (program Consolider-Ingenio 2010, project CSD2009-00065) and the Generalitat Valenciana for the Geronimo Forteza grant (FPA/2012/006). The authors also thank the European Commission (Directorate-General for Research & Innovation) for funding the project DROUGHT-R&SPI (program FP7-ENV-2011, project 282769) and the Seventh Framework Programme of the European Commission for funding the project SIRIUS (FP7-SPACE-2010-1, project 262902). en_EN
dc.description.uri https://riunet.upv.es/handle/10251/50699
dc.language Inglés es_ES
dc.publisher IWA Publishing es_ES
dc.relation Comision Interministerial de Ciencia y Tecnologia (CICYT or Spanish Ministry of Science and Innovation) es_ES
dc.relation INTEGRAME CGL2009-11798 es_ES
dc.relation info:eu-repo/grantAgreement/MICINN//CSD2009-00065/ES/Evaluación y predicción de los efectos del cambio global en la cantidad y la calidad del agua en ríos ibéricos/ es_ES
dc.relation Generalitat Valenciana for the Geronimo Forteza grant FPA/2012/006 es_ES
dc.relation.ispartof Journal of Hydroinformatics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Agricultural demands es_ES
dc.subject AQUATOOL
dc.subject Decision support system shell
dc.subject Deficits
dc.subject Drought
dc.subject Genetic algorithms
dc.subject NSGA-II
dc.subject Operating rules
dc.subject Optimization
dc.subject SIMGES
dc.subject Simulation
dc.subject Water resources system
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Evolutionary network flow models for obtaining operation rules in multi-reservoir water systems es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.2166/hydro.2013.151
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/282769/EU/Fostering European Drought Research and Science-Policy Interfacing/
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/262902/EU/Sustainable Irrigation water management and River-basin governance: Implementing User-driven Services/
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.description.bibliographicCitation Lerma Elvira, N.; Paredes Arquiola, J.; Molina González, JL.; Andreu Álvarez, J. (2014). Evolutionary network flow models for obtaining operation rules in multi-reservoir water systems. Journal of Hydroinformatics. 16(1):33-49. https://doi.org/10.2166/hydro.2013.151 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.2166/hydro.2013.151 es_ES
dc.description.upvformatpinicio 33 es_ES
dc.description.upvformatpfin 49 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 16 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 254521
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES


This item appears in the following Collection(s)

Show simple item record