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dc.contributor.authorVega Rodríguez, Miguel Ángel-
dc.contributor.authorPérez Sánchez, Carlos Javier-
dc.contributor.authorReder, Klara-
dc.contributor.authorFlörke, Martina-
dc.date.accessioned2024-05-22T17:13:25Z-
dc.date.available2024-05-22T17:13:25Z-
dc.date.issued2021-
dc.identifier.issn0048-9697-
dc.identifier.urihttp://hdl.handle.net/10662/21298-
dc.descriptionVersión aceptada del artículo publicado en "Science of the Total Environment" (Elsevier B.V.), volumen 76225, en Marzo de 2021. Número de artículo 144162.es_ES
dc.description.abstractEnsuring adequate freshwater quality is an important aspect of integrated environmental management and sustainable development. One contribution towards this end is to monitor the water quality of river basins. An important issue in constructing a water quality monitoring network is how to allocate the stations. This is usually done by using in situ measurements of pollutants together with other information. A stage-based optimization approach has been developed to find the optimal sites to allocate themonitoring stations. The proposed approach constructs a network in a sequence of stageswithout the need for in situ pollution measurements. Instead, it uses pollutant estimates fromtheWorldQualmodel togetherwith other social and hydrological criteria. The approach is computationally efficient and provides an ordered list of stations that can be used to initialize or augment a water quality network. This is especially relevant for consideration by developing countries since, with this approach, they can get an overview of their river basins, and then prioritize the initial distributions of the networks. The approach was applied successfully to the 741,751 km2 of the Jubba River basin, but it is applicable to river basins of any size.es_ES
dc.description.sponsorshipThis research was supported by Ministry of Science, Innovation and Uni578 versities - Spain and State Research Agency - Spain (projects PID2019-107299GB-I00/AEI/10.13039/501100011033 and MTM2017-86875-C3-2-R), Junta de Extremadura - Spain (projects GR18090 and GR18108), Centre for Environmental Systems Research, University of Kassel - Germany (Wa582 terGAP3 project), and European Union (European Regional Development Fund).es_ES
dc.format.extent35 p.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoenges_ES
dc.rightsAttribution-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectMonitoring networkes_ES
dc.subjectMulti-objective optimizationes_ES
dc.subjectRiver basines_ES
dc.subjectStage-based approaches_ES
dc.subjectWater qualityes_ES
dc.subjectWorldQual modeles_ES
dc.titleA stage-based approach to allocating water quality monitoring stations based on the WorldQual model: The Jubba River as a case studyes_ES
dc.typearticlees_ES
dc.description.versionpeerReviewedes_ES
europeana.typeTEXTen_US
dc.rights.accessRightsopenAccesses_ES
dc.subject.unesco12 Matemáticases_ES
europeana.dataProviderUniversidad de Extremadura. Españaes_ES
dc.identifier.bibliographicCitationMiguel A. Vega-Rodríguez, Carlos J. Pérez, Klara Reder, Martina Flörke, A stage-based approach to allocating water quality monitoring stations based on the WorldQual model: The Jubba River as a case study, Science of The Total Environment, 762, 144162, 2021 https://doi.org/10.1016/j.scitotenv.2020.144162es_ES
dc.type.versionacceptedVersiones_ES
dc.contributor.affiliationUniversidad de Extremadura. Departamento de Matemáticases_ES
dc.contributor.affiliationUniversidad de Extremadura. Departamento de Tecnología de los Computadores y de las Comunicacioneses_ES
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S0048969720376932es_ES
dc.identifier.doi10.1016/j.scitotenv.2020.144162-
dc.identifier.publicationfirstpage1es_ES
dc.identifier.publicationlastpage35es_ES
dc.identifier.orcid0000-0002-3003-758Xes_ES
dc.identifier.orcid0000-0001-6385-9080es_ES
Colección:DMATE - Artículos
DTCYC - Artículos

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