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DC Field | Value | Language |
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dc.contributor.author | Vega Rodríguez, Miguel Ángel | - |
dc.contributor.author | Pérez Sánchez, Carlos Javier | - |
dc.contributor.author | Reder, Klara | - |
dc.contributor.author | Flörke, Martina | - |
dc.date.accessioned | 2024-05-22T17:13:25Z | - |
dc.date.available | 2024-05-22T17:13:25Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 0048-9697 | - |
dc.identifier.uri | http://hdl.handle.net/10662/21298 | - |
dc.description | Versión 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.abstract | Ensuring 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.sponsorship | This 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.extent | 35 p. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | es_ES |
dc.rights | Attribution-ShareAlike 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | * |
dc.subject | Monitoring network | es_ES |
dc.subject | Multi-objective optimization | es_ES |
dc.subject | River basin | es_ES |
dc.subject | Stage-based approach | es_ES |
dc.subject | Water quality | es_ES |
dc.subject | WorldQual model | es_ES |
dc.title | A stage-based approach to allocating water quality monitoring stations based on the WorldQual model: The Jubba River as a case study | es_ES |
dc.type | article | es_ES |
dc.description.version | peerReviewed | es_ES |
europeana.type | TEXT | en_US |
dc.rights.accessRights | openAccess | es_ES |
dc.subject.unesco | 12 Matemáticas | es_ES |
europeana.dataProvider | Universidad de Extremadura. España | es_ES |
dc.identifier.bibliographicCitation | Miguel 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.2020.144162 | es_ES |
dc.type.version | acceptedVersion | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Matemáticas | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Tecnología de los Computadores y de las Comunicaciones | es_ES |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/abs/pii/S0048969720376932 | es_ES |
dc.identifier.doi | 10.1016/j.scitotenv.2020.144162 | - |
dc.identifier.publicationfirstpage | 1 | es_ES |
dc.identifier.publicationlastpage | 35 | es_ES |
dc.identifier.orcid | 0000-0002-3003-758X | es_ES |
dc.identifier.orcid | 0000-0001-6385-9080 | es_ES |
Appears in Collections: | DMATE - Artículos DTCYC - Artículos |
Files in This Item:
File | Description | Size | Format | |
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j_scitotenv_2020_144162_AMM.pdf | 5,63 MB | Adobe PDF | View/Open |
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