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dc.contributor.authorLupiola Chamorro, Jagoba
dc.contributor.authorBárcena Gómez, Javier Francisco
dc.contributor.authorGarcía Alba, Javier
dc.contributor.authorGarcía Gómez, Andrés 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-10-18T14:25:40Z
dc.date.available2023-10-18T14:25:40Z
dc.date.issued2023
dc.identifier.issn2073-4441
dc.identifier.otherPID2021-127358NB-I00-MCIN/AEI/10.13039/501100011033es_ES
dc.identifier.otherRTI2018-095304-B-I00-MCIU/AEI/FEDER,UEes_ES
dc.identifier.urihttps://hdl.handle.net/10902/30234
dc.description.abstractThe aim of this work is to develop a new estuarine classification attending to their vertical structure by examining the advantages and disadvantages of the existing classifications. For this purpose, we reviewed the main classifications, finding that most of them analyze the entire estuary as a unique water body without considering the spatiotemporal variability of the mixing zone in estuaries. Furthermore, the proposed classifications require the calculation of parameters that are not easily measurable, such as tidal current amplitude. Thus, we developed a new classification based on density profile slopes of the water column, which has been correlated to the potential energy anomaly. To test this classification, the proposed method was applied to the Suances estuary (Spain) during the year 2020 and to analyze the potential estuarine modifications under four climate change projections (RCP 4.5 and 8.5 for the years 2050 and 2100). To carry out this study, a calibrated and validated high-resolution horizontal and vertical 3D model was used. The application showed a high variability in the vertical structure of the estuary due to the tide and river. According to the proposed classification, the well mixed category was predominant in the estuary in 2020 and tended to grow in the projections of climate change. As a result, the fully mixed and weakly stratified mixing classes were reduced in the projected scenarios due to a decrease of external forcing, such as river flow and sea level rise. Furthermore, areas classified as stratified tended to move upstream of the estuaryes_ES
dc.description.sponsorshipThis research was funded by PID2021-127358NB-I00-MCIN/AEI/10.13039/501100011033 and by FEDER as a way of making Europe. Moreover, the research was also funded by RTI2018-095304-B-I00-MCIU/AEI/FEDER,UE. Finally, this study was also financed by the 2i program of the Provincial Council of Bizkaia (Spain) with expedient number 6/12/2i/2019/153.es_ES
dc.format.extent21 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceWater, 2023, 15, 3294es_ES
dc.subject.otherEstuarine stratification and mixinges_ES
dc.subject.otherDensity profile slope (m)es_ES
dc.subject.otherPotential energy anomaly (φ)es_ES
dc.subject.otherArtificial neural network (ANN)es_ES
dc.subject.other3D hydrodynamic modellinges_ES
dc.subject.otherClimate change projectionses_ES
dc.titleA dynamic estuarine classification of the vertical structure based on the water column density slope and the potential energy anomalyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.3390/w15183294
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International