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Continuous river discharge monitoring with bottom-mounted current profilers at narrow tidal estuaries

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dc.contributor.authorGarel, Erwan
dc.contributor.authorD’Alimonte, D.
dc.date.accessioned2018-08-30T14:25:05Z
dc.date.available2018-08-30T14:25:05Z
dc.date.issued2017
dc.date.updated2018-08-24T18:46:33Z
dc.description.abstractThe objective of this study is to verify whether accurate and continuous estimates of freshwater discharge at the mouth of a narrow estuary with a single channel can be obtained from a bottom-mounted current profiler (ADCP). The focus is on moderate- to high-discharge events that significantly affect the water circulation corresponding to low river flow conditions. Observations at the Guadiana Estuary (southern Iberia) indicate lateral subtidal flow variability, constant cross-channel area, and quasi-steady response of the axial velocity to discharge events. Based on the concept of maximum entropy, the mean and maximum channel velocities were related by a constant ratio, Ω, using data from three cross-channel surveys. This relationship was then used to estimate the freshwater discharge at the mouth based on the maximum velocity obtained from the detided ADCP velocity profiles. This approach was possible because the ADCP was deployed near the position of maximum current velocity, that is, over the deepest part of the channel. The results show good correspondence with observations, indicating that the entropy model can complete or substitute the records from upstream gauged stations that do not include the contribution from downstream tributaries. A Multilayer Perceptron neural net (MLP) based on the entropy approach was then implemented with the purpose of estimating the discharge when Ω is unknown. This latter analysis showsthat the relationship between maximum velocity and discharge is quasi-stationary. Consequently, the MLP can successfully estimate freshwater runoff if the training data represent all statistical properties of the river discharge dynamics. The results also indicate that Ω may vary not only with concomitant hydrographic conditions, but also with the recent (i.e., several days prior) discharge magnitude.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier02784343en_US
dc.identifier.citationGarel, E.; D’Alimonte, D.Continuous river discharge monitoring with bottom-mounted current profilers at narrow tidal estuaries, Continental Shelf Research, 133, na, 1-12, 2017.pt_PT
dc.identifier.doihttps://doi.org/10.1016/j.csr.2016.12.001pt_PT
dc.identifier.issn0278-4343
dc.identifier.urihttp://hdl.handle.net/10400.1/10773
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationHydrodynamics during high river inflows in narrow estuaries: a proxy for extreme flood events at larger systems
dc.subjectRiver dischargept_PT
dc.subjectMonitoringpt_PT
dc.subjectNarrow estuarypt_PT
dc.subjectFreshwater inflowspt_PT
dc.subjectEntropypt_PT
dc.subjectNeural networkpt_PT
dc.titleContinuous river discharge monitoring with bottom-mounted current profilers at narrow tidal estuariespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleHydrodynamics during high river inflows in narrow estuaries: a proxy for extreme flood events at larger systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Investigador FCT/IF%2F00661%2F2014%2FCP1234%2FCT0001/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Investigador FCT/IF%2F00541%2F2013%2FCP1181%2FCT0001/PT
oaire.citation.endPage12pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleContinental Shelf Researchpt_PT
oaire.citation.volume133pt_PT
oaire.fundingStreamInvestigador FCT
oaire.fundingStreamInvestigador FCT
person.familyNameGarel
person.givenNameErwan
person.identifier.ciencia-id5D13-7EA7-6C6D
person.identifier.orcid0000-0002-4584-9759
person.identifier.ridN-9811-2014
person.identifier.scopus-author-id23491739700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery7e619cba-3bfb-4964-bdf3-b8afd91a4a29
relation.isProjectOfPublication33609b30-13bc-4a86-aed9-32d79d7b7e9a
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