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A high-frequency low-cost technique for measuring small-scale water level fluctuations using computer vision

2021Journal article Restricted access
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dc.contributor.authorIsidoro, Jorge
dc.contributor.authorMartins, Ricardo
dc.contributor.authorCarvalho, Rita F.
dc.contributor.authorde Lima, João L.M.P.
dc.date.accessioned2021-07-07T09:24:21Z
dc.date.available2021-07-07T09:24:21Z
dc.date.issued2021
dc.description.abstractMeasuring and monitoring the water depth/level is a key issue when studying free-surface flows. These tasks are usually expensive in terms of time and money; however, even that expenditure is sometimes not enough to assure reliable and/or accurate results. Free-surface flows are complicated to deal with, as the instability caused by e.g., turbulence, wind, or air-entrainment, can cause important spatial and temporal fluctuations at the surface level. This work presents a non-intrusive, computer vision-based image treatment and segmentation technique that assures the detection and measurement of the free-surface water fluctuations along space and time. The labo-ratory physically based tests under steady flow conditions, and different channel bed roughness and slopes, showed a very good fit with manually direct measurements carried out with a point-gauge micrometre. Under unsteady flow conditions this technique also showed to successfully deal with applications requiring high spatiotemporal resolution of water depth/level measurements.pt_PT
dc.description.sponsorshipCENTRO-01-0145-FEDER-029351; PTDC/BIA-EVL/29199/2017; PRIMASection22018; UIDB/04292/2020; UIDB/50017/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.measurement.2021.109477pt_PT
dc.identifier.issn0263-2241
dc.identifier.urihttp://hdl.handle.net/10400.1/16736
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.subjectHydrometrypt_PT
dc.subjectSurface water levelpt_PT
dc.subjectComputer visionpt_PT
dc.subjectMATLAB®pt_PT
dc.titleA high-frequency low-cost technique for measuring small-scale water level fluctuations using computer visionpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage109477pt_PT
oaire.citation.titleMeasurementpt_PT
oaire.citation.volume180pt_PT
person.familyNameIsidoro
person.givenNameJorge
person.identifierR-000-7SY
person.identifier.ciencia-idA617-A962-DE4F
person.identifier.orcid0000-0002-6901-5652
person.identifier.ridN-1814-2015
person.identifier.scopus-author-id55250130500
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationce8b5f4a-f058-4320-b57b-0cb775918b7b
relation.isAuthorOfPublication.latestForDiscoveryce8b5f4a-f058-4320-b57b-0cb775918b7b

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