Various filtering algorithms used to eliminate outliers in velocity time series obtained by ADVs (acoustic Doppler velocimeter)

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dc.contributor.authorKöse, Ömer
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:19:45Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:19:45Z
dc.date.issued2013
dc.departmentMühendislik Fakültesi
dc.description.abstractThe correct measurement of velocities in rivers is important for the true determination of discharge, erosion, scouring, and sediment transport processes. With the goal of increased accuracy, the use of acoustic Doppler velocimeters (ADVs) is increasing in hydrological measurements in rivers, lakes, and laboratories. ADVs are extensively used in the USA. ADVs have advantages when compared with classical measurement devices; however, one must be careful while using an ADV because their sampling approach creates a large number of extreme values by sending signals into the flow, measuring the velocities of particles moving with the water and assuming that these particles move with same velocity as the water. To calculate unbiased statistical properties, outliers must be removed from the time series. This study explains the methods used to filter velocity time series collected with ADVs and investigates the effects of these filters on the statistical characteristics of the filtered time series.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)
dc.description.sponsorshipAuthor Omer Kose is supported financially by The Scientific and Technological Research Council of Turkey (TUBITAK). Special thanks to go to Dr. Ben R. Hodges for giving permission to use laboratory equipment at the Center for Research in Water Resources at the University of Texas at Austin.
dc.identifier.doi10.1007/s12517-012-0523-8
dc.identifier.endpage2697en_US
dc.identifier.issn1866-7511
dc.identifier.issue7en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage2691en_US
dc.identifier.urihttps://doi.org/10.1007/s12517-012-0523-8
dc.identifier.urihttps://hdl.handle.net/20.500.12451/5027
dc.identifier.volume6en_US
dc.identifier.wosWOS:000320662000038
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSPRINGER HEIDELBERG
dc.relation.ispartofARABIAN JOURNAL OF GEOSCIENCES
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectADV
dc.subjectVelocity Time Series
dc.subjectOutlier
dc.subjectPhysical and Statistical Filters
dc.titleVarious filtering algorithms used to eliminate outliers in velocity time series obtained by ADVs (acoustic Doppler velocimeter)
dc.typeArticle

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