Estimation of Suspended Sediment Concentration in Rivers Using Acoustic Methods

dc.contributor.author Elçi, Şebnem
dc.contributor.author Aydın, Ramazan
dc.contributor.author Work, Paul A.
dc.coverage.doi 10.1007/s10661-008-0627-5
dc.date.accessioned 2017-04-03T10:53:10Z
dc.date.available 2017-04-03T10:53:10Z
dc.date.issued 2009
dc.description.abstract Acoustic Doppler current meters (ADV, ADCP, and ADP) are widely used in water systems to measure flow velocities and velocity profiles. Although these meters are designed for flow velocity measurements, they can also provide information defining the quantity of particulate matter in the water, after appropriate calibration. When an acoustic instrument is calibrated for a water system, no additional sensor is needed to measure suspended sediment concentration (SSC). This provides the simultaneous measurements of velocity and concentration required for most sediment transport studies. The performance of acoustic Doppler current meters for measuring SSC was investigated in different studies where signal-to-noise ratio (SNR) and suspended sediment concentration were related using different formulations. However, these studies were each limited to a single study site where neither the effect of particle size nor the effect of temperature was investigated. In this study, different parameters that affect the performance of an ADV for the prediction of SSC are investigated. In order to investigate the reliability of an ADV for SSC measurements in different environments, flow and SSC measurements were made in different streams located in the Aegean region of Turkey having different soil types. Soil samples were collected from all measuring stations and particle size analysis was conducted by mechanical means. Multivariate analysis was utilized to investigate the effect of soil type and water temperature on the measurements. Statistical analysis indicates that SNR readings ob tained from the ADV are affected by water temperature and particle size distribution of the soil, as expected, and a prediction model is presented relating SNR readings to SSC mea surements where both water temperature and sediment characteristics type are incorporated into the model. The coefficients of the suggested model were obtained using the multivariate anal ysis. Effect of high turbidity conditions on ADV performance was also investigated during and after rain events. en_US
dc.description.sponsorship European Commission en_US
dc.identifier.citation Elçi, Ş., Aydın, R. and Work, P.A. (2009). Estimation of suspended sediment concentration in rivers using acoustic methods. Environmental Monitoring and Assessment, 159(1-4), 255-265. doi:10.1007/s10661-008-0627-5 en_US
dc.identifier.doi 10.1007/s10661-008-0627-5 en_US
dc.identifier.doi 10.1007/s10661-008-0627-5
dc.identifier.issn 0167-6369
dc.identifier.issn 0167-6369
dc.identifier.issn 1573-2959
dc.identifier.scopus 2-s2.0-70450273509
dc.identifier.uri http://dx.doi.org/10.1007/s10661-008-0627-5
dc.identifier.uri https://hdl.handle.net/11147/5200
dc.language.iso en en_US
dc.publisher Springer Verlag en_US
dc.relation.ispartof Environmental Monitoring and Assessment en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Acoustic Doppler en_US
dc.subject Aegean en_US
dc.subject Multivariate analysis en_US
dc.subject Particle size en_US
dc.subject Suspended sediment concentration en_US
dc.subject Particle size en_US
dc.title Estimation of Suspended Sediment Concentration in Rivers Using Acoustic Methods en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Elçi, Şebnem
gdc.author.institutional Aydın, Ramazan
gdc.author.yokid 107796
gdc.bip.impulseclass C5
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Civil Engineering en_US
gdc.description.endpage 265 en_US
gdc.description.issue 1-4 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 255 en_US
gdc.description.volume 159 en_US
gdc.description.wosquality Q3
gdc.identifier.openalex W2077779721
gdc.identifier.pmid 19067212
gdc.identifier.wos WOS:000271530400020
gdc.index.type WoS
gdc.index.type Scopus
gdc.index.type PubMed
gdc.oaire.accesstype BRONZE
gdc.oaire.diamondjournal false
gdc.oaire.impulse 2.0
gdc.oaire.influence 4.035961E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Geologic Sediments
gdc.oaire.keywords Suspended sediment concentration
gdc.oaire.keywords Particle size
gdc.oaire.keywords Acoustics
gdc.oaire.keywords Multivariate analysis
gdc.oaire.keywords Rivers
gdc.oaire.keywords Multivariate Analysis
gdc.oaire.keywords Aegean
gdc.oaire.keywords Acoustic Doppler
gdc.oaire.keywords Environmental Monitoring
gdc.oaire.popularity 5.3841958E-9
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gdc.oaire.sciencefields 0207 environmental engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration International
gdc.openalex.fwci 0.55989744
gdc.openalex.normalizedpercentile 0.73
gdc.opencitations.count 17
gdc.plumx.crossrefcites 9
gdc.plumx.mendeley 43
gdc.plumx.pubmedcites 2
gdc.plumx.scopuscites 23
gdc.scopus.citedcount 23
gdc.wos.citedcount 20
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relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4020-8abe-a4dfe192da5e

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