Using Numerical Models and Acoustic Methods To Predict Reservoir Sedimentation

dc.contributor.author Elçi, Şebnem
dc.contributor.author Bor, Aslı
dc.contributor.author Çalışkan, Anıl
dc.coverage.doi 10.1080/07438140903117183
dc.date.accessioned 2016-11-21T14:15:12Z
dc.date.available 2016-11-21T14:15:12Z
dc.date.issued 2009
dc.description.abstract This study draws on drainage basin hydrography, numerical modeling and geographic information system (GIS) techniques in concert with dual frequency echo sounder data to estimate sediment thickness when initial surveys are unavailable or inaccurate. Tahtali Reservoir (Turkey), which provides 40% of water supply to the city of Izmir, was selected as the study site. Deposition patterns within the whole lake were estimated with a 3-D hydrodynamic and sediment transport model applied to Tahtali Reservoir. The numerical model simulated lake response to wind forcing and inflows and/or outflows and was used to describe sediment deposition patterns resulting from the erosion of soils quantified by the implementation of Universal Soil Loss Equation (USLE) to the whole watershed. Surveying of the lake via dual frequency (28/200 kHz) echo sounder system revealed the current bathymetry, and sediment thickness was estimated from the difference of depths measured by the dual frequency sounder along surveyed transects. These results were compared to the modeled sedimentation thicknesses and to preliminary estimates of watershed sediment yield estimated by USLE. Results of this study can be used for further water quality studies and for long term management plans. en_US
dc.description.sponsorship TÜBİTAK project No: 104Y323 and European Commission project No: 28292 (RESTRAT) en_US
dc.identifier.citation Elçi, Ş., Bor, A., and Çalışkan, A. (2009). Using numerical models and acoustic methods to predict reservoir sedimentation. Lake and Reservoir Management, 25(3), 297-306. doi:10.1080/07438140903117183 en_US
dc.identifier.doi 10.1080/07438140903117183
dc.identifier.issn 0743-8141
dc.identifier.issn 1040-2381
dc.identifier.issn 2151-5530
dc.identifier.scopus 2-s2.0-77956472384
dc.identifier.uri http://dx.doi.org/10.1080/07438140903117183
dc.identifier.uri http://hdl.handle.net/11147/2486
dc.language.iso en en_US
dc.publisher Taylor and Francis Ltd. en_US
dc.relation.ispartof Lake and Reservoir Management en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject EFDC model en_US
dc.subject USLE en_US
dc.subject Bathymetry en_US
dc.subject Sedimentation en_US
dc.subject Echo sounder en_US
dc.subject Tahtalı Reservoir en_US
dc.title Using Numerical Models and Acoustic Methods To Predict Reservoir Sedimentation en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Elçi, Şebnem
gdc.author.institutional Bor, Aslı
gdc.author.institutional Çalışkan, Anıl
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 306 en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 297 en_US
gdc.description.volume 25 en_US
gdc.description.wosquality Q4
gdc.identifier.openalex W2014586429
gdc.identifier.wos WOS:000269667600007
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype BRONZE
gdc.oaire.diamondjournal false
gdc.oaire.impulse 2.0
gdc.oaire.influence 4.3617505E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Bathymetry
gdc.oaire.keywords USLE
gdc.oaire.keywords Tahtalı Reservoir
gdc.oaire.keywords Sedimentation
gdc.oaire.keywords Echo sounder
gdc.oaire.keywords EFDC model
gdc.oaire.popularity 6.280598E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0207 environmental engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 0.56100707
gdc.openalex.normalizedpercentile 0.72
gdc.opencitations.count 17
gdc.plumx.crossrefcites 9
gdc.plumx.mendeley 30
gdc.plumx.scopuscites 19
gdc.relation.tubitak info:eu-repo/grantAgreement/TUBITAK/CAYDAG/104Y323
gdc.scopus.citedcount 19
gdc.wos.citedcount 19
relation.isAuthorOfPublication.latestForDiscovery 7a8f30ca-fdae-4571-8c85-dff5e87f180d
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4020-8abe-a4dfe192da5e

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