Predicting Flood Plain Inundation for Natural Channels Having No Upstream Gauged Stations

dc.contributor.author Kaya, C. Melisa
dc.contributor.author Tayfur, Gökmen
dc.contributor.author Tayfur, Gökmen
dc.contributor.author Güngör, Oğuz
dc.contributor.other 03.03. Department of Civil Engineering
dc.contributor.other 03. Faculty of Engineering
dc.contributor.other 01. Izmir Institute of Technology
dc.coverage.doi 10.2166/wcc.2017.307
dc.date.accessioned 2020-07-25T22:17:44Z
dc.date.available 2020-07-25T22:17:44Z
dc.date.issued 2019
dc.description.abstract Flow hydrographs are one of the most important key elements for flood modelling. They are recorded as time series; however, they are not available in most developing countries due to lack of gauged stations. This study presents a flood modelling method for rivers having no upstream gauged stations. The modelling procedure involves three steps: (1) predicting upstream hydrograph by the reverse flood routing method which requires information about channel geometric characteristics, downstream flow stage and downstream flow hydrographs; (2) modelling flood wave spreading using HEC-RAS. The hydrograph predicted by the reverse flood routing in the first step becomes an inflow for the HEC-RAS model; (3) delineating the flood-risk areas by overlapping the Geographical Information System (GIS)-based flood maps produced by the HEC-RAS to the related orthophoto images. The developed model is applied to Guneysu Basin in Rize Province in Eastern Black Sea Region of Turkey. The model-produced flood map is compared to the observed one with success. en_US
dc.identifier.doi 10.2166/wcc.2017.307 en_US
dc.identifier.issn 2040-2244
dc.identifier.issn 2408-9354
dc.identifier.scopus 2-s2.0-85071996848
dc.identifier.uri https://doi.org/10.2166/wcc.2017.307
dc.identifier.uri https://hdl.handle.net/11147/9609
dc.language.iso en en_US
dc.publisher IWA Publishing en_US
dc.relation.ispartof Journal of Water and Climate Change en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Flood modelling en_US
dc.subject GIS en_US
dc.subject HEC-RAS en_US
dc.subject Hydrograph generation en_US
dc.subject Reverse routing en_US
dc.title Predicting Flood Plain Inundation for Natural Channels Having No Upstream Gauged Stations en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Tayfur, Gökmen
gdc.author.institutional Tayfur, Gökmen
gdc.bip.impulseclass C5
gdc.bip.influenceclass C4
gdc.bip.popularityclass C3
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 372 en_US
gdc.description.issue 2 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 360 en_US
gdc.description.volume 10 en_US
gdc.description.wosquality Q2
gdc.identifier.openalex W2768316630
gdc.identifier.wos WOS:000475965300012
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.downloads 0
gdc.oaire.impulse 4.0
gdc.oaire.influence 4.7466413E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Hydrograph generation
gdc.oaire.keywords HEC-RAS
gdc.oaire.keywords Flood modelling
gdc.oaire.keywords Reverse routing
gdc.oaire.keywords GIS
gdc.oaire.popularity 4.2039094E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0208 environmental biotechnology
gdc.oaire.sciencefields 0207 environmental engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.views 2
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gdc.openalex.normalizedpercentile 0.73
gdc.opencitations.count 45
gdc.plumx.mendeley 45
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gdc.scopus.citedcount 47
gdc.wos.citedcount 44
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