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 Güngör, Oğuz
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.opencitations.count 45
gdc.plumx.mendeley 45
gdc.plumx.scopuscites 47
gdc.scopus.citedcount 47
gdc.wos.citedcount 44
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