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 | |
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| gdc.oaire.downloads | 0 | |
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| 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 | |
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| gdc.openalex.collaboration | National | |
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| gdc.opencitations.count | 45 | |
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| gdc.plumx.scopuscites | 47 | |
| gdc.scopus.citedcount | 47 | |
| gdc.wos.citedcount | 44 | |
| relation.isAuthorOfPublication.latestForDiscovery | c04aa74a-2afd-4ce1-be50-e0f634f7c53d | |
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