Detection of Flood Hazard in Urban Areas Using Gis: Izmir Case

dc.contributor.author Özkan, Sevim Pelin
dc.contributor.author Tarhan, Çiğdem
dc.coverage.doi 10.1016/j.protcy.2016.01.026
dc.date.accessioned 2020-07-25T22:12:39Z
dc.date.available 2020-07-25T22:12:39Z
dc.date.issued 2016
dc.description 9th International Conference on Interdisciplinarity in Engineering (INTER-ENG) -- OCT 08-09, 2015 -- Univ Tirgu Mure, Fac Engn, Tirgu Mures, ROMANIA en_US
dc.description.abstract The aim of this study is to predict the potential flood-hazard areas using Shuttle Radar Topography Mission-Digital Elevation Model (SRTM-DEM). The study area is the province of Izmir. SRTM-DEM of the Izmir Province has 90 m of grid size resolution; 45 m of horizontal accuracy; and 15 m of vertical accuracy. Within this study, obtaining spatial information on flood hazard by using Izmir digital terrain models and by 3D analysis that will help to achieve the regional flood hazard management scheme is aimed. Flood-hazard areas have been identified by the use of digital elevation model covering the study area. The main rivers in the study area are Gediz, Kucuk Menderes and Bakircay that creates the coastal flood plains. In order to estimate the spatial distribution of flood-hazard areas in Izmir, five factors are used: flow accumulation, land use, slope, rainfall intensity, and elevation. The classic hydrological modelling approach was applied to determine the rainfall intensity; rainfall intensity of study region is created with the average amount of total rainfall intensity of fifteen stations in the two basins per minute using the interpolation method (spline interpolation). By the digitizing rivers, topography, flow direction and flow accumulation, as well as the flood detention areas are determined. These factors were combined with the weighted overlay method to determine categorized flood-hazard areas. As a result, possible flood-hazard areas have been determined in the case of Izmir Province. (C) 2016 The Authors. Published by Elsevier Ltd. en_US
dc.identifier.doi 10.1016/j.protcy.2016.01.026
dc.identifier.issn 2212-0173
dc.identifier.uri https://doi.org/10.1016/j.protcy.2016.01.026
dc.identifier.uri https://hdl.handle.net/11147/9472
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof 9th International Conference Interdisciplinarity in Engineering, INTER-ENG 2015 en_US
dc.relation.ispartofseries Procedia Technology
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Weighted overlay en_US
dc.subject GIS en_US
dc.subject Izmir en_US
dc.subject Flood hazard map en_US
dc.subject SRTM en_US
dc.title Detection of Flood Hazard in Urban Areas Using Gis: Izmir Case en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.institutional Özkan, Sevim Pelin
gdc.bip.impulseclass C5
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::conference output
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. City and Regional Planning en_US
gdc.description.endpage 381 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 373 en_US
gdc.description.volume 22 en_US
gdc.description.wosquality N/A
gdc.identifier.openalex W2282567738
gdc.identifier.wos WOS:000383949300052
gdc.index.type WoS
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.downloads 0
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gdc.oaire.influence 4.8336934E-9
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gdc.oaire.keywords GIS
gdc.oaire.keywords weighted overlay
gdc.oaire.keywords Flood hazard map
gdc.oaire.keywords Weighted overlay
gdc.oaire.keywords Izmir
gdc.oaire.keywords SRTM
gdc.oaire.keywords flood hazard map
gdc.oaire.popularity 2.7738809E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0105 earth and related environmental sciences
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gdc.openalex.normalizedpercentile 0.77
gdc.opencitations.count 34
gdc.plumx.crossrefcites 3
gdc.plumx.mendeley 176
gdc.wos.citedcount 35
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4003-8abe-a4dfe192da5e

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