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Risk Assessment of Sea Level Rise for Karasu Coastal Area, Turkey

dc.authorid Tora, Hakan/0000-0002-0427-483X
dc.authorid Numanoglu Genc, Asli/0000-0003-1223-0842
dc.authorscopusid 58075736300
dc.authorscopusid 55851202200
dc.authorscopusid 6506642154
dc.authorscopusid 56875440000
dc.authorwosid Numanoglu Genc, Asli/K-8094-2017
dc.contributor.author Eliawa, Ali
dc.contributor.author Genc, Asli Numanoglu
dc.contributor.author Tora, Hakan
dc.contributor.author Maras, Hadi Hakan
dc.contributor.authorID 34410 tr_TR
dc.contributor.other Bilgisayar Mühendisliği
dc.date.accessioned 2024-01-23T13:33:21Z
dc.date.available 2024-01-23T13:33:21Z
dc.date.issued 2023
dc.department Çankaya University en_US
dc.department-temp [Eliawa, Ali] Azzaytuna Univ, Dept Geol, POB 5338, Tripoli, Libya; [Genc, Asli Numanoglu] TED Univ, Dept Civil Engn, TR-06420 Ankara, Turkiye; [Tora, Hakan] Atilim Univ, Dept Elect & Elect Engn, TR-06830 Ankara, Turkiye; [Maras, Hadi Hakan] Cankaya Univ, Dept Comp Engn, TR-06790 Ankara, Turkiye en_US
dc.description Tora, Hakan/0000-0002-0427-483X; Numanoglu Genc, Asli/0000-0003-1223-0842 en_US
dc.description.abstract Sea Level Rise (SLR) due to global warming is becoming a more pressing issue for coastal zones. This paper presents an overall analysis to assess the risk of a low-lying coastal area in Karasu, Turkey. For SLR scenarios of 1 m, 2 m, and 3 m by 2100, inundation levels were visualized using Digital Elevation Model (DEM). The eight-side rule is applied as an algorithm through Geographic Information System (GIS) using ArcMap software with high-resolution DEM data generated by eleven 1:5000 scale topographic maps. The outcomes of GIS-based inundation maps indicated 1.40%, 6.02%, and 29.27% of the total land area by 1 m, 2 m, and 3 m SLR scenarios, respectively. Risk maps have shown that water bodies, low-lying urban areas, arable land, and beach areas have a higher risk at 1 m. In a 2 m scenario, along with the risk of the 1 m scenario, forests become at risk as well. For the 3 m scenario, almost all the territorial features of the Karasu coast are found to be inundated. The effect of SLR scenarios based on population and Gross Domestic Product (GDP) is also analyzed. It is found that the 2 and 3 m scenarios lead to a much higher risk compared to the 1 m scenario. The combined hazard-vulnerability data shows that estuarine areas on the west and east of the Karasu region have a medium vulnerability. These results provide primary assessment data for the Karasu region for the decision-makers to enhance land use policies and coastal management plans. en_US
dc.description.publishedMonth 1
dc.description.woscitationindex Emerging Sources Citation Index
dc.identifier.citation Eliawa, Ali;...et.al. (2023). "Risk Assessment of Sea Level Rise for Karasu Coastal Area, Turkey", Hydrology, Vol.10, No.1. en_US
dc.identifier.doi 10.3390/hydrology10010013
dc.identifier.issn 2306-5338
dc.identifier.issue 1 en_US
dc.identifier.scopus 2-s2.0-85146822174
dc.identifier.scopusquality Q2
dc.identifier.uri https://doi.org/10.3390/hydrology10010013
dc.identifier.volume 10 en_US
dc.identifier.wos WOS:000915182300001
dc.identifier.wosquality N/A
dc.institutionauthor Maraş, Hadi Hakan
dc.language.iso en en_US
dc.publisher Mdpi en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 2
dc.subject Sea Level Rise en_US
dc.subject Risk en_US
dc.subject Coastal Hazard en_US
dc.subject Digital Elevation Model en_US
dc.subject Karasu en_US
dc.title Risk Assessment of Sea Level Rise for Karasu Coastal Area, Turkey tr_TR
dc.title Risk Assessment of Sea Level Rise for Karasu Coastal Area, Turkey en_US
dc.type Article en_US
dc.wos.citedbyCount 2
dspace.entity.type Publication
relation.isAuthorOfPublication 8c98bd6c-e698-4f0e-8c8b-ab2fb09ee9ab
relation.isAuthorOfPublication.latestForDiscovery 8c98bd6c-e698-4f0e-8c8b-ab2fb09ee9ab
relation.isOrgUnitOfPublication 12489df3-847d-4936-8339-f3d38607992f
relation.isOrgUnitOfPublication.latestForDiscovery 12489df3-847d-4936-8339-f3d38607992f

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