Digital Terrain Characterization and Interpretation of Lake Van Region for Earthquake Vulnerability Combining Remote Sensing and Geographical Information Systems
dc.contributor.author | Demirkesen, Ali Can | |
dc.contributor.author | Evrendilek, Fatih | |
dc.contributor.other | 02.03. Department of City and Regional Planning | |
dc.contributor.other | 02. Faculty of Architecture | |
dc.contributor.other | 01. Izmir Institute of Technology | |
dc.date.accessioned | 2020-07-25T22:09:24Z | |
dc.date.available | 2020-07-25T22:09:24Z | |
dc.date.issued | 2017 | |
dc.description.abstract | The Lake Van basin and its surroundings (36,500 km(2)) in the eastern Turkey have not been investigated adequately in terms of earthquake vulnerability, and pre-earthquake preparedness. In this study, a digital terrain model (DTM) of the Lake Van region was developed combining an ASTER digital elevation model (DEM), Landsat-7 ETM+ imagery, remote sensing techniques, and geographical information systems. Terrain characteristics derived from DTM with DEM, and a 3-D land-use and land-cover fly-through view such as fault zones, drainage patterns, lineaments, and landforms were interpreted in terms of earthquake vulnerability. Our results indicate that the directions of Mus-Tatvan (Mus thrust), Bitlis thrust, and ErcisPatnos-Malazgirt-Varto-Karliova along with Van and Ercis possess the highest risk of earthquake hazards. | en_US |
dc.identifier.issn | 1018-4619 | |
dc.identifier.issn | 1610-2304 | |
dc.identifier.uri | https://hdl.handle.net/11147/9317 | |
dc.language.iso | en | en_US |
dc.publisher | Parlar Scientific Publications | en_US |
dc.relation.ispartof | Fresenius Environmental Bulletin | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Earthquake vulnerability | en_US |
dc.subject | Geomorphological characterization | en_US |
dc.subject | Digital terrain interpretation | en_US |
dc.subject | Digital terrain model | en_US |
dc.title | Digital Terrain Characterization and Interpretation of Lake Van Region for Earthquake Vulnerability Combining Remote Sensing and Geographical Information Systems | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
gdc.author.institutional | Demirkesen, Ali Can | |
gdc.author.institutional | Demirkesen, Ali Can | |
gdc.coar.access | open access | |
gdc.coar.type | text::journal::journal article | |
gdc.description.department | İzmir Institute of Technology. City and Regional Planning | en_US |
gdc.description.endpage | 1755 | en_US |
gdc.description.issue | 2A | en_US |
gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
gdc.description.scopusquality | N/A | |
gdc.description.startpage | 1745 | en_US |
gdc.description.volume | 26 | en_US |
gdc.identifier.wos | WOS:000396642600051 | |
gdc.wos.citedcount | 3 | |
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relation.isAuthorOfPublication.latestForDiscovery | a75df78a-b07b-4d8f-8270-9c6b928f5939 | |
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