{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1362544421111180416.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1016/j.geomorph.2009.11.004"}},{"identifier":{"@type":"URI","@value":"https://api.elsevier.com/content/article/PII:S0169555X09004693?httpAccept=text/xml"}},{"identifier":{"@type":"URI","@value":"https://api.elsevier.com/content/article/PII:S0169555X09004693?httpAccept=text/plain"}}],"dc:title":[{"@value":"Regression analysis of Vs30 using topographic attributes from a 50-m DEM"}],"description":[{"notation":[{"@value":"Abstract   The average shear wave velocity for the top 30 m (Vs30) is one of the simple predictors of earthquake ground motion amplification. We performed a multiple linear regression analysis of the logarithm of observed Vs30 at 1646 locations in Japan with three topographic attributes (slope gradient, surface texture, and the logarithm of elevation) calculated from a 50-m DEM. A Vs30 map was created using the partial regression coefficients. The determination coefficient was 0.318. The development of the estimation method of Vs30 from a DEM will be useful for earthquake vulnerability assessment."}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1382544421111180417","@type":"Researcher","foaf:name":[{"@value":"Junko Iwahashi"}]},{"@id":"https://cir.nii.ac.jp/crid/1382544421111180288","@type":"Researcher","foaf:name":[{"@value":"Izumi Kamiya"}]},{"@id":"https://cir.nii.ac.jp/crid/1382544421111180416","@type":"Researcher","foaf:name":[{"@value":"Masashi Matsuoka"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"0169555X"}],"prism:publicationName":[{"@value":"Geomorphology"}],"dc:publisher":[{"@value":"Elsevier BV"}],"prism:publicationDate":"2010-04","prism:volume":"117","prism:number":"1-2","prism:startingPage":"202","prism:endingPage":"205"},"reviewed":"false","dc:rights":["https://www.elsevier.com/tdm/userlicense/1.0/"],"url":[{"@id":"https://api.elsevier.com/content/article/PII:S0169555X09004693?httpAccept=text/xml"},{"@id":"https://api.elsevier.com/content/article/PII:S0169555X09004693?httpAccept=text/plain"}],"createdAt":"2009-11-14","modifiedAt":"2018-12-15","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360285706515560960","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Topographic characterization of seismic networks using topographic position index and Voronoi tiles: a case of the Hokuriku region, Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1360285707168525952","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"From a GIS-based hybrid site condition map to an earthquake damage assessment in Iran: Methods and trends"}]},{"@id":"https://cir.nii.ac.jp/crid/2051433317007351552","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Global terrain classification using 280 m DEMs : segmentation, clustering, and reclassification"}]},{"@id":"https://cir.nii.ac.jp/crid/2120870839824344704","@type":"OtherWorks","resourceType":"学術雑誌論文(journal article)","relationType":["isIdenticalTo"],"jpcoar:relatedTitle":[{"@value":"Regression Analysis of Vs30 Using Topographic Attributes from a 50-m DEM"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1016/j.geomorph.2009.11.004"},{"@type":"OPENAIRE","@value":"doi_dedup___::c9103549a0923dbf78b682cc5c9a8228"},{"@type":"IRDB","@value":"oai:irdb.nii.ac.jp:00897:0004037583_isIdenticalTo_DOI_SPK0zKo9PZJGRxwJmMV5FZLhCcX"},{"@type":"CROSSREF","@value":"10.1186/s40645-017-0157-2_references_DOI_JKmGGyr9wZBaFhlSwGUwJBrR4Wj"},{"@type":"CROSSREF","@value":"10.1007/s12517-018-3451-4_references_DOI_JKmGGyr9wZBaFhlSwGUwJBrR4Wj"},{"@type":"CROSSREF","@value":"10.1016/j.ijdrr.2017.02.016_references_DOI_JKmGGyr9wZBaFhlSwGUwJBrR4Wj"}]}