{"@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/1360574094118278784.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.5194/nhess-18-807-2018"}},{"identifier":{"@type":"URI","@value":"https://nhess.copernicus.org/articles/18/807/2018/nhess-18-807-2018.pdf"}}],"dc:title":[{"@value":"Brief communication: Using averaged soil moisture estimates to improve the performances of a regional-scale landslide  early warning system"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p>Abstract. We communicate the results of a preliminary investigation aimed at\nimproving a state-of-the-art RSLEWS (regional-scale landslide early\nwarning system) based on rainfall thresholds by integrating mean\nsoil moisture values averaged over the territorial units of the\nsystem. We tested two approaches. The simplest can be easily applied\nto improve other RSLEWS: it is based on a soil moisture threshold\nvalue under which rainfall thresholds are not used because\nlandslides are not expected to occur. Another approach deeply\nmodifies the original RSLEWS: thresholds based on antecedent\nrainfall accumulated over long periods are substituted with soil\nmoisture thresholds. A back analysis demonstrated that both\napproaches consistently reduced false alarms, while the second\napproach reduced missed alarms as well.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1380574094118278784","@type":"Researcher","foaf:name":[{"@value":"Samuele Segoni"}]},{"@id":"https://cir.nii.ac.jp/crid/1380574094118278787","@type":"Researcher","foaf:name":[{"@value":"Ascanio Rosi"}]},{"@id":"https://cir.nii.ac.jp/crid/1380574094118278785","@type":"Researcher","foaf:name":[{"@value":"Daniela Lagomarsino"}]},{"@id":"https://cir.nii.ac.jp/crid/1380574094118278786","@type":"Researcher","foaf:name":[{"@value":"Riccardo Fanti"}]},{"@id":"https://cir.nii.ac.jp/crid/1380574094118278788","@type":"Researcher","foaf:name":[{"@value":"Nicola Casagli"}]}],"publication":{"publicationIdentifier":[{"@type":"EISSN","@value":"16849981"}],"prism:publicationName":[{"@value":"Natural Hazards and Earth System Sciences"}],"dc:publisher":[{"@value":"Copernicus GmbH"}],"prism:publicationDate":"2018-03-13","prism:volume":"18","prism:number":"3","prism:startingPage":"807","prism:endingPage":"812"},"reviewed":"false","dc:rights":["https://creativecommons.org/licenses/by/4.0/"],"url":[{"@id":"https://nhess.copernicus.org/articles/18/807/2018/nhess-18-807-2018.pdf"}],"createdAt":"2018-03-13","modifiedAt":"2025-02-07","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/2051151842044695040","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Scaling land-surface variables for landslide detection"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.5194/nhess-18-807-2018"},{"@type":"CROSSREF","@value":"10.1186/s40645-019-0290-1_references_DOI_4YUBDjAlgTEsjUgHhGRvAVkOPrM"}]}