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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22353
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dc.contributor.authorJavier, Dymphnaen
dc.contributor.authorKumar, Laliten
dc.date.accessioned2018-01-18T11:49:00Z-
dc.date.issued2018-
dc.identifier.citationNatural Hazards, 90(2), p. 921-941en
dc.identifier.issn1573-0840en
dc.identifier.issn0921-030Xen
dc.identifier.urihttps://hdl.handle.net/1959.11/22353-
dc.description.abstractRainfall-induced landslides (RILs) have been a source of social and economic disruption in the mountainous Baguio area in northern Philippines. Prolonged heavy rainfall usually happens during tropical cyclone and southwest monsoon activity. A pragmatic approach to RIL mitigation is to develop rainfall-based early warning. We implemented a modified regression method to derive the empirical minimum intensity (I)– duration (D) threshold I = 6.46 D-0.28 and a normalized ID threshold NI = 0.002 D-0.28 for rainfall duration ranging between 24 and 264 h. Using a separate data set to evaluate the applicability of the threshold, 93% of the landslide-triggering rainfall events fell above the derived threshold. RILs also occurred when 24-h rainfall was 0.02–28% of the mean annual precipitation or after accumulating at least 500 mm of rainfall from the onset of the rainy season. The thresholds may be further refined as more landslide data become available in the future.en
dc.languageenen
dc.publisherSpringer Netherlandsen
dc.relation.ispartofNatural Hazardsen
dc.titleDeriving the rainfall threshold for shallow landslide early warning during tropical cyclones: a case study in northern Philippinesen
dc.typeJournal Articleen
dc.identifier.doi10.1007/s11069-017-3081-2en
dc.subject.keywordsEnvironmental Engineering Modellingen
dc.subject.keywordsGeospatial Information Systemsen
dc.subject.keywordsPhotogrammetry and Remote Sensingen
local.contributor.firstnameDymphnaen
local.contributor.firstnameLaliten
local.subject.for2008090702 Environmental Engineering Modellingen
local.subject.for2008090903 Geospatial Information Systemsen
local.subject.for2008090905 Photogrammetry and Remote Sensingen
local.subject.seo2008961008 Natural Hazards in Mountain and High Country Environmentsen
local.subject.seo2008961010 Natural Hazards in Urban and Industrial Environmentsen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emaildjavier@myune.edu.auen
local.profile.emaillkumar@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-chute-20171115-145634en
local.publisher.placeNetherlandsen
local.format.startpage921en
local.format.endpage941en
local.identifier.scopusid85032666151en
local.peerreviewedYesen
local.identifier.volume90en
local.identifier.issue2en
local.title.subtitlea case study in northern Philippinesen
local.contributor.lastnameJavieren
local.contributor.lastnameKumaren
dc.identifier.staffune-id:djavieren
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:22542en
local.identifier.handlehttps://hdl.handle.net/1959.11/22353en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleDeriving the rainfall threshold for shallow landslide early warning during tropical cyclonesen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorJavier, Dymphnaen
local.search.authorKumar, Laliten
local.uneassociationUnknownen
local.identifier.wosid000417721100019en
local.year.published2018en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/3a0f864c-478c-4f24-8a26-3ac797f28ef8en
local.subject.for2020401304 Photogrammetry and remote sensingen
local.subject.for2020401102 Environmentally sustainable engineeringen
local.subject.for2020401302 Geospatial information systems and geospatial data modellingen
local.subject.seo2020190405 Meteorological hazards (e.g. cyclones and storms)en
dc.notification.token6cf82d67-6e44-4294-9185-6688b5d54f17en
local.codeupdate.date2022-03-25T09:55:40.537en
local.codeupdate.epersonghart4@une.edu.auen
local.codeupdate.finalisedtrueen
local.original.for2020401102 Environmentally sustainable engineeringen
local.original.for2020401103 Global and planetary environmental engineeringen
local.original.for2020401302 Geospatial information systems and geospatial data modellingen
local.original.for2020401304 Photogrammetry and remote sensingen
local.original.seo2020undefineden
local.original.seo2020undefineden
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School of Environmental and Rural Science
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