A Statistical Model for Earthquake And/Or Rainfall Triggered Landslides

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dc.citation.volume8
dc.contributor.authorFrigerio Porta G
dc.contributor.authorBebbington M
dc.contributor.authorXiao X
dc.contributor.authorJones G
dc.contributor.editorXu C
dc.date.accessioned2023-11-02T18:53:53Z
dc.date.accessioned2023-11-03T04:55:13Z
dc.date.available2021-02-04
dc.date.available2023-11-02T18:53:53Z
dc.date.available2023-11-03T04:55:13Z
dc.date.issued2021-02-04
dc.description.abstractNatural hazards can be initiated by different types of triggering events. For landslides, the triggering events are predominantly earthquakes and rainfall. However, risk analysis commonly focuses on a single mechanism, without considering possible interactions between the primary triggering events. Spatial modeling of landslide susceptibility (suppressing temporal dependence), or tailoring models to specific areas and events are not sufficient to understand the risk produced by interacting causes. More elaborate models with interactions, capable of capturing direct or indirect triggering of secondary hazards, are required. By discretising space, we create a daily-spatio-temporal hazard model to evaluate the relative and combined effects on landslide triggering due to earthquakes and rainfall. A case study on the Italian region of Emilia-Romagna is presented, which suggests these triggering effects are best modeled as additive. This paper demonstrates how point processes can be used to model the triggering influence of multiple factors in a large real dataset collected from various sources.
dc.description.confidentialfalse
dc.edition.edition2020
dc.identifier.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000619010600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifier.citationFrigerio Porta G, Bebbington M, Xiao X, Jones G. (2021). A Statistical Model for Earthquake And/Or Rainfall Triggered Landslides. Frontiers in Earth Science. 8.
dc.identifier.doi10.3389/feart.2020.605003
dc.identifier.eissn2296-6463
dc.identifier.elements-typejournal-article
dc.identifier.numberARTN 605003
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/69017
dc.languageEnglish
dc.publisherFrontiers Media S.A.
dc.publisher.urihttps://www.frontiersin.org/articles/10.3389/feart.2020.605003/full
dc.relation.isPartOfFrontiers in Earth Science
dc.rights(c) 2021 The Author/s
dc.rightsCC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjecthistorical landslide
dc.subjecthazard
dc.subjectItaly
dc.subjectinteraction
dc.subjectpoint process
dc.subjectearthquake
dc.subjectrainfall
dc.subjectlandslide
dc.titleA Statistical Model for Earthquake And/Or Rainfall Triggered Landslides
dc.typeJournal article
pubs.elements-id440854
pubs.organisational-groupOther
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