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A comparison between bivariate and multivariate methods to assess susceptibility to liquefaction-related coseismic surface effects in the Po Plain (Northern Italy)

2018Journal article Open access
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dc.contributor.authorLanfredi Sofia, C.
dc.contributor.authorOliveira, Sérgio
dc.contributor.authorPereira, Susana
dc.contributor.authorZêzere, José
dc.contributor.authorCorsini, A.
dc.date.accessioned2019-07-10T15:12:12Z
dc.date.available2019-07-10T15:12:12Z
dc.date.issued2018
dc.description.abstractThe two main events occurred during the 2012 seismic sequence on the Po Plain in Northern Italy (May 20 Mw 5.9 and May 29 Mw 5.8) induced widespread coseismic surface effects (CSEs), mostly liquefaction phenomena, which caused severe damages. To prevent risks related to CSE, an important non-structural measure is to assess locations susceptible to liquefaction, which is usually done at site scale by means of deterministic approaches in micro-zonation studies. This paper brings a novel methodological contribution in the field of CSE susceptibility mapping at regional scale, by testing and comparing bivariate (Weights of Evidence) and multivariate (Logistic Regression) methods that, so far, have not yet been used for such purpose. In a study area of 1480 km2 , the computation used an inventory of CSE as supporting evidence and a set of maps with geologic, geomorphic, hydrogeological and topographic factors as causal variables. Both methods provided susceptibility maps with a significant predictive capability and a fairly good spatial agreement between each other. In conclusion, this application of data-driven spatial modelling approaches indicates that such methods can be effectively used for liquefaction susceptibility zonation at regional scale, which can be of significant support for spatial planning over large areas.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLanfredi, Sofia, C., Oliveira, Sérgio, Pereira, Susana, Zêzere, José, & Corsini, A. (2018). A comparison between bivariate and multivariate methods to assess susceptibility to liquefactionrelated coseismic surface effects in the Po Plain (Northern Italy). Geomatics, Natural Hazards and Risk, 9(1), 108-126. https://doi.org/10.1080/19475705.2017.1411401pt_PT
dc.identifier.doi10.1080/19475705.2017.1411401pt_PT
dc.identifier.issn1947-5705
dc.identifier.issn1947-5713
dc.identifier.urihttp://hdl.handle.net/10451/39038
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherTaylor & Francispt_PT
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1080/19475705.2017.1411401pt_PT
dc.subjectCoseismic surface effectspt_PT
dc.subjectLiquefactionpt_PT
dc.subjectSusceptibilitypt_PT
dc.subjectBivariate statistical methodspt_PT
dc.subjectEmilia seismic sequencept_PT
dc.subjectMultivariate statistical methodspt_PT
dc.titleA comparison between bivariate and multivariate methods to assess susceptibility to liquefaction-related coseismic surface effects in the Po Plain (Northern Italy)pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F85827%2F2012/PT
oaire.citation.endPage126pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage108pt_PT
oaire.citation.titleGeomatics, Natural Hazards and Riskpt_PT
oaire.citation.volume9pt_PT
oaire.fundingStreamSFRH
person.familyNameOliveira
person.familyNameda Silva Pereira
person.familyNameZêzere
person.givenNameSérgio
person.givenNameSusana
person.givenNameJosé Luís
person.identifierH-9956-2013
person.identifier.ciencia-id1B10-8CE2-1F13
person.identifier.ciencia-id2616-729A-B185
person.identifier.ciencia-id511D-EE6B-47E3
person.identifier.orcid0000-0003-0883-8564
person.identifier.orcid0000-0002-9674-0964
person.identifier.orcid0000-0002-3953-673X
person.identifier.ridM-8412-2016
person.identifier.scopus-author-id24779631800
person.identifier.scopus-author-id6507109389
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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