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Assessment of physical vulnerability of buildings and analysis of landslide risk at the municipal scale: application to the Loures municipality, Portugal

2016Journal article Open access
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dc.contributor.authorGuillard-Gonçalves, C.
dc.contributor.authorZêzere, José
dc.contributor.authorda Silva Pereira, Susana
dc.contributor.authorGarcia, Ricardo A C
dc.date.accessioned2017-06-21T11:49:10Z
dc.date.available2017-06-21T11:49:10Z
dc.date.issued2016
dc.description.abstractThis study offers a semi-quantitative assessment of the physical vulnerability of buildings to landslides in a Portuguese municipality (Loures), as well as the quantitative landslide risk analysis computed as the product of the landslide hazard by the vulnerability and the economic value of the buildings. The hazard was assessed by combining the spatiotemporal probability and the frequency–magnitude relationship of the landslides. The physical vulnerability assessment was based on an inquiry of a pool of European landslide experts and a sub-pool of landslide experts who know the study area, and the answers’ variability was assessed with standard deviation. The average vulnerability of the basic geographic entities was compared by changing the map unit and applying the vulnerability to all the buildings of a test site, the inventory of which was listed on the field. The economic value was calculated using an adaptation of the Portuguese Tax Services approach, and the risk was computed for different landslide magnitudes and different spatiotemporal probabilities. As a rule, the vulnerability values given by the sub-pool of experts who know the study area are higher than those given by the European experts, namely for the high-magnitude landslides. The obtained vulnerabilities vary from 0.2 to 1 as a function of the structural building types and the landslide magnitude, and are maximal for 10 and 20m landslide depths. However, the highest risk was found for the landslides that are 3m deep, because these landslides combine a relatively high frequency in the Loures municipality with a substantial potential damage.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGuillard-Gonçalves, C., Zêzere, J. L., Pereira, S., & Garcia, R. A. C. (2016). Assessment of physical vulnerability of buildings and analysis of landslide risk at the municipal scale: application to the Loures municipality, Portugal. Nat. Hazards Earth Syst. Sci., 16, 311-331. https://doi.org/10.5194/nhess-16-311-2016, 2016pt_PT
dc.identifier.doi10.5194/nhess-16-311-2016pt_PT
dc.identifier.issn1561-8633
dc.identifier.urihttp://hdl.handle.net/10451/28121
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCopernicus Publicationspt_PT
dc.subjectphysical vulnerability of buildingspt_PT
dc.subjectLandslidespt_PT
dc.subjectLourespt_PT
dc.subjectPortugalpt_PT
dc.titleAssessment of physical vulnerability of buildings and analysis of landslide risk at the municipal scale: application to the Loures municipality, Portugalpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage331pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage311pt_PT
oaire.citation.titleNatural Hazards and Earth System Sciencespt_PT
oaire.citation.volume16pt_PT
person.familyNameZêzere
person.familyNameda Silva Pereira
person.familyNameGarcia
person.givenNameJosé Luís
person.givenNameSusana
person.givenNameR.A.C.
person.identifierH-9956-2013
person.identifier.ciencia-id511D-EE6B-47E3
person.identifier.ciencia-id2616-729A-B185
person.identifier.ciencia-idBC12-77B6-7801
person.identifier.orcid0000-0002-3953-673X
person.identifier.orcid0000-0002-9674-0964
person.identifier.orcid0000-0002-1036-6271
person.identifier.ridJ-8719-2013
person.identifier.scopus-author-id6507109389
person.identifier.scopus-author-id55454646500
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationa49d5ad5-533a-4973-b8c6-a4f201b1cf62
relation.isAuthorOfPublicationb6b6f0ca-9475-4f30-b89b-73b7fe10cda1
relation.isAuthorOfPublication3971b2ff-3bd6-4a99-8ea4-857883946ceb
relation.isAuthorOfPublication.latestForDiscoveryb6b6f0ca-9475-4f30-b89b-73b7fe10cda1

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