Logo do repositório
 
Publicação

Assessment of buildings exposure and potential losses to landslides based on census data

2020Documento de conferência Acesso aberto
Ver registo simples
dc.contributor.authorOliveira, Sérgio
dc.contributor.authorMelo, Raquel
dc.contributor.authorAlves, Carlos
dc.contributor.authorRocha, Jorge
dc.contributor.authorGarcia, Ricardo
dc.contributor.authorTavares, Alexandre
dc.contributor.authorZêzere, José
dc.contributor.authorPereira, Susana
dc.contributor.authorSantos, Pedro Pinto
dc.contributor.authorMorgado, Paulo
dc.contributor.authorMarques Da Costa, Nuno
dc.date.accessioned2020-06-15T16:40:33Z
dc.date.available2020-06-15T16:40:33Z
dc.date.issued2020
dc.description.abstractLandslides, like any natural hazardous process, do not generate risk until some type of interaction with human settlements or activities occur. Consequently, the landslide susceptibility assessment and the quantification of the exposure and potential losses of structures and infrastructures is crucial for informing emergency and spatial planning in areas prone to geomorphological hazards. Thus, the major aim of this work is to identify the current and future buildings’ exposure to landslides, in order to get useful information to support decision planners. The current spatial distribution of buildings and future exposure trends will be assessed based on the Portuguese Census data, which will be used as ancillary information to derive the number and type of buildings at the basic census polygonal unit. The future buildings’ exposure will be determined from a cellular automata simulation model. Four types of buildings are considered: E1 – light structures of wood or metal; E2 – buildings of adobe, rammed earth or loose stone walls; E3 - buildings with brick or stone masonry walls; and E4 - buildings of masonry walls confined with reinforced concrete. The evaluation of buildings’ exposure is made for two landslide event scenarios: one for shallow soil slips (with rupture surfaces depth < 1.5 m) and another one for deep-seated slides (with rupture surfaces depth > 1.5 m). The landslide susceptibility/hazard hotspots for both scenarios are assessed in a study area corresponding to four municipalities located in the northern sector of the Lisbon Metropolitan Area, Portugal. The landslide susceptibility models are based on a bivariate statistical method (Information Value) and on a dataset of eight independent variables assumed as predisposing factors for the occurrence of landslides: lithology, slope, curvature, aspect, slope/contribution area ratio, topographic position index (TPI), soil type and land use. The validation procedures include the computation of ROC curves and the calculation of AUROC. Landslide susceptibility and buildings’ exposure are presented as probabilities at the basic census unit scale. Results combine the probability of occurrence of a landslide with the probability of having a building of a certain type potentially affected by a landslide, for the two landslide event scenarios. Finally, potential losses on buildings are assessed from exposure and damage on buildings caused by landslides in the past.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationOliveira, S. C., Melo, R., Alves, C., Rocha, J., Garcia, R. A. C., Tavares, A. O., Zêzere, J. L., Pereira, S., Santos, P. P., Morgado, P., & Costa, N. (2020) Assessment of buildings exposure and potential losses to landslides based on census data. Geophysical Research Abstracts, EGU General Assembly 2020. https://doi.org/10.5194/egusphere-egu2020-18953pt_PT
dc.identifier.doi10.5194/egusphere-egu2020-18953pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/43822
dc.language.isoengpt_PT
dc.peerreviewednopt_PT
dc.publisherEuropean Geosciences Unionpt_PT
dc.relationLandslide Early Warning soft technology prototype to improve community resilience and adaptation to environmental change
dc.relationCentre of Geographical Studies
dc.relation.publisherversionhttps://meetingorganizer.copernicus.org/EGU2020/EGU2020-18953.htmlpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectLandslidespt_PT
dc.subjectBuildings exposurept_PT
dc.subjectPotential lossespt_PT
dc.subjectCensus datapt_PT
dc.titleAssessment of buildings exposure and potential losses to landslides based on census datapt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardNumberPTDC/GES-AMB/30052/2017
oaire.awardNumberUIDB/00295/2020
oaire.awardTitleLandslide Early Warning soft technology prototype to improve community resilience and adaptation to environmental change
oaire.awardTitleCentre of Geographical Studies
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FGES-AMB%2F30052%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00295%2F2020/PT
oaire.citation.titleEGU General Assembly 2020pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameOliveira
person.familyNameMelo
person.familyNameRocha
person.familyNameGarcia
person.familyNameZêzere
person.familyNameda Silva Pereira
person.familyNameSantos
person.familyNameMorgado
person.familyNameMarques da Costa
person.givenNameSérgio
person.givenNameRaquel
person.givenNameJorge
person.givenNameR.A.C.
person.givenNameJosé Luís
person.givenNameSusana
person.givenNamePedro Pinto
person.givenNamePaulo
person.givenNameNuno
person.identifier0000000069085031
person.identifierH-9956-2013
person.identifier1579929
person.identifier.ciencia-id1B10-8CE2-1F13
person.identifier.ciencia-idED1B-82B2-9E4F
person.identifier.ciencia-idEC15-76DC-9B96
person.identifier.ciencia-idBC12-77B6-7801
person.identifier.ciencia-id511D-EE6B-47E3
person.identifier.ciencia-id2616-729A-B185
person.identifier.ciencia-id6510-4FB9-6261
person.identifier.ciencia-idCD13-CD27-2ACD
person.identifier.orcid0000-0003-0883-8564
person.identifier.orcid0000-0002-8111-8777
person.identifier.orcid0000-0002-7228-6330
person.identifier.orcid0000-0002-1036-6271
person.identifier.orcid0000-0002-3953-673X
person.identifier.orcid0000-0002-9674-0964
person.identifier.orcid0000-0001-9785-0180
person.identifier.orcid0000-0002-3220-4943
person.identifier.orcid0000-0003-4859-9668
person.identifier.ridM-8412-2016
person.identifier.ridO-1282-2018
person.identifier.ridF-3185-2017
person.identifier.ridJ-8719-2013
person.identifier.ridD-7076-2014
person.identifier.ridJ-9673-2012
person.identifier.ridN-9118-2013
person.identifier.scopus-author-id24779631800
person.identifier.scopus-author-id54893395400
person.identifier.scopus-author-id56428061000
person.identifier.scopus-author-id55454646500
person.identifier.scopus-author-id6507109389
person.identifier.scopus-author-id56499523100
person.identifier.scopus-author-id36741880600
person.identifier.scopus-author-id56399055900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationeb79e9a4-db50-4237-8cfa-5ef7a22b243a
relation.isAuthorOfPublication7c3f329c-c213-4413-af8a-f3b51c503b4e
relation.isAuthorOfPublication9c7dabc1-d6c6-4636-9293-6babe2ba64c9
relation.isAuthorOfPublication3971b2ff-3bd6-4a99-8ea4-857883946ceb
relation.isAuthorOfPublicationa49d5ad5-533a-4973-b8c6-a4f201b1cf62
relation.isAuthorOfPublicationb6b6f0ca-9475-4f30-b89b-73b7fe10cda1
relation.isAuthorOfPublicationdd3ba412-bd7e-43d2-9b96-958985bd21f0
relation.isAuthorOfPublication12d81dbb-2bdd-4de0-bb04-7118e50cee36
relation.isAuthorOfPublicationfc07626d-2c16-4836-9525-05047de2bd3e
relation.isAuthorOfPublication.latestForDiscoverydd3ba412-bd7e-43d2-9b96-958985bd21f0
relation.isProjectOfPublication8cc3f417-8f5c-421b-96fd-e653a9271123
relation.isProjectOfPublicationce3a92fe-3617-47ea-9260-5d510cafa789
relation.isProjectOfPublication.latestForDiscovery8cc3f417-8f5c-421b-96fd-e653a9271123

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
Oliveira_etal_EGU2020.pdf
Tamanho:
293.22 KB
Formato:
Adobe Portable Document Format
Ver/Abrir

Coleções

IGOT - Comunicações