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Landslide incidence in the North of Portugal: analysis of a historical landslide database based on press releases and technical reports

dc.contributor.authorPereira, Susana da Silva
dc.contributor.authorZêzere, José
dc.contributor.authorQuaresma, Ivânia Daniela
dc.contributor.authorBateira, Carlos
dc.date.accessioned2017-07-12T09:40:36Z
dc.date.available2017-07-12T09:40:36Z
dc.date.issued2014
dc.description.abstractThis work presents and explores the Northern Portugal Landslide Database (NPLD) for the period 1900–2010. NPLD was compiled from press releases (regional and local newspapers) and technical reports (reports by civil protection authorities and academic works); it includes 628 landslides, corresponding to 5.7 landslides per year on average. Although 50% of landslides occurred in the last 35 years of the series, the temporal distribution of landslides does not show any regular increase with time. The relationship between annual precipitation and landslide occurrence shows that reported landslides tend to be more frequent in wetter years. Moreover, landslides occur mostly in the wettest months of the year (December, January and February), which reflects the importance of rainfall in triggering slope instability. Most landslides cause damage that affects people and/or structures; 69.4% of the landslides in Northern Portugal caused 136 fatalities, 173 injured and left 460 persons homeless. More than half of the total landslides (321 landslides) led to railway or motorway closures and 49 landslides destroyed 126 buildings. The NPLD is comparedwith a landslide database for thewhole of Portugal constructed froma single daily national newspaper covering the samereference period. Itwill be demonstrated that the regional and local newspapers are more effective than the national newspaper in reporting damaging landslides in the North of Portugal. Like other documentary-based landslide inventories, the NPLD does not accurately report non-damaging landslides. Therefore, NPLD was found unsuitable to validate municipal-scale landslide susceptibility models derived from detailed geomorphology-based landslide inventories.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPereira, Susana da S., Zêzere, José, Quaresma, Ivânia Daniela & Bateira, Carlos. (2014). Landslide incidence in the North of Portugal: Analysis of a historical landslide database based on press releases and technical reports. Geomorphology, 214, 514-525. https://doi.org/10.1016/j.geomorph.2014.02.032. ISSN: 0169-555X
dc.identifier.doi10.1016/j.geomorph.2014.02.032pt_PT
dc.identifier.issn0169-555X
dc.identifier.issn1872-695X
dc.identifier.urihttp://hdl.handle.net/10451/28311
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.subjectLandslidespt_PT
dc.subjectHistorical inventorypt_PT
dc.subjectLandslide damagept_PT
dc.subjectDatabase reliabilitypt_PT
dc.subjectNorth of Portugalpt_PT
dc.titleLandslide incidence in the North of Portugal: analysis of a historical landslide database based on press releases and technical reportspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage525pt_PT
oaire.citation.startPage514pt_PT
oaire.citation.titleGeomorphologypt_PT
oaire.citation.volume214pt_PT
person.familyNameda Silva Pereira
person.familyNameZêzere
person.familyNameBateira
person.givenNameSusana
person.givenNameJosé Luís
person.givenNameCarlos
person.identifierH-9956-2013
person.identifier.ciencia-id2616-729A-B185
person.identifier.ciencia-id511D-EE6B-47E3
person.identifier.orcid0000-0002-9674-0964
person.identifier.orcid0000-0002-3953-673X
person.identifier.orcid0000-0002-5039-6053
person.identifier.scopus-author-id6507109389
person.identifier.scopus-author-id55191330600
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationb6b6f0ca-9475-4f30-b89b-73b7fe10cda1
relation.isAuthorOfPublicationa49d5ad5-533a-4973-b8c6-a4f201b1cf62
relation.isAuthorOfPublication1037a118-9741-4689-bc1d-5d737b28517c
relation.isAuthorOfPublication.latestForDiscovery1037a118-9741-4689-bc1d-5d737b28517c

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