Repository logo
 
Publication

Assessing population exposure for landslide risk analysis using dasymetric cartography

dc.contributor.authorGarcia, Ricardo A C
dc.contributor.authorOliveira, Sérgio
dc.contributor.authorZêzere, José
dc.date.accessioned2017-06-21T09:51:30Z
dc.date.available2017-06-21T09:51:30Z
dc.date.issued2016
dc.description.abstractAssessing the number and locations of exposed people is a crucial step in landslide risk management and emergency planning. The available population statistical data frequently have insufficient detail for an accurate assessment of potentially exposed people to hazardous events, mainly when they occur at the local scale, such as with landslides. The present study aims to apply dasymetric cartography to improving population spatial resolution and to assess the potentially exposed population. An additional objective is to compare the results with those obtained with a more common approach that uses, as spatial units, basic census units, which are the best spatial data disaggregation and detailed information available for regional studies in Portugal. Considering the Portuguese census data and a layer of residential building footprint, which was used as ancillary information, the number of exposed inhabitants differs significantly according to the approach used. When the census unit approach is used, considering the three highest landslide susceptible classes, the number of exposed inhabitants is in general overestimated. Despite the associated uncertainties of a general cost–benefit analysis, the presented methodology seems to be a reliable approach for gaining a first approximation of a more detailed estimation of exposed people. The approach based on dasymetric cartography allows the spatial resolution of population over large areas to be increased and enables the use of detailed landslide susceptibility maps, which are valuable for improving the exposed population assessment.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGarcia, R. A. C., Oliveira, S. C., & Zêzere, J. L. (2016). Assessing population exposure for landslide risk analysis using dasymetric cartography. Nat. Hazards Earth Syst. Sci., 16(12), 2769–2782. https://doi.org/10.5194/nhess-16-2769-2016
dc.identifier.doi10.5194/nhess-16-2769-2016pt_PT
dc.identifier.issn1561-8633
dc.identifier.urihttp://hdl.handle.net/10451/28116
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCopernicus Publicationspt_PT
dc.subjectPopulation exposurept_PT
dc.subjectLandslidept_PT
dc.subjectRisk analysispt_PT
dc.subjectDasymetric cartographypt_PT
dc.titleAssessing population exposure for landslide risk analysis using dasymetric cartographypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage2782pt_PT
oaire.citation.issue12pt_PT
oaire.citation.startPage2769pt_PT
oaire.citation.titleNatural Hazards and Earth System Sciencespt_PT
oaire.citation.volume16pt_PT
person.familyNameGarcia
person.familyNameOliveira
person.familyNameZêzere
person.givenNameR.A.C.
person.givenNameSérgio
person.givenNameJosé Luís
person.identifierH-9956-2013
person.identifier.ciencia-idBC12-77B6-7801
person.identifier.ciencia-id1B10-8CE2-1F13
person.identifier.ciencia-id511D-EE6B-47E3
person.identifier.orcid0000-0002-1036-6271
person.identifier.orcid0000-0003-0883-8564
person.identifier.orcid0000-0002-3953-673X
person.identifier.ridJ-8719-2013
person.identifier.ridM-8412-2016
person.identifier.scopus-author-id55454646500
person.identifier.scopus-author-id24779631800
person.identifier.scopus-author-id6507109389
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication3971b2ff-3bd6-4a99-8ea4-857883946ceb
relation.isAuthorOfPublicationeb79e9a4-db50-4237-8cfa-5ef7a22b243a
relation.isAuthorOfPublicationa49d5ad5-533a-4973-b8c6-a4f201b1cf62
relation.isAuthorOfPublication.latestForDiscoverya49d5ad5-533a-4973-b8c6-a4f201b1cf62

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Garcia_Oliveira_Zezere_2016.pdf
Size:
6.14 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.2 KB
Format:
Item-specific license agreed upon to submission
Description: