Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression

Descripción del Articulo

pp. 563-581
Detalles Bibliográficos
Autores: Ettinger, Susanne, Mounaud, Loïc, Magill, Christina R., Yao-Lafourcade, Anne-Françoise, Thouret, Jean-Claude, Manville, Vern, Negulescu, Caterina, Zuccaro, Giulio, De Gregorio, Daniela, Nardone, Stefano, Luque Uchuchoque, Juan Alexis, Arguedas, Anita, Macedo Franco, Luisa Diomira, Manrique Llerena, Nélida
Formato: artículo
Fecha de Publicación:2016
Institución:Instituto Geológico, Minero y Metalúrgico
Repositorio:INGEMMET-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ingemmet.gob.pe:20.500.12544/943
Enlace del recurso:https://hdl.handle.net/20.500.12544/943
https://doi.org/10.1016/j.jhydrol.2015.04.017
Nivel de acceso:acceso abierto
Materia:Inundaciones
Vulnerabilidad
Regresión logística
Riesgo hidrológico
id INGEMMET_09e6c43152b6b1291aaf44a234aab841
oai_identifier_str oai:repositorio.ingemmet.gob.pe:20.500.12544/943
network_acronym_str INGEMMET
network_name_str INGEMMET-Institucional
repository_id_str 2991
dc.title.es_PE.fl_str_mv Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression
title Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression
spellingShingle Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression
Ettinger, Susanne
Inundaciones
Vulnerabilidad
Regresión logística
Riesgo hidrológico
title_short Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression
title_full Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression
title_fullStr Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression
title_full_unstemmed Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression
title_sort Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression
author Ettinger, Susanne
author_facet Ettinger, Susanne
Mounaud, Loïc
Magill, Christina R.
Yao-Lafourcade, Anne-Françoise
Thouret, Jean-Claude
Manville, Vern
Negulescu, Caterina
Zuccaro, Giulio
De Gregorio, Daniela
Nardone, Stefano
Luque Uchuchoque, Juan Alexis
Arguedas, Anita
Macedo Franco, Luisa Diomira
Manrique Llerena, Nélida
author_role author
author2 Mounaud, Loïc
Magill, Christina R.
Yao-Lafourcade, Anne-Françoise
Thouret, Jean-Claude
Manville, Vern
Negulescu, Caterina
Zuccaro, Giulio
De Gregorio, Daniela
Nardone, Stefano
Luque Uchuchoque, Juan Alexis
Arguedas, Anita
Macedo Franco, Luisa Diomira
Manrique Llerena, Nélida
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ettinger, Susanne
Mounaud, Loïc
Magill, Christina R.
Yao-Lafourcade, Anne-Françoise
Thouret, Jean-Claude
Manville, Vern
Negulescu, Caterina
Zuccaro, Giulio
De Gregorio, Daniela
Nardone, Stefano
Luque Uchuchoque, Juan Alexis
Arguedas, Anita
Macedo Franco, Luisa Diomira
Manrique Llerena, Nélida
dc.subject.es_PE.fl_str_mv Inundaciones
Vulnerabilidad
Regresión logística
Riesgo hidrológico
topic Inundaciones
Vulnerabilidad
Regresión logística
Riesgo hidrológico
description pp. 563-581
publishDate 2016
dc.date.accessioned.none.fl_str_mv 2018-01-09T16:05:15Z
dc.date.available.none.fl_str_mv 2018-01-09T16:05:15Z
dc.date.issued.fl_str_mv 2016-10
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.es_PE.fl_str_mv Ettinger, S.; Mounaud, L.; Magill, C.; Yao-Lafourcade, A. F.; Thouret, J. C., et al. (2016) - Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression. Journal of Hydrology, 541, 563–581. Doi: 10.1016/j.jhydrol.2015.04.017
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12544/943
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.jhydrol.2015.04.017
dc.identifier.journal.es_PE.fl_str_mv Journal of Hydrology
dc.identifier.bibliographicCitation.es_PE.fl_str_mv Journal of Hydrology, vol. 541, 2016, pp. 563–581
identifier_str_mv Ettinger, S.; Mounaud, L.; Magill, C.; Yao-Lafourcade, A. F.; Thouret, J. C., et al. (2016) - Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression. Journal of Hydrology, 541, 563–581. Doi: 10.1016/j.jhydrol.2015.04.017
Journal of Hydrology
Journal of Hydrology, vol. 541, 2016, pp. 563–581
url https://hdl.handle.net/20.500.12544/943
https://doi.org/10.1016/j.jhydrol.2015.04.017
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:0022-1694
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.es_PE.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es
dc.format.es_PE.fl_str_mv application/pdf
dc.coverage.spatial.es_PE.fl_str_mv Arequipa
Perú
dc.publisher.es_PE.fl_str_mv Elsevier
dc.publisher.country.es_PE.fl_str_mv NL
dc.source.es_PE.fl_str_mv Instituto Geológico, Minero y Metalúrgico – INGEMMET
Repositorio Institucional INGEMMET
dc.source.none.fl_str_mv reponame:INGEMMET-Institucional
instname:Instituto Geológico, Minero y Metalúrgico
instacron:INGEMMET
instname_str Instituto Geológico, Minero y Metalúrgico
instacron_str INGEMMET
institution INGEMMET
reponame_str INGEMMET-Institucional
collection INGEMMET-Institucional
bitstream.url.fl_str_mv https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/943/2/license.txt
https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/943/5/Ettinger-Building_vulnerability_to_hydro-geomorphic_hazards-Version-OA.pdf.jpg
https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/943/4/Ettinger-Building_vulnerability_to_hydro-geomorphic_hazards-Version-OA.pdf.txt
https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/943/3/Ettinger-Building_vulnerability_to_hydro-geomorphic_hazards-Version-OA.pdf
bitstream.checksum.fl_str_mv ecccc10c448afdeacc04912e07a3ed65
7f804b064ccc741ef174bc3f44045bdb
db3e5738b67ffdeae4a16750004d39a0
c55f8dd0c9d03a4aa3085bc9c0768355
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional INGEMMET
repository.mail.fl_str_mv repositorio@ingemmet.gob.pe
_version_ 1815350294032154624
spelling Ettinger, SusanneMounaud, LoïcMagill, Christina R.Yao-Lafourcade, Anne-FrançoiseThouret, Jean-ClaudeManville, VernNegulescu, CaterinaZuccaro, GiulioDe Gregorio, DanielaNardone, StefanoLuque Uchuchoque, Juan AlexisArguedas, AnitaMacedo Franco, Luisa DiomiraManrique Llerena, NélidaArequipaPerú2018-01-09T16:05:15Z2018-01-09T16:05:15Z2016-10Ettinger, S.; Mounaud, L.; Magill, C.; Yao-Lafourcade, A. F.; Thouret, J. C., et al. (2016) - Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression. Journal of Hydrology, 541, 563–581. Doi: 10.1016/j.jhydrol.2015.04.017https://hdl.handle.net/20.500.12544/943https://doi.org/10.1016/j.jhydrol.2015.04.017Journal of HydrologyJournal of Hydrology, vol. 541, 2016, pp. 563–581pp. 563-581The focus of this study is an analysis of building vulnerability through investigating impacts from the 8 February 2013 flash flood event along the Avenida Venezuela channel in the city of Arequipa, Peru. On this day, 124.5 mm of rain fell within 3 h (monthly mean: 29.3 mm) triggering a flash flood that inundated at least 0.4 km2 of urban settlements along the channel, affecting more than 280 buildings, 23 of a total of 53 bridges (pedestrian, vehicle and railway), and leading to the partial collapse of sections of the main road, paralyzing central parts of the city for more than one week. This study assesses the aspects of building design and site specific environmental characteristics that render a building vulnerable by considering the example of a flash flood event in February 2013. A statistical methodology is developed that enables estimation of damage probability for buildings. The applied method uses observed inundation height as a hazard proxy in areas where more detailed hydrodynamic modeling data is not available. Building design and site-specific environmental conditions determine the physical vulnerability. The mathematical approach considers both physical vulnerability and hazard related parameters and helps to reduce uncertainty in the determination of descriptive parameters, parameter interdependency and respective contributions to damage. This study aims to (1) enable the estimation of damage probability for a certain hazard intensity, and (2) obtain data to visualize variations in damage susceptibility for buildings in flood prone areas. Data collection is based on a post-flood event field survey and the analysis of high (sub-metric) spatial resolution images (Pléiades 2012, 2013). An inventory of 30 city blocks was collated in a GIS database in order to estimate the physical vulnerability of buildings. As many as 1103 buildings were surveyed along the affected drainage and 898 buildings were included in the statistical analysis. Univariate and bivariate analyses were applied to better characterize each vulnerability parameter. Multiple corresponding analyses revealed strong relationships between the “Distance to channel or bridges”, “Structural building type”, “Building footprint” and the observed damage. Logistic regression enabled quantification of the contribution of each explanatory parameter to potential damage, and determination of the significant parameters that express the damage susceptibility of a building. The model was applied 200 times on different calibration and validation data sets in order to examine performance. Results show that 90% of these tests have a success rate of more than 67%. Probabilities (at building scale) of experiencing different damage levels during a future event similar to the 8 February 2013 flash flood are the major outcomes of this study.Peer reviewedapplication/pdfengElsevierNLurn:issn:0022-1694info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/deed.esInstituto Geológico, Minero y Metalúrgico – INGEMMETRepositorio Institucional INGEMMETreponame:INGEMMET-Institucionalinstname:Instituto Geológico, Minero y Metalúrgicoinstacron:INGEMMETInundacionesVulnerabilidadRegresión logísticaRiesgo hidrológicoBuilding vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regressioninfo:eu-repo/semantics/articleGeologíaLICENSElicense.txtlicense.txttext/plain; charset=utf-81567https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/943/2/license.txtecccc10c448afdeacc04912e07a3ed65MD52THUMBNAILEttinger-Building_vulnerability_to_hydro-geomorphic_hazards-Version-OA.pdf.jpgEttinger-Building_vulnerability_to_hydro-geomorphic_hazards-Version-OA.pdf.jpgGenerated Thumbnailimage/jpeg13405https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/943/5/Ettinger-Building_vulnerability_to_hydro-geomorphic_hazards-Version-OA.pdf.jpg7f804b064ccc741ef174bc3f44045bdbMD55TEXTEttinger-Building_vulnerability_to_hydro-geomorphic_hazards-Version-OA.pdf.txtEttinger-Building_vulnerability_to_hydro-geomorphic_hazards-Version-OA.pdf.txtExtracted texttext/plain99731https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/943/4/Ettinger-Building_vulnerability_to_hydro-geomorphic_hazards-Version-OA.pdf.txtdb3e5738b67ffdeae4a16750004d39a0MD54ORIGINALEttinger-Building_vulnerability_to_hydro-geomorphic_hazards-Version-OA.pdfEttinger-Building_vulnerability_to_hydro-geomorphic_hazards-Version-OA.pdfapplication/pdf2805796https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/943/3/Ettinger-Building_vulnerability_to_hydro-geomorphic_hazards-Version-OA.pdfc55f8dd0c9d03a4aa3085bc9c0768355MD5320.500.12544/943oai:repositorio.ingemmet.gob.pe:20.500.12544/9432019-05-06 13:01:34.447Repositorio Institucional INGEMMETrepositorio@ingemmet.gob.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
score 13.964134
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).