Logo do repositório
 
Publicação

Improving Estuarine Flood Risk Knowledge through Documentary Data Using Multiple Correspondence Analysis

2022Artigo científico Acesso aberto
Ver registo simples
dc.contributor.authorRilo, Ana
dc.contributor.authorTavares, Alexandre Oliveira
dc.contributor.authorFreire, Paula
dc.contributor.authorZêzere, José Luís
dc.contributor.authorHaigh, Ivan D.
dc.date.accessioned2022-10-28T14:17:15Z
dc.date.available2022-10-28T14:17:15Z
dc.date.issued2022
dc.description.abstractEstuarine margins are usually heavily occupied areas that are commonly affected by compound flooding triggers originating from different sources (e.g., coastal, fluvial, and pluvial). Therefore, estuarine flood management remains a challenge due to the need to combine the distinct dimensions of flood triggers and damages. Past flood data are critical for improve our understanding of flood risks in these areas, while providing the basis for a preliminary flood risk assessment, as required by European Floods Directive. This paper presents a spin-off database of estuarine flood events built upon previously existing databases and a framework for working with qualitative past flood information using multiple correspondence analysis. The methodology is presented, with steps ranging from a spin-off database building process to information extraction techniques, and the statistical method used was further explored through the study of information acquired from the categories and their relation to the dimensions. This work enabled the extraction of the most relevant estuarine flood risk indicators and demonstrates the transversal importance of triggers, since they are of utmost importance for the characterization of estuarine flood risks. The results showed a relation between sets of triggers and damages that are related to estuarine margin land use, demonstrating their ability to inform flood risk management options. This work provides a consistent and coherent approach to use qualitative information on past floods, as a useful contribution in the context of scarce data, where measured and documentary data are not simultaneously availablept_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRilo, A.; Tavares, A.O.; Freire, P.; Zêzere, J.L.; Haigh, I.D. Improving Estuarine Flood Risk Knowledge through Documentary Data Using Multiple Correspondence Analysis. Water 2022, 14, 3161pt_PT
dc.identifier.doihttps://doi.org/10.3390/w14193161pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/25825
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.relationCentre of Geographical Studies
dc.relationCentre of Geographical Studies
dc.relationMulti-source flood risk analysis for safe coastal communities and sustainable development
dc.relationDesenvolvimento de um índice de vulnerabilidade para a avaliação do risco de inundação em estuários: uma abordagem integrada
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectestuariespt_PT
dc.subjectfloodspt_PT
dc.subjectdatabasept_PT
dc.subjecthistorical sourcespt_PT
dc.subjectflood risk managementpt_PT
dc.titleImproving Estuarine Flood Risk Knowledge through Documentary Data Using Multiple Correspondence Analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre of Geographical Studies
oaire.awardTitleCentre of Geographical Studies
oaire.awardTitleMulti-source flood risk analysis for safe coastal communities and sustainable development
oaire.awardTitleDesenvolvimento de um índice de vulnerabilidade para a avaliação do risco de inundação em estuários: uma abordagem integrada
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00295%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00295%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCTA-AMB%2F28909%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F111166%2F2015/PT
oaire.citation.titleWaterpt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
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
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublicationce3a92fe-3617-47ea-9260-5d510cafa789
relation.isProjectOfPublication0b403611-7396-429d-9c07-4f3dd8a81d98
relation.isProjectOfPublication44602f74-9176-451b-8c04-20c9eaf3c75f
relation.isProjectOfPublication2784c9b9-6c99-42c3-ae93-cd3d2585841a
relation.isProjectOfPublication.latestForDiscoveryce3a92fe-3617-47ea-9260-5d510cafa789

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
LEAF-water-14-03161-v2.pdf
Tamanho:
5.52 MB
Formato:
Adobe Portable Document Format
Ver/Abrir
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Ver/Abrir

Coleções

ISA - Artigos em Revistas Internacionais