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A flood susceptibility model at the national scale based on multicriteria analysis

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dc.contributor.authorSantos, Pedro Pinto
dc.contributor.authorReis, Eusébio
dc.contributor.authorPereira, Susana
dc.contributor.authorSantos, Mónica
dc.date.accessioned2019-03-29T12:01:27Z
dc.date.available2021-02-23T01:30:18Z
dc.date.issued2019
dc.description.abstractRiver flooding is a specific worldwide type of flooding responsible for considerable human and material losses. An extensive knowledge about flood conditioning factors and a diverse set of methodologies for flood susceptibility evaluations are available, although there is still field for improvement regarding methodologies for small-scale flood susceptibility assessment, particularly relevant in data-scarce contexts. This research applied to mainland Portugal, introduces a multicriteria methodology to assess flood susceptibility at national scale considering three flood-conditioning factors: flow accumulation, average slope angle and average relative permeability. These three factors resume other factors usually considered in literature, related to morphology and potential runoff. This work includes data from the flood conditioning factors considering the cumulative role of the entire contributive area and not only the on-site characteristics. The weight of each factor was assigned based on expert opinion and validated using available flood damages databases with >150 years of records. From the several tested flood susceptibility models, the one that best fits the historical records was chosen, which corresponds also to a more valued role of flow accumulation factor. Results provide an accurate differentiation of transboundary, regional and local rivers. The scores of stream flood susceptibility were later transformed to a single value per each of the 278 municipalities of mainland Portugal. Representing the natural susceptibility to river flooding, these results can be cross-analyzed with structural mitigation measures, spatial planning instruments, exposure and vulnerability data along the respective floodplains, in order to identify water streams that require a more detailed and concerned future intervention and an exhaustive susceptibility study at the local scale.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSantos, P. P., Reis, E., Pereira, S., & Santos, M. (2019). A flood susceptibility model at the national scale based on multicriteria analysis. The Science of the total environment, 667, 325-337. Doi: 10.1016/j.scitotenv.2019.02.328pt_PT
dc.identifier.doi10.1016/j.scitotenv.2019.02.328pt_PT
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/10451/37747
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationPTDC/ATPGEO/1660/2014, UID/GEO/00295/2019pt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0048969719308368?via%3Dihubpt_PT
dc.subjectStream flood susceptibilitypt_PT
dc.subjectConditioning factorspt_PT
dc.subjectFlood databasespt_PT
dc.subjectFlood risk profilept_PT
dc.titleA flood susceptibility model at the national scale based on multicriteria analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage337pt_PT
oaire.citation.startPage325pt_PT
oaire.citation.titleScience ot The Total Environmentpt_PT
oaire.citation.volume667pt_PT
person.familyNameSantos
person.familyNameReis
person.familyNameda Silva Pereira
person.givenNamePedro Pinto
person.givenNameEusébio
person.givenNameSusana
person.identifier.ciencia-id8F1E-24ED-D262
person.identifier.ciencia-id2616-729A-B185
person.identifier.orcid0000-0001-9785-0180
person.identifier.orcid0000-0001-8367-1835
person.identifier.orcid0000-0002-9674-0964
person.identifier.ridD-7076-2014
person.identifier.ridM-8740-2016
person.identifier.scopus-author-id56499523100
person.identifier.scopus-author-id7103146725
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationdd3ba412-bd7e-43d2-9b96-958985bd21f0
relation.isAuthorOfPublicationb3c06bf6-1a8f-4071-b074-0feb3890c624
relation.isAuthorOfPublicationb6b6f0ca-9475-4f30-b89b-73b7fe10cda1
relation.isAuthorOfPublication.latestForDiscoveryb6b6f0ca-9475-4f30-b89b-73b7fe10cda1

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