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Modelling annual maxima of daily rainfall in Madeira Island

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dc.contributor.authorRéis, Délia Gouveia
dc.contributor.authorLopes, Luiz
dc.contributor.authorMendonça, Sandra
dc.date.accessioned2023-11-13T14:29:39Z
dc.date.available2023-11-13T14:29:39Z
dc.date.issued2013
dc.description.abstractMadeira Island is located in the Atlantic Ocean off the coast of Northwest Africa, between latitudes 32º30'N–33º30'N and longitudes 16º30'W–17º30'W. Extreme rainfall events have triggered a significant number of flash floods, landslides and debris flows in this volcanic island along its past and recent history. One of the most significant events was the one that happened on the 20th of February 2010, which caused 45 casualties, six missed people and extensive damage to properties and infrastructures. Madeira Island is therefore a natural laboratory for the study of extreme precipitation events and its consequences. In this study, tests based on the likelihood ratio statistic and the probability-weighted moments were used to test the hypothesis of a Gumbel distribution for the annual 1-day maximum rainfall data, from 19 rain gauge stations, provided by the Department of Hydraulics and Energy Technologies of the Madeira Regional Laboratory of Civil Engineering. The rainfall records, with 22, 23 and 31 years of extension, were drawn from rain gauge stations located in the northern and southern hillsides of the island. The estimates for the generalised extreme value distribution (GEV) obtained by the methods of maximum likelihood and probability-weighted moments revealed the influence of the proximity to the sea and altitude on the spatial distribution of extreme rainfall, in addition to the natural differences observed on the windward and lee sides of any mountainous island. Estimates for 50- and 100-year return levels were also obtained. The existence of trends in the parameters’ values was also analysed, revealing a significant evidence of a linear trend, both in location and scale parameters, for one location in the north side of the island.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/5373
dc.language.isoengpt_PT
dc.publisherForschungsinstitut Wasser und Umwelt (fwu) der Universität Siegenpt_PT
dc.relationSTATISTICAL MODELLING OF EXTREME RAINFALL IN MADEIRA ISLAND
dc.relationStrategic Project - UI 6 - 2011-2012
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectNatural hazardspt_PT
dc.subjectRainfallpt_PT
dc.subjectLandslidespt_PT
dc.subjectMadeira (Portugal)pt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleModelling annual maxima of daily rainfall in Madeira Islandpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleSTATISTICAL MODELLING OF EXTREME RAINFALL IN MADEIRA ISLAND
oaire.awardTitleStrategic Project - UI 6 - 2011-2012
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F39226%2F2007/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FMAT%2FUI0006%2F2011/PT
oaire.citation.endPage143pt_PT
oaire.citation.startPage136pt_PT
oaire.citation.titleEVAN 2013: Proceedings of the 1st International Short Conference on Advances in Extreme Value Analysis and Application to Natural Hazardspt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameGouveia Reis
person.familyNameGuerreiro Lopes
person.familyNameMendonça
person.givenNameDélia
person.givenNameLuiz Carlos
person.givenNameSandra
person.identifierB-4961-2016
person.identifier.ciencia-id4A18-1DCB-4862
person.identifier.ciencia-id5D1B-9015-416E
person.identifier.orcid0000-0002-5087-3120
person.identifier.orcid0000-0002-6145-8520
person.identifier.orcid0000-0003-3364-0357
person.identifier.scopus-author-id57015476900
person.identifier.scopus-author-id57205501523
person.identifier.scopus-author-id8525498600
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
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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