Publication
A dependence modelling study of extreme rainfall in Madeira Island
| dc.contributor.author | Gouveia-Reis, Délia | |
| dc.contributor.author | Lopes, Luiz Guerreiro | |
| dc.contributor.author | Mendonça, Sandra | |
| dc.date.accessioned | 2018-01-25T10:00:00Z | |
| dc.date.accessioned | 2018-01-30T16:39:34Z | |
| dc.date.available | 2018-01-25T10:00:00Z | |
| dc.date.available | 2018-01-30T16:39:34Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | The dependence between variables plays a central role in multivariate extremes. In this paper, spatial dependence of Madeira Island's rainfall data is addressed within an extreme value copula approach through an analysis of maximum annual data. The impact of altitude, slope orientation, distance between rain gauge stations and distance from the stations to the sea are investigated for two different periods of time. The results obtained highlight the influence of the island's complex topography on the spatial distribution of extreme rainfall in Madeira Island. | pt_PT |
| dc.description.sponsorship | The authors wish to thank the Portuguese Foundation for Science and Technology (FCT) for the financial support through the PhD grant SFRH/BD/39226/2007, financed by national funds of MCTES. They are also grateful to the Center of Statistics and Applications of the University of Lisbon (CEAUL) for the bibliographical and financial support through the FCT under the projects PEst- OE/MAT/UI0006/2011 and PEst-OE/MAT/UI0006/2014, and to the University of Madeira for the logistic support. The authors wish also to thank the Portuguese Institute for Sea and Atmosphere and namely to Dr. Victor Prior, and the Department of Hydraulics and Energy Technologies of the Madeira Regional Laboratory of Civil Engineering and namely to Dr. Carlos Magro, for providing the rainfall data used in this study. The second author also thanks the Brazilian agency CAPES for the partial financial support during his sabbatical leave | |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Falcão, Soraia I.; Tomás, Andreia; Freire, Cristina; Vilas-Boas, Miguel (2016). A voltammetric tool for the evaluation of propolis antioxidant activity. European Food Research and Technology. ISSN 1438-2377. 242, p. 1393-1401 | en_EN |
| dc.identifier.doi | 10.1016/j.pce.2015.11.006 | pt_PT |
| dc.identifier.issn | 1474-7065 | |
| dc.identifier.uri | http://hdl.handle.net/10198/15328 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | pt_PT |
| dc.relation | 0006/2011 | |
| dc.relation | STATISTICAL MODELLING OF EXTREME RAINFALL IN MADEIRA ISLAND | |
| dc.subject | Antioxidant capacity | en_EN |
| dc.subject | Cyclic voltammetry | en_EN |
| dc.subject | Differential pulse voltammetry | en_EN |
| dc.subject | Electrochemistry | en_EN |
| dc.subject | Propolis | en_EN |
| dc.title | A dependence modelling study of extreme rainfall in Madeira Island | en_EN |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | STATISTICAL MODELLING OF EXTREME RAINFALL IN MADEIRA ISLAND | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F39226%2F2007/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876/PEst-OE%2FMAT%2FUI0006%2F2014/PT | |
| oaire.fundingStream | 5876 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | en_EN |
| rcaap.type | article | pt_PT |
| relation.isProjectOfPublication | 5f19c063-1c12-434d-afc5-d3572000a440 | |
| relation.isProjectOfPublication | 3dcfb700-b29d-4d03-9b03-ce5415e55cd8 | |
| relation.isProjectOfPublication.latestForDiscovery | 3dcfb700-b29d-4d03-9b03-ce5415e55cd8 |