Publication
Modeling water level fluctuation in river basins using singular spectrum analysis
| datacite.subject.sdg | 04:Educação de Qualidade | pt_PT |
| datacite.subject.sdg | 06:Água Potável e Saneamento | pt_PT |
| dc.contributor.author | Oliveira, Amilcar | |
| dc.contributor.author | Sarmento, Carla | |
| dc.date.accessioned | 2024-12-13T13:52:36Z | |
| dc.date.available | 2024-12-13T13:52:36Z | |
| dc.date.issued | 2023 | |
| dc.description | LII International Biometrical Colloquium, realizado em Szamotuły, na Polónia, de 10-13 de setembro de 2023. | pt_PT |
| dc.description.abstract | Water scarcity affected 29% of the EU territory during at least one season in 2019. In the face of climate change, it is very important to understand the risk of water scarcity. Water scarcity is becoming a growing problem in southern European countries, such as Portugal. In 2019, Portugal, faced one of the most significant water scarcity conditions in the EU-27 on the seasonal scale (seasonal WEI 66%).The main objective of this work is to study the water level fluctuation in river basins, in order to predict the risks of lack of water. The study area is located in 29 reservoirs from different river basins in Portugal. The collected data refer to the period from November 1993 to August 2022, with a total number of records of 9686. We started by improving the quality of the data and built a monthly time series of the volume of water stored. Next, we analyzed the time series using Singular Spectrum Analysis (SSA), which is a nonparametric technique for analyzing time series. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.2/16947 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Polish Biometrical Society | pt_PT |
| dc.relation | Centre of Statistics and its Applications | |
| dc.relation.publisherversion | https://kzmi.up.lublin.pl/cb52/ab.pdf | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Risk | pt_PT |
| dc.subject | Singular spectrum analysis | pt_PT |
| dc.subject | Time series | pt_PT |
| dc.subject | Water scarcity | pt_PT |
| dc.title | Modeling water level fluctuation in river basins using singular spectrum analysis | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Centre of Statistics and its Applications | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00006%2F2020/PT | |
| oaire.citation.conferencePlace | Szamotuły, Polónia | pt_PT |
| oaire.citation.endPage | 30 | pt_PT |
| oaire.citation.startPage | 30 | pt_PT |
| oaire.citation.title | 52th International Biometrical Colloquium | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Oliveira | |
| person.givenName | Amilcar | |
| person.identifier.ciencia-id | 7110-61B4-B87F | |
| person.identifier.orcid | 0000-0001-5500-7742 | |
| person.identifier.scopus-author-id | 55675222550 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 1c873476-22fd-4331-8286-ff5576ac3b0c | |
| relation.isAuthorOfPublication.latestForDiscovery | 1c873476-22fd-4331-8286-ff5576ac3b0c | |
| relation.isProjectOfPublication | 200da949-b304-425e-8937-4221c1b2f32b | |
| relation.isProjectOfPublication.latestForDiscovery | 200da949-b304-425e-8937-4221c1b2f32b |