Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/87987
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Gonçalves, A. Manuela | por |
dc.contributor.author | Pereira, F. Catarina | por |
dc.contributor.author | Costa, Marco | por |
dc.contributor.author | Leão, Celina Pinto | por |
dc.date.accessioned | 2024-01-09T09:27:25Z | - |
dc.date.available | 2024-01-09T09:27:25Z | - |
dc.date.issued | 2023 | - |
dc.identifier.isbn | 978-3-031-09359-3 | por |
dc.identifier.issn | 2195-4356 | - |
dc.identifier.uri | https://hdl.handle.net/1822/87987 | - |
dc.description.abstract | Increasingly, reduction of water availability has been a reality, and population growth, pollution, and climate change have contributed to exacerbating this problem. Dry periods, which occur when precipitation is lower than expected in a given territory, have become more frequent and prolonged, and therefore it is crucial to efficiently manage water use in response to environmental concerns. The main challenge in this work is to present the irrigation problem as an optimal control problem along with the presentation of preliminary results based on an exploratory statistical and critical analysis of daily meteorological variables. The variables considered are: maximum air temperature, minimum air temperature, and total precipitation recorded during the last ten years (2010–2019). The methodology followed, based on state-space models, shows flexibility to allow the integration of new data, updating in real time the model, and the incorporation of covariates that are important to explain the process in analysis. | por |
dc.description.sponsorship | FCT - Fundação para a Ciência e a Tecnologia(UI/BD/150967/2021) | por |
dc.description.sponsorship | This research was partially supported by The Center for Research and Development in Mathematics and Applications (CIDMA) through the Portuguese Foundation for Science and Technology (FCT - Fundação para a Ciência e a Tecnologia), references UIDB/04106/2020 and UIDP/04106/2020. This research was partially financed by Portuguese funds through Portuguese Foundation for Science and Technology (“Fundação para a Ciência e a Tecnologia” - FCT), within the Projects UIDB/00013/2020 and UIDP/00013/2020 of CMAT-UM. This research was financed by national funds through FCT (Funda¸c˜ao para a Ciˆencia e a Tecnologia) through the individual PhD research grant UI/BD/150967/2021 of CMAT-UM. This work was also supported by the Portuguese Foundation for Science and Technology (FCT) in the framework of the Strategic Funding UID/FIS/04650/2019, UIDB/00013/2020 and UIDP/00013/2020 of CMAT-UM. The authors are granted for the access to the mete orological data provided by the Dire¸c˜ao Regional de Agricultura e Pescas do Norte. This work has been supported by FCT - Funda¸c˜ao para a Ciˆencia e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020. | por |
dc.language.iso | eng | por |
dc.publisher | Springer Nature | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00013%2F2020/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00013%2F2020/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04106%2F2020/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04106%2F2020/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FFIS%2F04650%2F2019/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00013%2F2020/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/OE/UI%2FBD%2F150967%2F2021/PT | por |
dc.rights | openAccess | por |
dc.subject | Exploratory data analysis | por |
dc.subject | Imputation | por |
dc.subject | Irrigation | por |
dc.subject | Meteorological variables | por |
dc.subject | Time series | por |
dc.title | Meteorological time series: an exploratory statistical and critical analysis | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-031-09360-9_17 | por |
sdum.event.type | conference | por |
oaire.citationStartPage | 197 | por |
oaire.citationEndPage | 208 | por |
dc.date.updated | 2024-01-02T16:33:03Z | - |
dc.identifier.doi | 10.1007/978-3-031-09360-9_17 | por |
dc.identifier.eisbn | 978-3-031-09360-9 | por |
sdum.export.identifier | 12975 | - |
sdum.journal | Lecture Notes in Mechanical Engineering | - |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2023 Meteorological Time Series- An Exploratory Statistical and Critical Analysis.pdf | 304,75 kB | Adobe PDF | Ver/Abrir |