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Physical-based time series model applied on water table depths dynamics characteristics simulation

dc.contributor.authorManzione, Rodrigo Lilla [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T17:54:29Z
dc.date.available2018-11-26T17:54:29Z
dc.date.issued2017-01-01
dc.description.abstractTime series modelling applied to study water table depths monitoring data is an elegant way to model irregular and continuous data. When successive observations are dependent, future values may be predicted from past observations, and target parameters can be estimated. These may include expected values of groundwater levels, or probabilities that critical levels are exceeded at certain times or during certain periods. These target parameters are estimated with the purpose of obtaining characteristics of the development of a certain domain in time and such characteristics can, for instance, be extrapolated to future situations. In a system identification approach, is it possible to establish the dynamic relationship between water table perturbations and climatological events, vegetation, hydrogeological local conditions, management and groundwater abstraction. The aim of this work was demonstrate the use of a physical-based time series model to stablish the relationship between precipitation and water table depths from hydrogeological monitoring data. The results enabled to infer about water table dynamics even when it is affected by different climatological patterns, simulating mean, maximum and minimum states.en
dc.description.affiliationUniv Estadual Paulista, Ourinhos, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Ourinhos, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 2014/04524-7
dc.description.sponsorshipIdFAPESP: 2016/09737-4
dc.format.extent11
dc.identifierhttp://dx.doi.org/10.1590/2318-0331.0318170071
dc.identifier.citationRbrh-revista Brasileira De Recursos Hidricos. Porte Alegre: Assoc Brasileira Recursos Hidricos-abrh, v. 23, 11 p., 2017.
dc.identifier.doi10.1590/2318-0331.0318170071
dc.identifier.fileS2318-03312018000100224.pdf
dc.identifier.issn1414-381X
dc.identifier.scieloS2318-03312018000100224
dc.identifier.urihttp://hdl.handle.net/11449/164421
dc.identifier.wosWOS:000438515500007
dc.language.isoeng
dc.publisherAssoc Brasileira Recursos Hidricos-abrh
dc.relation.ispartofRbrh-revista Brasileira De Recursos Hidricos
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectModelling
dc.subjectGroundwater
dc.subjectMonitoring
dc.subjectPIRFICT model
dc.titlePhysical-based time series model applied on water table depths dynamics characteristics simulationen
dc.typeArtigo
dcterms.rightsHolderAssoc Brasileira Recursos Hidricos-abrh
dspace.entity.typePublication
unesp.departmentGeografia - FCTEpt

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