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

Detalhes bibliográficos
Autor(a) principal: Manzione, Rodrigo Lilla [UNESP]
Data de Publicação: 2017
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/2318-0331.0318170071
http://hdl.handle.net/11449/164421
Resumo: Time 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.
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spelling Physical-based time series model applied on water table depths dynamics characteristics simulationModellingGroundwaterMonitoringPIRFICT modelTime 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.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Univ Estadual Paulista, Ourinhos, SP, BrazilUniv Estadual Paulista, Ourinhos, SP, BrazilFAPESP: 2014/04524-7FAPESP: 2016/09737-4Assoc Brasileira Recursos Hidricos-abrhUniversidade Estadual Paulista (Unesp)Manzione, Rodrigo Lilla [UNESP]2018-11-26T17:54:29Z2018-11-26T17:54:29Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article11application/pdfhttp://dx.doi.org/10.1590/2318-0331.0318170071Rbrh-revista Brasileira De Recursos Hidricos. Porte Alegre: Assoc Brasileira Recursos Hidricos-abrh, v. 23, 11 p., 2017.1414-381Xhttp://hdl.handle.net/11449/16442110.1590/2318-0331.0318170071S2318-03312018000100224WOS:000438515500007S2318-03312018000100224.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRbrh-revista Brasileira De Recursos Hidricosinfo:eu-repo/semantics/openAccess2024-06-26T20:10:56Zoai:repositorio.unesp.br:11449/164421Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:35:01.592839Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Physical-based time series model applied on water table depths dynamics characteristics simulation
title Physical-based time series model applied on water table depths dynamics characteristics simulation
spellingShingle Physical-based time series model applied on water table depths dynamics characteristics simulation
Manzione, Rodrigo Lilla [UNESP]
Modelling
Groundwater
Monitoring
PIRFICT model
title_short Physical-based time series model applied on water table depths dynamics characteristics simulation
title_full Physical-based time series model applied on water table depths dynamics characteristics simulation
title_fullStr Physical-based time series model applied on water table depths dynamics characteristics simulation
title_full_unstemmed Physical-based time series model applied on water table depths dynamics characteristics simulation
title_sort Physical-based time series model applied on water table depths dynamics characteristics simulation
author Manzione, Rodrigo Lilla [UNESP]
author_facet Manzione, Rodrigo Lilla [UNESP]
author_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Manzione, Rodrigo Lilla [UNESP]
dc.subject.por.fl_str_mv Modelling
Groundwater
Monitoring
PIRFICT model
topic Modelling
Groundwater
Monitoring
PIRFICT model
description Time 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
2018-11-26T17:54:29Z
2018-11-26T17:54:29Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1590/2318-0331.0318170071
Rbrh-revista Brasileira De Recursos Hidricos. Porte Alegre: Assoc Brasileira Recursos Hidricos-abrh, v. 23, 11 p., 2017.
1414-381X
http://hdl.handle.net/11449/164421
10.1590/2318-0331.0318170071
S2318-03312018000100224
WOS:000438515500007
S2318-03312018000100224.pdf
url http://dx.doi.org/10.1590/2318-0331.0318170071
http://hdl.handle.net/11449/164421
identifier_str_mv Rbrh-revista Brasileira De Recursos Hidricos. Porte Alegre: Assoc Brasileira Recursos Hidricos-abrh, v. 23, 11 p., 2017.
1414-381X
10.1590/2318-0331.0318170071
S2318-03312018000100224
WOS:000438515500007
S2318-03312018000100224.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Rbrh-revista Brasileira De Recursos Hidricos
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 11
application/pdf
dc.publisher.none.fl_str_mv Assoc Brasileira Recursos Hidricos-abrh
publisher.none.fl_str_mv Assoc Brasileira Recursos Hidricos-abrh
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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