Show simple item record

dc.contributor.authorManzione, Rodrigo L. [UNESP]
dc.contributor.authorWendland, Edson
dc.contributor.authorTanikawa, Diego H. [UNESP]
dc.date.accessioned2014-05-20T13:12:04Z
dc.date.available2014-05-20T13:12:04Z
dc.date.issued2012-11-01
dc.identifierhttp://dx.doi.org/10.1007/s10040-012-0885-8
dc.identifier.citationHydrogeology Journal. New York: Springer, v. 20, n. 7, p. 1239-1249, 2012.
dc.identifier.issn1431-2174
dc.identifier.urihttp://hdl.handle.net/11449/67
dc.description.abstractStochastic methods based on time-series modeling combined with geostatistics can be useful tools to describe the variability of water-table levels in time and space and to account for uncertainty. Monitoring water-level networks can give information about the dynamic of the aquifer domain in both dimensions. Time-series modeling is an elegant way to treat monitoring data without the complexity of physical mechanistic models. Time-series model predictions can be interpolated spatially, with the spatial differences in water-table dynamics determined by the spatial variation in the system properties and the temporal variation driven by the dynamics of the inputs into the system. An integration of stochastic methods is presented, based on time-series modeling and geostatistics as a framework to predict water levels for decision making in groundwater management and land-use planning. The methodology is applied in a case study in a Guarani Aquifer System (GAS) outcrop area located in the southeastern part of Brazil. Communication of results in a clear and understandable form, via simulated scenarios, is discussed as an alternative, when translating scientific knowledge into applications of stochastic hydrogeology in large aquifers with limited monitoring network coverage like the GAS.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent1239-1249
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofHydrogeology Journal
dc.sourceWeb of Science
dc.subjectGroundwater monitoringen
dc.subjectGeostatisticsen
dc.subjectStatistical modelingen
dc.subjectBrazilen
dc.titleStochastic simulation of time-series models combined with geostatistics to predict water-table scenarios in a Guarani Aquifer System outcrop area, Brazilen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.description.affiliationUNESP São Paulo State Univ, BR-19910206 Ourinhos, SP, Brazil
dc.description.affiliationUniv São Paulo, EESC Dept Hydraul & Sanit Engn, BR-13560970 São Carlos, SP, Brazil
dc.description.affiliationUnespUNESP São Paulo State Univ, BR-19910206 Ourinhos, SP, Brazil
dc.identifier.doi10.1007/s10040-012-0885-8
dc.identifier.wosWOS:000310233100003
dc.rights.accessRightsAcesso restrito
dc.description.sponsorshipIdFAPESP: 09/05204-8
dc.description.sponsorshipIdFAPESP: 10/14914-6
dc.description.sponsorshipIdFAPESP: 11/11484-3
unesp.campusUniversidade Estadual Paulista (Unesp), Câmpus Experimental de Ourinhospt
dc.relation.ispartofjcr2.071
dc.relation.ispartofsjr0,886
Localize o texto completo

Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record