Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/6667
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dc.contributor.authorGonçalves, A. Manuelapt
dc.contributor.authorCosta, Marcopt
dc.date.accessioned2012-02-20T12:38:48Z-
dc.date.available2012-02-20T12:38:48Z-
dc.date.issued2011-09-
dc.identifier.issn0094-243X-
dc.identifier.urihttp://hdl.handle.net/10773/6667-
dc.description.abstractManyhydrologicalandecologicalstudiesrecognizetheimportanceofcharacterizingthetemporalandspatialvari- ability of precipitation. In this study, geostatistical methodologies were developed in order to estimate a hydro-meteorological factor by (re)building the space-time distribution of the precipitation associated to monthly averages in a certain hydrological river basin that will be used in the modelling of surface water quality. A hydro-meteorological factor is constructed for each water quality monitoring site (WQMS), based on the analysis of the space-time behaviour of the precipitation observed in an udometric network located in a Portuguese river basin.pt
dc.language.isoengpt
dc.publisherAmerican Institue of Physicspt
dc.rightsopenAccesspor
dc.subjectHydrological basinpt
dc.subjectWater qualitypt
dc.subjectArea rainfall estimationpt
dc.subjectKrigingpt
dc.subjectHydro-meteorological factorpt
dc.titleUsing udometric network data to estimate an environmental covariatept
dc.typeconferenceObjectpt
dc.peerreviewedyespt
ua.publicationstatuspublishedpt
ua.event.date19 - 25 setembro, 2011pt
ua.event.typeconferencept
degois.publication.firstPage1569pt
degois.publication.lastPage1572pt
degois.publication.locationHalkidikipt
degois.publication.titleICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics-
degois.publication.volume1389pt
dc.identifier.doi10.1063/1.3637929*
Appears in Collections:ESTGA - Comunicações

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