Regression Kriging Analysis for Longitudinal Dispersion Coefficient

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dc.authoridYuceer, Mehmet/0000-0002-2648-3931
dc.authoridTutmez, Bulent/0000-0002-2618-3285
dc.authorwosidYuceer, Mehmet/E-5110-2012
dc.authorwosidTutmez, Bulent/ABG-8630-2020
dc.contributor.authorTutmez, Bulent
dc.contributor.authorYuceer, Mehmet
dc.date.accessioned2024-08-04T20:37:38Z
dc.date.available2024-08-04T20:37:38Z
dc.date.issued2013
dc.departmentİnönü Üniversitesien_US
dc.description.abstractPrediction of longitudinal dispersion coefficient (LDC) is still a novel topic for both environmental and water sciences due to its practical importance. In this study, the appraisal of LDC is considered as a spatial modelling problem and the analyses are carried out by regression kriging. Since LDC prediction includes some geometrical (spatial) parameters, the analyses have been performed such that it takes spatial variability of data into account. The modelling procedure consists of two stages. In the first stage, spatial variables are analyzed via multi-linear regression technique and deterministic relationships are identified. In the second stage, based on the spatial auto-correlations of the residuals, the regression-based kriging procedure is applied. The capacity and accuracy level of the method has been compared with former models. As a consequence, the applications revealed that analyzing hydraulic and geometrical parameters with spatially correlated errors is a convenient approach for evaluating LDC in a hydrological system.en_US
dc.identifier.doi10.1007/s11269-013-0348-6
dc.identifier.endpage3318en_US
dc.identifier.issn0920-4741
dc.identifier.issn1573-1650
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-84878749816en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage3307en_US
dc.identifier.urihttps://doi.org/10.1007/s11269-013-0348-6
dc.identifier.urihttps://hdl.handle.net/11616/96086
dc.identifier.volume27en_US
dc.identifier.wosWOS:000320035600007en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofWater Resources Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSpatial variabilityen_US
dc.subjectLongitudinal dispersion coefficienten_US
dc.subjectKriging. Hydraulic parameteren_US
dc.titleRegression Kriging Analysis for Longitudinal Dispersion Coefficienten_US
dc.typeArticleen_US

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