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Regression Kriging Analysis for Longitudinal Dispersion Coefficient

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Abstract

Prediction 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.

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Acknowledgments

The authors would like to extend their appreciation to anonymous reviewers and the Editor-in-Chief George P. Tsakiris for their constructive comments.

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Authors and Affiliations

  1. Department of Mining Engineering, Inonu University, 44280, Malatya, Turkey

    Bulent Tutmez

  2. Department of Chemical Engineering, Inonu University, 44280, Malatya, Turkey

    Mehmet Yuceer

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  1. Bulent Tutmez
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  2. Mehmet Yuceer
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Correspondence to Bulent Tutmez.

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Tutmez, B., Yuceer, M. Regression Kriging Analysis for Longitudinal Dispersion Coefficient. Water Resour Manage 27, 3307–3318 (2013). https://doi.org/10.1007/s11269-013-0348-6

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  • DOI: https://doi.org/10.1007/s11269-013-0348-6

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