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Water Resources Management

Erschienen in:

01.07.2013

Regression Kriging Analysis for Longitudinal Dispersion Coefficient

verfasst von: Bulent Tutmez, Mehmet Yuceer

Erschienen in: Water Resources Management | Ausgabe 9/2013

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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.

Vorheriger Artikel Estimating Pumping Rates and Identifying Potential Recharge Zones for Groundwater Management in Multi-Aquifers System

Nächster Artikel Forecasting the Level of Reservoirs Using Multiple Input Fuzzification in ANFIS

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Titel: Regression Kriging Analysis for Longitudinal Dispersion Coefficient
verfasst von: Bulent Tutmez
Mehmet Yuceer
Publikationsdatum: 01.07.2013
Verlag: Springer Netherlands
Erschienen in: Water Resources Management / Ausgabe 9/2013
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-013-0348-6

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