Estimating hydraulic parameters for the complex hydrodynamic models

Hydrodynamic models have usually been calibrated manually, by trial-and-error, with different values of hydraulic parameters and hydraulic characteristics of boundary conditions. This method of calibration and estimation of hydraulic parameters requires an extensive knowledge and experience of exper...

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Main Authors: Polomčić Dušan, Bajić Dragoljub, Ratković Jelena, Hajdin Bojan
Format: Article
Language:English
Published: Mining and Metallurgy Institute, Bor 2017-01-01
Series:Mining and Metallurgy Engineering Bor
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/2334-8836/2017/2334-88361704029P.pdf
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author Polomčić Dušan
Bajić Dragoljub
Ratković Jelena
Hajdin Bojan
author_facet Polomčić Dušan
Bajić Dragoljub
Ratković Jelena
Hajdin Bojan
author_sort Polomčić Dušan
collection DOAJ
description Hydrodynamic models have usually been calibrated manually, by trial-and-error, with different values of hydraulic parameters and hydraulic characteristics of boundary conditions. This method of calibration and estimation of hydraulic parameters requires an extensive knowledge and experience of experts, but whether the resulting solution includes an optimal set of parameters still remains an open question. An optimization method founded upon the Gauss-Marquardt-Levenberg algorithm, along with PEST software based on that algorithm, introduces automation of model calibration with regularization, which substantially reduces the effect of expert judgment on the result. The method also introduces the so-called 'pilot points', which transcend the concept of homogeneous zones with the values of hydraulic parameters of a hydrogeological system or zones with the specified boundary conditions. Mineral ore deposits are the most complex in geological and hydrogeological terms, so the lignite coal mine 'Tamnava - West Field' was selected as a good area to test the approach. Applying the proposed method, the spatial distributions of the horizontal (Kx=Ky) and vertical (Kz) components of hydraulic conductivity are determined in the study area.
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spelling doaj.art-82bb3186ca864666a2cedaed6eb94b172024-04-03T09:40:19ZengMining and Metallurgy Institute, BorMining and Metallurgy Engineering Bor2334-88362406-13952017-01-0120173-4293810.5937/mmeb1704029P2334-88361704029PEstimating hydraulic parameters for the complex hydrodynamic modelsPolomčić Dušan0https://orcid.org/0000-0002-7807-1285Bajić Dragoljub1https://orcid.org/0000-0002-4839-1093Ratković Jelena2Hajdin Bojan3University of Belgrade, Faculty of Mining and Geology, Department of Hydrogeology, Groundwater Modeling Center, SerbiaUniversity of Belgrade, Faculty of Mining and Geology, Department of Hydrogeology, Groundwater Modeling Center, SerbiaUniversity of Belgrade, Faculty of Mining and Geology, Department of Hydrogeology, Groundwater Modeling Center, SerbiaUniversity of Belgrade, Faculty of Mining and Geology, Department of Hydrogeology, Groundwater Modeling Center, SerbiaHydrodynamic models have usually been calibrated manually, by trial-and-error, with different values of hydraulic parameters and hydraulic characteristics of boundary conditions. This method of calibration and estimation of hydraulic parameters requires an extensive knowledge and experience of experts, but whether the resulting solution includes an optimal set of parameters still remains an open question. An optimization method founded upon the Gauss-Marquardt-Levenberg algorithm, along with PEST software based on that algorithm, introduces automation of model calibration with regularization, which substantially reduces the effect of expert judgment on the result. The method also introduces the so-called 'pilot points', which transcend the concept of homogeneous zones with the values of hydraulic parameters of a hydrogeological system or zones with the specified boundary conditions. Mineral ore deposits are the most complex in geological and hydrogeological terms, so the lignite coal mine 'Tamnava - West Field' was selected as a good area to test the approach. Applying the proposed method, the spatial distributions of the horizontal (Kx=Ky) and vertical (Kz) components of hydraulic conductivity are determined in the study area.https://scindeks-clanci.ceon.rs/data/pdf/2334-8836/2017/2334-88361704029P.pdfcalibrationoptimizationpesthydraulic conductivity
spellingShingle Polomčić Dušan
Bajić Dragoljub
Ratković Jelena
Hajdin Bojan
Estimating hydraulic parameters for the complex hydrodynamic models
Mining and Metallurgy Engineering Bor
calibration
optimization
pest
hydraulic conductivity
title Estimating hydraulic parameters for the complex hydrodynamic models
title_full Estimating hydraulic parameters for the complex hydrodynamic models
title_fullStr Estimating hydraulic parameters for the complex hydrodynamic models
title_full_unstemmed Estimating hydraulic parameters for the complex hydrodynamic models
title_short Estimating hydraulic parameters for the complex hydrodynamic models
title_sort estimating hydraulic parameters for the complex hydrodynamic models
topic calibration
optimization
pest
hydraulic conductivity
url https://scindeks-clanci.ceon.rs/data/pdf/2334-8836/2017/2334-88361704029P.pdf
work_keys_str_mv AT polomcicdusan estimatinghydraulicparametersforthecomplexhydrodynamicmodels
AT bajicdragoljub estimatinghydraulicparametersforthecomplexhydrodynamicmodels
AT ratkovicjelena estimatinghydraulicparametersforthecomplexhydrodynamicmodels
AT hajdinbojan estimatinghydraulicparametersforthecomplexhydrodynamicmodels