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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Format: | Article |
Language: | English |
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Mining and Metallurgy Institute, Bor
2017-01-01
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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. |
first_indexed | 2024-04-24T14:08:48Z |
format | Article |
id | doaj.art-82bb3186ca864666a2cedaed6eb94b17 |
institution | Directory Open Access Journal |
issn | 2334-8836 2406-1395 |
language | English |
last_indexed | 2024-04-24T14:08:48Z |
publishDate | 2017-01-01 |
publisher | Mining and Metallurgy Institute, Bor |
record_format | Article |
series | Mining and Metallurgy Engineering Bor |
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 |