Estimating hydraulic parameters for the complex hydrodynamic models

Објеката

Тип
Рад у часопису
Верзија рада
објављена верзија
Језик
енглески
Креатор
Dušan Polomčić, Dragoljub Bajić, Jelena Ratković, Bojan Hajdin
Извор
Mining and Metallurgy Engineering Bor
Издавач
Centre for Evaluation in Education and Science (CEON/CEES)
Датум издавања
2018
Сажетак
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.
Број
3-4
почетак странице
29
крај странице
38
doi
10.5937/mmeb1704029P
issn
2334-8836
2406-1395
Subject
kalibracija, optimizacija, PEST, koeficijent filtracije
calibration, optimization, PEST, hydraulic conductivity
Шира категорија рада
M20
Ужа категорија рада
М24
Права
Отворени приступ
Лиценца
All rights reserved
Формат
.pdf
Медија
27.pdf

Dušan Polomčić, Dragoljub Bajić, Jelena Ratković, Bojan Hajdin. "Estimating hydraulic parameters for the complex hydrodynamic models" in Mining and Metallurgy Engineering Bor, Centre for Evaluation in Education and Science (CEON/CEES) (2018). https://doi.org/10.5937/mmeb1704029P

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