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2017, br. 3-4, str. 29-38
Estimating hydraulic parameters for the complex hydrodynamic models
(naslov ne postoji na srpskom)
Univerzitet u Beogradu, Rudarsko-geološki fakultet, Geološki odsek, Smer za hidrogeologiju

e-adresadusan.polomcic@rgf.bg.ac.rs, dragoljub.bajic@rgf.bg.ac.rs, jelena.mocevic@ rgf.bg.ac.rs, bojan.hajdin@ rgf.bg.ac.rs
Projekat:
Potencijal i podloge za održivo korišćenje podzemnih voda (MPNTR - 176022)
Unapređenje tehnologije površinske eksploatacije lignita u cilju povećanja energetske efikasnosti, sigurnosti i zaštite na radu (MPNTR - 33039)
Simultana bioremedijacija i soilifikacija degradiranih prostora, za očuvanje prirodnih resursa biološki aktivnih supstanci i razvoj i proizvodnju biomaterijala i dijetetskih proizvoda (MPNTR - 43004)

Sažetak
(ne postoji na srpskom)
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.
Reference
Bahremand, A., de Smedt, F. (2010) Predictive Analysis and Simulation Uncertainty of a Distributed Hydrological Model. Water Resources Management, 24(12): 2869-2880
Bajic, D., Polomcic, D., Papic, P., Stojkovic, J. (2013) Hydrodynamic model of the open-pit mine “Buvač” (Republic of Srpska). Journal of Sustainable Development of Energy, Water and Environment Systems, 1(3): 260-271
Bajić, D., Polomčić, D., Ratković, J. (2017) Multi-Criteria Decision Analysis for the Purposes of Groundwater Control System Design. Water Resources Management, 31(15): 4759-4784
Bezak, N., Rusjan, S., Petan, S., Sodnik, J., Mikoš, M. (2015) Estimation of soil loss by the WATEM/SEDEM model using an automatic parameter estimation procedure. Environmental Earth Sciences, 74(6): 5245-5261
Doherty, E.J., Hunt, J.R. (2010) Approaches to highly parameterized inversion: A guide to using PEST for groundwater-model calibration. u: Scientific Investigations Report 2010-5169, Reston, Virginia: U.S. Geological Survey
Doherty, E.J., Hunt, J.R., Tonkin, M.J. (2011) Approaches to highly parameterized inversion: A guide to using PEST for model-parameter and predictive-uncertainty analysis. u: Scientific Investigations Report 2010-5211, Reston, Virginia: U.S. Geological Survey
Doherty, J. (2013) Addendum to the PEST manual: Watermark numerical computing. pp. 1-294
Doherty, J. (2010) PEST: Model-independent parameter estimation. u: User Manual: Watermark Numerical Computing, pp. 1-336; 5th Edition
Harbaugh, A.W., Banta, E.R., Hill, M.C., Mcdonald, M.G. (2000) MODFLOW - 2000: The U.S. geological survey modular ground-water model: User guide to modularization concepts and the ground-water flow process. u: U.S. Geological Survey Open-File Report 00-92, Reston, VA, USA
Hayley, K., Schumacher, J., MacMillan, G. J., Boutin, L. C. (2014) Calibração altamente parametrizada de modelo com computação em nuvem: um exemplo de calibração do modelo de fluxo regional no nordeste de Alberta, Canadá. Hydrogeology Journal, 22(3): 729-737
Nocedal, J., Wright, J.S. (2006) Numerical Optimization. Berlin: Springer, 2nd Edition
Polomčić, D., Bajić, D., Ristić-Vakanjac, V., Ilić, Č.M. (2014) Automatic Calibration of Hydrodynamic Models Using PEST Program. Zapisnici Srpskog Geološkog Društva, pp. 13-27
Polomčić, D., Bajić, D., Ratković, J., Šubaranović, T., Ristić, V.V. (2017) Hydrodynamic model of the open-cast mine 'Tamnava - West Field' (Kolubara Coal Basin, Serbia)
Polomčić, D., Bajić, D. (2015) Application of Groundwater modeling for designing a dewatering system: Case study of the Buvač Open Cast Mine, Bosnia and Herzegovina. Geologia Croatica, 68(2): 123-137
Rapantova, N., Grmela, A., Vojtek, D., Halir, J., Michalek, B. (2007) Ground Water Flow Modelling Applications in Mining Hydrogeology. Mine Water and the Environment, 26(4): 264-270
Ratković, J., Polomčić, D., Bajić, D., Hajdin, B. (2016) A hydrogeological model of the open-cast mine Tamnava-West Field (Kolubara Coal Basin, Serbia). Podzemni radovi, br. 29, str. 43-54
Rumbaugh, J.O., Rumbaugh, D.B. (2011) Guide to using groundwater vistas: Version 6. New York: Environmental Simulations
Tonkin, M.J., Doherty, J. (2005) A hybrid regularized inversion methodology for highly parameterized environmental models. Water Resources Research, 41(10):
 

O članku

jezik rada: engleski
vrsta rada: članak
DOI: 10.5937/mmeb1704029P
objavljen u SCIndeksu: 05.04.2018.