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Stochastic method for prediction of subsidence due to the underground coal mining integrated with GIS, a case study in Serbia

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2021
Authors
Vušović, Nenad
Vlahović, Milica M.
Kržanović, Daniel
Article (Published version)
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Abstract
The problem of subsidence and damages on buildings above mining works is an inevitable consequence of underground coal mining in large mining basins. Significant development of various methods for prediction of the displacement parameters of the undermined terrain took place in the period from the middle of the last to the beginning of this century. In this paper, a new mathematical model of the stochastic Pataric-Stojanovic method for the predictive subsidence calculation is developed. A case study, as an example for the practical application of the proposed stochastic method, is given for the underground coal mine “Rembas”- Resavica, Serbia. An original MITSOUKO program package, supported by spatial analyses in the Geographic Information System (GIS), was developed for the predictive subsidence calculation based on the stochastic method proposed by the authors Pataric and Stojanovic. The comparative analysis of predicted and measured subsidence values confirms the possibility... of using this stochastic method for predictive subsidence calculation in practice, which is a necessity of modern mining.

Keywords:
Underground coal mining / Mine subsidence / Stochastic prediction method / GIS / Spatial analysis
Source:
Environmental Earth Sciences, 2021, 80, 2, 67-
Publisher:
  • Springer Nature Switzerland AG
Funding / projects:
  • Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 200131 (University of Belgrade, Technical Faculty, Bor) (RS-200131)
  • Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 200052 (Mining and Metallurgy Institute, Bor) (RS-200052)
  • Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 200026 (University of Belgrade, Institute of Chemistry, Technology and Metallurgy - IChTM) (RS-200026)

DOI: 10.1007/s12665-020-09349-w

ISSN: 1866-6280; 1866-6299

WoS: 000609817600004

Scopus: 2-s2.0-85099217093
[ Google Scholar ]
3
1
URI
https://cer.ihtm.bg.ac.rs/handle/123456789/4245
Collections
  • Radovi istraživača / Researchers' publications
Institution/Community
IHTM
TY  - JOUR
AU  - Vušović, Nenad
AU  - Vlahović, Milica M.
AU  - Kržanović, Daniel
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4245
AB  - The problem of subsidence and damages on buildings above mining works is an inevitable consequence of underground coal
mining in large mining basins. Significant development of various methods for prediction of the displacement parameters of
the undermined terrain took place in the period from the middle of the last to the beginning of this century. In this paper, a
new mathematical model of the stochastic Pataric-Stojanovic method for the predictive subsidence calculation is developed.
A case study, as an example for the practical application of the proposed stochastic method, is given for the underground
coal mine “Rembas”- Resavica, Serbia. An original MITSOUKO program package, supported by spatial analyses in the
Geographic Information System (GIS), was developed for the predictive subsidence calculation based on the stochastic
method proposed by the authors Pataric and Stojanovic. The comparative analysis of predicted and measured subsidence
values confirms the possibility of using this stochastic method for predictive subsidence calculation in practice, which is a
necessity of modern mining.
PB  - Springer Nature Switzerland AG
T2  - Environmental Earth Sciences
T1  - Stochastic method for prediction of subsidence due to the underground coal mining integrated with GIS, a case study in Serbia
VL  - 80
IS  - 2
SP  - 67
DO  - 10.1007/s12665-020-09349-w
ER  - 
@article{
author = "Vušović, Nenad and Vlahović, Milica M. and Kržanović, Daniel",
year = "2021",
abstract = "The problem of subsidence and damages on buildings above mining works is an inevitable consequence of underground coal
mining in large mining basins. Significant development of various methods for prediction of the displacement parameters of
the undermined terrain took place in the period from the middle of the last to the beginning of this century. In this paper, a
new mathematical model of the stochastic Pataric-Stojanovic method for the predictive subsidence calculation is developed.
A case study, as an example for the practical application of the proposed stochastic method, is given for the underground
coal mine “Rembas”- Resavica, Serbia. An original MITSOUKO program package, supported by spatial analyses in the
Geographic Information System (GIS), was developed for the predictive subsidence calculation based on the stochastic
method proposed by the authors Pataric and Stojanovic. The comparative analysis of predicted and measured subsidence
values confirms the possibility of using this stochastic method for predictive subsidence calculation in practice, which is a
necessity of modern mining.",
publisher = "Springer Nature Switzerland AG",
journal = "Environmental Earth Sciences",
title = "Stochastic method for prediction of subsidence due to the underground coal mining integrated with GIS, a case study in Serbia",
volume = "80",
number = "2",
pages = "67",
doi = "10.1007/s12665-020-09349-w"
}
Vušović, N., Vlahović, M. M.,& Kržanović, D.. (2021). Stochastic method for prediction of subsidence due to the underground coal mining integrated with GIS, a case study in Serbia. in Environmental Earth Sciences
Springer Nature Switzerland AG., 80(2), 67.
https://doi.org/10.1007/s12665-020-09349-w
Vušović N, Vlahović MM, Kržanović D. Stochastic method for prediction of subsidence due to the underground coal mining integrated with GIS, a case study in Serbia. in Environmental Earth Sciences. 2021;80(2):67.
doi:10.1007/s12665-020-09349-w .
Vušović, Nenad, Vlahović, Milica M., Kržanović, Daniel, "Stochastic method for prediction of subsidence due to the underground coal mining integrated with GIS, a case study in Serbia" in Environmental Earth Sciences, 80, no. 2 (2021):67,
https://doi.org/10.1007/s12665-020-09349-w . .

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