Stochastic method for prediction of subsidence due to the underground coal mining integrated with GIS, a case study in Serbia
Само за регистроване кориснике
2021
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
Underground coal mining / Mine subsidence / Stochastic prediction method / GIS / Spatial analysisИзвор:
Environmental Earth Sciences, 2021, 80, 2, 67-Издавач:
- Springer Nature Switzerland AG
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200131 (Универзитет у Београду, Технички факултет у Бору) (RS-MESTD-inst-2020-200131)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200052 (Институт за рударство и металургију, Бор) (RS-MESTD-inst-2020-200052)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200026 (Универзитет у Београду, Институт за хемију, технологију и металургију - ИХТМ) (RS-MESTD-inst-2020-200026)
DOI: 10.1007/s12665-020-09349-w
ISSN: 1866-6280; 1866-6299
WoS: 000609817600004
Scopus: 2-s2.0-85099217093
Институција/група
IHTMTY - JOUR AU - Vušović, Nenad AU - Vlahović, Milica 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 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.,& 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 M, 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, 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 . .