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Stochastic method for prediction of subsidence due to the underground coal mining integrated with GIS, a case study in Serbia
- Source :
- Environmental Earth Sciences
- Publication Year :
- 2021
- Publisher :
- Springer Nature Switzerland AG, 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.
- Subjects :
- Geographic information system
0208 environmental biotechnology
Soil Science
Terrain
Stochastic prediction method
02 engineering and technology
010501 environmental sciences
01 natural sciences
Mining engineering
Environmental engineering science
Environmental Chemistry
Biogeosciences
0105 earth and related environmental sciences
Earth-Surface Processes
Water Science and Technology
Mine subsidence
Global and Planetary Change
business.industry
Coal mining
Spatial analysis
Geology
Subsidence
GIS
Pollution
020801 environmental engineering
business
Underground coal mining
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Environmental Earth Sciences
- Accession number :
- edsair.doi.dedup.....4cf711c6c4578b2aec32e157867a4f64