Stochastic model and GIS spatial analysis of the coal mine subsidence
The occurrence of subsidence caused by the underground coal mining may be a complex process that causes damage to the environment. In the last century, there was a significant development in prediction methods for calculating the surface subsidence. In this paper, a new prediction method has been de...
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| Format: | Article |
| Language: | English |
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Mining and Metallurgy Institute, Bor
2020-01-01
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| Series: | Mining and Metallurgy Engineering Bor |
| Subjects: | |
| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/2334-8836/2020/2334-88362003009V.pdf |
| _version_ | 1797225397239152640 |
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| author | Vušović Nenad Vlahović Milica Ljubojev Milenko Kržanović Daniel |
| author_facet | Vušović Nenad Vlahović Milica Ljubojev Milenko Kržanović Daniel |
| author_sort | Vušović Nenad |
| collection | DOAJ |
| description | The occurrence of subsidence caused by the underground coal mining may be a complex process that causes damage to the environment. In the last century, there was a significant development in prediction methods for calculating the surface subsidence. In this paper, a new prediction method has been developed to calculate subsidence by combining a stochastic model of the ground movements and Geographical Information System (GIS). All the subsidence calculations are implemented by an original program package MITSOUKO, where the components of the GIS are used to fulfil the spatial analysis. This subsidence prediction technique has been applied to calculate the ground movements resulting from excavating 21 mining panels that are mined successively in the coal mine ''Rembas''-Resavica, Serbia. Details of movement were sequentially predicted and simulated in terms of years exploitation. Predictive calculation of the undermined terrain displacement parameters by the stochastic method and integration into the GIS is a powerful risk management tool. |
| first_indexed | 2024-04-24T14:08:22Z |
| format | Article |
| id | doaj.art-1463abbd87974d30b546219c61b4d940 |
| institution | Directory Open Access Journal |
| issn | 2334-8836 2406-1395 |
| language | English |
| last_indexed | 2024-04-24T14:08:22Z |
| publishDate | 2020-01-01 |
| publisher | Mining and Metallurgy Institute, Bor |
| record_format | Article |
| series | Mining and Metallurgy Engineering Bor |
| spelling | doaj.art-1463abbd87974d30b546219c61b4d9402024-04-03T09:41:44ZengMining and Metallurgy Institute, BorMining and Metallurgy Engineering Bor2334-88362406-13952020-01-0120203-492410.5937/mmeb2004009V2334-88362003009VStochastic model and GIS spatial analysis of the coal mine subsidenceVušović Nenad0https://orcid.org/0000-0001-5246-4243Vlahović Milica1https://orcid.org/0000-0002-7893-9101Ljubojev Milenko2Kržanović Daniel3https://orcid.org/0000-0003-3841-8667University of Belgrade, Technical Faculty in Bor, Bor, SerbiaUniversity of Belgrade, Institute of Chemistry, Technology and Metallurgy, Belgrade, SerbiaMining and Metallurgy Institute, Bor, SerbiaMining and Metallurgy Institute, Bor, SerbiaThe occurrence of subsidence caused by the underground coal mining may be a complex process that causes damage to the environment. In the last century, there was a significant development in prediction methods for calculating the surface subsidence. In this paper, a new prediction method has been developed to calculate subsidence by combining a stochastic model of the ground movements and Geographical Information System (GIS). All the subsidence calculations are implemented by an original program package MITSOUKO, where the components of the GIS are used to fulfil the spatial analysis. This subsidence prediction technique has been applied to calculate the ground movements resulting from excavating 21 mining panels that are mined successively in the coal mine ''Rembas''-Resavica, Serbia. Details of movement were sequentially predicted and simulated in terms of years exploitation. Predictive calculation of the undermined terrain displacement parameters by the stochastic method and integration into the GIS is a powerful risk management tool.https://scindeks-clanci.ceon.rs/data/pdf/2334-8836/2020/2334-88362003009V.pdfunderground coal miningstochastic prediction methodgisspatial analysis |
| spellingShingle | Vušović Nenad Vlahović Milica Ljubojev Milenko Kržanović Daniel Stochastic model and GIS spatial analysis of the coal mine subsidence Mining and Metallurgy Engineering Bor underground coal mining stochastic prediction method gis spatial analysis |
| title | Stochastic model and GIS spatial analysis of the coal mine subsidence |
| title_full | Stochastic model and GIS spatial analysis of the coal mine subsidence |
| title_fullStr | Stochastic model and GIS spatial analysis of the coal mine subsidence |
| title_full_unstemmed | Stochastic model and GIS spatial analysis of the coal mine subsidence |
| title_short | Stochastic model and GIS spatial analysis of the coal mine subsidence |
| title_sort | stochastic model and gis spatial analysis of the coal mine subsidence |
| topic | underground coal mining stochastic prediction method gis spatial analysis |
| url | https://scindeks-clanci.ceon.rs/data/pdf/2334-8836/2020/2334-88362003009V.pdf |
| work_keys_str_mv | AT vusovicnenad stochasticmodelandgisspatialanalysisofthecoalminesubsidence AT vlahovicmilica stochasticmodelandgisspatialanalysisofthecoalminesubsidence AT ljubojevmilenko stochasticmodelandgisspatialanalysisofthecoalminesubsidence AT krzanovicdaniel stochasticmodelandgisspatialanalysisofthecoalminesubsidence |