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...

Full description

Saved in:
Bibliographic Details
Published in:Mining and Metallurgy Engineering Bor 2020, Vol.2020 (3-4), p.9-24
Main Authors: Vušović, Nenad, Vlahović, Milica, Ljubojev, Milenko, Kržanović, Daniel
Format: Article
Language:English
Subjects:
gis
spatial analysis
stochastic prediction method
underground coal mining
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2334-8836
2406-1395
DOI:10.5937/mmeb2004009V