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2024, Geology, mining and mineral processing, pp. 199-202
GIS-based stochastic method for predicting mine subsidence
(The title is not available in English)
aUniverzitet u Beogradu, Tehnički fakultet u Boru, Srbija
bUniverzitet u Beogradu, Institut za hemiju, tehnologiju i metalurgiju - IHTM, Srbija

emailnvusovic@tfbor.bg.ac.rs, m.vlahovic@ihtm.bg.ac.rs
Project:
Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije (institucija: Univerzitet u Beogradu, Tehnički fakultet u Boru) (MPNTR - 451-03-68/2020-14/200131)
Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije (institucija: Univerzitet u Beogradu, Institut za hemiju, tehnologiju i metalurgiju - IHTM) (MPNTR - 451-03-68/2020-14/200026)

Keywords: mine subsidence; stochastic prediction method; GIS; spatial analysis
Abstract
(not available in English)
Subsidence and damage to structures above mining areas are unavoidable consequences of underground coal mining. This paper introduces a new mathematical model based on the stochastic Pataric-Stojanovic method for predicting subsidence. An original software package, MITSOUKO, was developed to perform these calculations, integrating spatial analysis within a Geographic Information System (GIS). The effectiveness of this approach is demonstrated through a case study at the "Rembas" underground coal mine in Resavica, Serbia.

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article language: engleski
document type: izvorni naučni članak
DOI: 10.5937/IOC24199V
published in Portal: 01.04.2025.
Creative Commons License 4.0

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