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Evaluation of vertical and horizontal movements in the subsidence depression near Karviná

Authors: Doležalová, H. (Hana); Kajzar, V. (Vlastimil); Souček, K. (Kamil); Staš, L. (Lubomír);

Evaluation of vertical and horizontal movements in the subsidence depression near Karviná

Abstract

An observation network was built to observe the process of creating of a subsidence depression above exploited coal mining panels near Karviná. Points of the observation network were periodically surveyed by geodetic GPS method from 2006 to 2009. This method enables the evaluation of both vertical subsidence and horizontal shifts. Such complex evaluation of processes on the surface of the undermined area makes it possible to understand the progress of the subsidence depression caused by undermining. The results have shown on areas of irregular development of the subsidence depression. The irregularities are caused by a complicated tectonic situation and former exploitation in given locality and also active exploitation in the surroundings of given locality.

Country
Czech Republic
Related Organizations
Keywords

GPS, horizontal shifts, subsidence depression

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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