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Prediction of Subsidence Depression Development
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SYSNO ASEP 0476221 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Prediction of Subsidence Depression Development Author(s) Doležalová, Hana (UGN-S) RID
Kajzar, Vlastimil (UGN-S) RID, ORCIDNumber of authors 2 Source Title Systemy Wspomagania w Inżynierii Produkcji
Roč. 6, č. 4 (2017), s. 208-214Number of pages 350 s. Publication form Print - P Action Cross-border Exchange of Experience in Production Engineering Using Principles of Mathematics Event date 07.06.2017 - 09.06.2017 VEvent location Rybnik Country PL - Poland Event type EUR Language eng - English Country PL - Poland Keywords undermining ; prediction ; regression analysis Subject RIV DH - Mining, incl. Coal Mining OECD category Mining and mineral processing Institutional support UGN-S - RVO:68145535 Annotation An extensive network of points was repeatedly surveyed by GPS method to monitor the surface manifestations of undermining in the Louky locality near Karvina from 2006 to 2011. The aim was not only to record the development of the creating subsidence depression, its range, size of subsidence and horizontal shifts, but the task was also to predict the future state in the area. Such information is essential for planning surface reclamation and other uses of the undermined areas. Prediction of further development on the basis of GPS data and theoretical knowledge of the subsidence depression development was provided by regression analysis. Workplace Institute of Geonics Contact Lucie Gurková, lucie.gurkova@ugn.cas.cz, Tel.: 596 979 354 Year of Publishing 2018
Number of the records: 1