Average course approximation of measured subsidence and inclinations of mining area by smooth splines
The results of marking average courses of subsidence measured on the points of measuring line no. 1 of the “Budryk” Hard Coal Mine, set approximately perpendicularly to a face run of four consecutively mined longwalls in coal bed 338/2 have been presented in the article. Smooth splines were used to...
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Central Mining Institute (Główny Instytut Górnictwa)
2017-01-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2300396017300022 |
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doaj-24d348124b8348eeab4569c73a186b612020-12-02T01:41:00ZengCentral Mining Institute (Główny Instytut Górnictwa)Journal of Sustainable Mining2300-39602017-01-0116181310.1016/j.jsm.2017.06.001Average course approximation of measured subsidence and inclinations of mining area by smooth splinesJustyna OrwatRyszard MielimąkaThe results of marking average courses of subsidence measured on the points of measuring line no. 1 of the “Budryk” Hard Coal Mine, set approximately perpendicularly to a face run of four consecutively mined longwalls in coal bed 338/2 have been presented in the article. Smooth splines were used to approximate the average course of measured subsidence after subsequent exploitation stages. The minimising of the sum of the squared differences between the average and forecasted subsidence, using J. Bialek's formula, was used as a selection criterion of parameter values of smoothing an approximating function. The parameter values of this formula have been chosen in order to match forecasted subsidence with measured ones. The average values of inclinations have been calculated on the basis of approximated values of observed subsidence. It has been shown that by doing this the average values of extreme measured inclinations can be obtained in almost the same way as extreme observed inclinations. It is not necessary to divide the whole profile of a subsidence basin into parts. The obtained values of variability coefficients of a random scattering for subsidence and inclinations are smaller than their values which occur in the literature.http://www.sciencedirect.com/science/article/pii/S2300396017300022Impact of underground miningSubsidenceInclinationsRandom scattering (fluctuation)Least square approximationSmooth spline |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Justyna Orwat Ryszard Mielimąka |
spellingShingle |
Justyna Orwat Ryszard Mielimąka Average course approximation of measured subsidence and inclinations of mining area by smooth splines Journal of Sustainable Mining Impact of underground mining Subsidence Inclinations Random scattering (fluctuation) Least square approximation Smooth spline |
author_facet |
Justyna Orwat Ryszard Mielimąka |
author_sort |
Justyna Orwat |
title |
Average course approximation of measured subsidence and inclinations of mining area by smooth splines |
title_short |
Average course approximation of measured subsidence and inclinations of mining area by smooth splines |
title_full |
Average course approximation of measured subsidence and inclinations of mining area by smooth splines |
title_fullStr |
Average course approximation of measured subsidence and inclinations of mining area by smooth splines |
title_full_unstemmed |
Average course approximation of measured subsidence and inclinations of mining area by smooth splines |
title_sort |
average course approximation of measured subsidence and inclinations of mining area by smooth splines |
publisher |
Central Mining Institute (Główny Instytut Górnictwa) |
series |
Journal of Sustainable Mining |
issn |
2300-3960 |
publishDate |
2017-01-01 |
description |
The results of marking average courses of subsidence measured on the points of measuring line no. 1 of the “Budryk” Hard Coal Mine, set approximately perpendicularly to a face run of four consecutively mined longwalls in coal bed 338/2 have been presented in the article. Smooth splines were used to approximate the average course of measured subsidence after subsequent exploitation stages. The minimising of the sum of the squared differences between the average and forecasted subsidence, using J. Bialek's formula, was used as a selection criterion of parameter values of smoothing an approximating function. The parameter values of this formula have been chosen in order to match forecasted subsidence with measured ones. The average values of inclinations have been calculated on the basis of approximated values of observed subsidence. It has been shown that by doing this the average values of extreme measured inclinations can be obtained in almost the same way as extreme observed inclinations. It is not necessary to divide the whole profile of a subsidence basin into parts. The obtained values of variability coefficients of a random scattering for subsidence and inclinations are smaller than their values which occur in the literature. |
topic |
Impact of underground mining Subsidence Inclinations Random scattering (fluctuation) Least square approximation Smooth spline |
url |
http://www.sciencedirect.com/science/article/pii/S2300396017300022 |
work_keys_str_mv |
AT justynaorwat averagecourseapproximationofmeasuredsubsidenceandinclinationsofminingareabysmoothsplines AT ryszardmielimaka averagecourseapproximationofmeasuredsubsidenceandinclinationsofminingareabysmoothsplines |
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