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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Main Authors: Justyna Orwat, Ryszard Mielimąka
Format: Article
Language:English
Published: Central Mining Institute (Główny Instytut Górnictwa) 2017-01-01
Series:Journal of Sustainable Mining
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2300396017300022
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spelling 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
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