Browsing by Subject "lignite parameters"
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Item type:Thesis, Access status: Restricted , Badanie anizotropii zmienności parametrów złoża węgla brunatnego Bełchatów w wytypowanym fragmencie Pola Szczerców(Data obrony: 2012-07-19) Jurek, Justyna
Wydział Geologii, Geofizyki i Ochrony ŚrodowiskaThe Bełchatów lignite deposit is located in the central part of Poland, in the tectonic Kleszczów graben. The aim of study has been description anisotropy variability of thickness and qualitative parameters: tonal sulphur content Std, ash content Ad, calorific value in the central part of the Pola Szczerców. The analysis includes statistical and geostatistical description of the variability of deposit parameters investigated.The analysis has shown, that on analyzed part of deposit the lignite has high sulfating and that variability of analyzed parameters is from low to high. Anisotropy researches indicated that variability of analysed parameters is in two basically different directions: W-E(direction of minimum variability), N-S(direction of maximum variability).Item type:Article, Access status: Open Access , Przyczynek do badań lokalnej, poziomej zmienności głównych parametrów jakości węgla brunatnego w centralnej części złoża Bełchatów. Analizy statystyczne(Wydawnictwa AGH, 2007) Bartuś, TomaszThe Bełchatów lignite deposit is located in the central part of Poland, in the tectonic Kleszczów graben. The theme of researches has been statistical analysis of local, horizontal variability selected depositional parameters from small area (8x8 m), located in the central part of the Bełchatów area. In the investigations was used statistical methods like descriptive statistics, distribution analysis, correlation and regression analysis. Results of the descriptive statistics of the main lignite qualitative parameters beyond little lower capacity of the total sulfur content parameter are contained in to limits which are published by the Bełchatów mine. The researches shows the statistical significance local, horizontal variability of ash and sulfur contents. Simple and multiple linear correlation and regression analysis acknowledge known from literature relations between moisture, ash content and calorific value.
