Journals / Bilimsel Madencilik Dergisi / 2007 / Cilt: 46 - Sayı: 3

Statistical analysis of dust conditions at mechanized and conventional longwall faces in GLI underground mines

GLİ YERALTI OCAKLARINDA MEKANİZE VE KLASİK AYAKLARDA TOZ KOŞULLARININ İSTATİSTİKSEL ANALİZİ

Pages
3–8
Publication Date
2007-09-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, the dustiness of the longwall faces have been compared by using the statistical hypothesis test and finally, the dust conditions have been interpreted

📌 3 Key Takeaways

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Objective & Hypothesis:Dustiness is an important environmental problem that has to be considered in underground mines.
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Key Findings & Data:In this paper, the data obtained from the dust measurements carried out at mechanized and conventional longwall faces in GLI Tuncbilek- Omerler underground mines have been evaluated by using statistical analysis and the distribution models of the dust data have been determined.
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Conclusion & Impact:In addition, the dustiness of the longwall faces have been compared by using the statistical hypothesis test and finally, the dust conditions have been interpreted
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Toz · Yeraltı Madenciliği · Dust

Abstract

Dustiness is an important environmental problem that has to be considered in underground mines. In this paper, the data obtained from the dust measurements carried out at mechanized and conventional longwall faces in GLI Tuncbilek- Omerler underground mines have been evaluated by using statistical analysis and the distribution models of the dust data have been determined. In addition, the dustiness of the longwall faces have been compared by using the statistical hypothesis test and finally, the dust conditions have been interpreted

Özet

Tozluluk, yeraltı işletmelerinde üzerinde önemle durulması gereken çevresel bir problemdir. Bu çalışmada, GLİ Tunçbilek-Ömerler bölgesi yeraltı ocağında mekanize ve klasik ayaklarda yapılan toz ölçüm çalışmalarından elde edilen verilerin istatistiksel analizleri yapılmış ve ayaklardaki tozluluğun dağılım modelleri belirlenmiştir. Ayrıca ayaklardaki toz koşulları hipotez testleri kullanılarak karşılaştırılmış ve sonuç olarak, tozluluk koşulları yorumlanmıştır.

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Cite This Article

ÖNDER, M., ÖNDER, S., AKDAĞ, T. (2007). Statistical analysis of dust conditions at mechanized and conventional longwall faces in GLI underground mines. Bilimsel Madencilik Dergisi, Cilt: 46 - Sayı: 3, 3–8. https://ajindex.com/articles/58697

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