Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries

Rais, Izhar Abadi Ibrahim (2012) Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries. PhD thesis, Universiti Sains Malaysia.

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Abstract

In this research, multivariate statistical techniques such as principal component analysis (PCA), reliability analysis (RA) and multivariate regression analysis (MRA) were applied for the development of new quarry dust model. These statistical techniques were employed to evaluate the variations and interpretation of large complex air quality data set of dust deposition surrounding quarry area, generated during 10 years (2000-2010) monitoring of 15 variables at 18 different quarry sites in Malaysia (5,610 observations).

Item Type:	Thesis (PhD)
Subjects:	T Technology > TN Mining Engineering. Metallurgy > TN1-997 Mining engineering. Metallurgy
Divisions:	Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraan Bahan & Sumber Mineral (School of Material & Mineral Resource Engineering) > Thesis
Depositing User:	Mr Aizat Asmawi Abdul Rahim
Date Deposited:	30 Jul 2024 06:09
Last Modified:	30 Jul 2024 06:09
URI:	http://eprints.usm.my/id/eprint/60874

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