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Multivariate study of the interrelationships among selected variables of the organic fraction of samples of United States' coals

Thesis/Dissertation ·
OSTI ID:6289174
Multivariate statistical techniques have been used to study interrelationships among 12 variables within a data set for 277 coals representing whole-seam channel, column, and core samples obtained from the 6 coal provinces of the United States, and varying in rank from ligite to anthracite. The data are maintained in a computerized data base at the Pennsylvania State Universty Coal Research Section. The variables chosen are components of the elemental analysis, selected components of the proximate analysis (volatile matter and moisture), calorific value, reflectance of vitrinite, and the relative proportions of the 3 maceral groups. Cluster analyses indicated that the most significant partitioning produces 4 groups which are differentiated primarily on the basis of the followng factors: rank, maceral composition, and organic sulfur content. These 3 factors are the most important independent sources of variation for the entire data set and for these subsets. Factor analyses of these individual groups, of 5 classifications of coal grouped by ASTM rank, and of coals grouped by province provide insights into the coalification processes of these more homogeneous coal associations.
OSTI ID:
6289174
Country of Publication:
United States
Language:
English