Abstract
The application of an established mathematical treatment useful for the characterization and identification of petroleum pollutions is described. Using discriminant analysis of relevant infrared spectrophotometric data, 99% of numerous known and unknown oil samples have been correctly characterized and identified. Unknown samples include weathered crude oils, heavy residual fuel oils, and asphalts, which were all correctly identified by systems chemical analysis and by other chemical analysis such as electron capture detection gas chromatography, flame ionization detection gas chromatography, metal analysis, etc.
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