Problems in the fingerprints based polycyclic aromatic hydrocarbons source apportionment analysis and a practical solution

• Published in: Environmental pollution (1987) Vol. 205; pp. 394 - 402
• Main Authors: Zou, Yonghong, Wang, Lixia, Christensen, Erik R.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.10.2015
• Subjects: Bayes Theorem; Bayesian; Bayesian analysis; Combustion; Environmental Monitoring - methods; Fingerprints; Freshwater; Geologic Sediments - analysis; Geologic Sediments - chemistry; Illinois; Models, Theoretical; Pollution sources; Polyallylamine hydrochloride; Polycyclic aromatic hydrocarbons; Polycyclic aromatic hydrocarbons (PAHs); Polycyclic Aromatic Hydrocarbons - analysis; Positive matrix factorization (PMF); Principal Component Analysis; Principal component analysis (PCA); Rivers; Rivers - chemistry; Sediments; Source apportionment analysis; Water Pollutants, Chemical - analysis; USA, Arkansas, Illinois R; Positive matrix factorization (PMF); Polycyclic aromatic hydrocarbons (PAHs); Fingerprints; Source apportionment analysis; Principal component analysis (PCA); Bayesian

This work intended to explain the challenges of the fingerprints based source apportionment method for polycyclic aromatic hydrocarbons (PAH) in the aquatic environment, and to illustrate a practical and robust solution. The PAH data detected in the sediment cores from the Illinois River provide the...