RESEARCH ARTICLE Source Apportionment and Risk Assessment of Emerging Contaminants: An Approach of Pharmaco-Signature in Water Systems (original) (raw)

2016

Abstract

This paper presents a methodology based on multivariate data analysis for characterizing potential source contributions of emerging contaminants (ECs) detected in 26 river water samples across multi-scape regions during dry and wet seasons. Based on this methodolo-gy, we unveil an approach toward potential source contributions of ECs, a concept we refer to as the “Pharmaco-signature. ” Exploratory analysis of data points has been carried out by unsupervised pattern recognition (hierarchical cluster analysis, HCA) and receptor model (principal component analysis-multiple linear regression, PCA-MLR) in an attempt to dem-onstrate significant source contributions of ECs in different land-use zone. Robust cluster solutions grouped the database according to different EC profiles. PCA-MLR identified that 58.9 % of the mean summed ECs were contributed by domestic impact, 9.7 % by antibiotics application, and 31.4 % by drug abuse. Diclofenac, ibuprofen, codeine, ampicillin, tetracy-cline, an...

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