期刊
ENVIRONMENTAL SCIENCE-WATER RESEARCH & TECHNOLOGY
卷 5, 期 2, 页码 315-324出版社
ROYAL SOC CHEMISTRY
DOI: 10.1039/c8ew00821c
关键词
-
资金
- Natural Sciences and Engineering Research Council of Canada (NSERC) Industrial Chair in Drinking Water Research at the University of Toronto
Application of real-time fluorescence excitation emission matrices (EEM) as a tool for water quality assessment was investigated. A bench-scale fluorescence system with on-line monitoring capabilities was used to quantify several polycyclic aromatic hydrocarbons (PAHs) and pesticides in surface waters of Ontario, Canada. Parallel factors analysis (PARAFAC), an unsupervised multi-way analysis approach, was compared to a supervised peak-picking approach. Both approaches produced sensitive regression models capable of predicting contaminant concentration with mean absolute errors (MAE) that ranged from 0.032 to 0.293 mu g L-1 for lake water, and 0.052 to 0.921 mu g L-1 for river water. In addition, results showed accurate detection of contaminant concentrations exceeding 0.25 mu g L-1. However, concentration and variability of natural organic matter (NOM) in natural waters presented unique challenges to peak-picking, PARAFAC, and regression analysis, which were mitigated by expert supervision as well as site-specific and timely calibration.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据