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电导率和新兴污染物作为废水污染地表水的标志物。

Electrical conductivity and emerging contaminant as markers of surface freshwater contamination by wastewater.

机构信息

Laboratório de Biogeoquímica Ambiental (LBGqA), Núcleo de Diagnósticos e Intervenções Ambientais (NEDIA), Departamento de Química, Universidade Federal de São Carlos - UFSCar, Rodovia Washington Luís, km 235, SP-310, São Carlos 13.565-905, SP, Brazil.

Grupo de Quimiometria Aplicada (GQA), Departamento de Química, Universidade Federal de São Carlos - UFSCar, Rodovia Washington Luís, km 235, SP-310, São Carlos 13.565-905, SP, Brazil.

出版信息

Sci Total Environ. 2014 Jun 15;484:19-26. doi: 10.1016/j.scitotenv.2014.02.135. Epub 2014 Mar 28.

Abstract

The use of chemical markers of undoubted anthropogenic sources for surface freshwater contamination by wastewaters was evaluated employing correlations observed between measured physico-chemical parameters as the electrical conductivity and the concentration of different emerging organic compounds. During the period from April/2011 to April/2012 spatial-temporal variations and contamination patterns of two rivers (Piraí and Jundiaí rivers), São Paulo state, Brazil were evaluated. Seven physico-chemical parameters and concentrations of different classes of emerging contaminants were determined in samples collected in seven field campaigns. The high linear correlation coefficients obtained for the compounds diclofenac (r=0.9085), propanolol (r=0.8994), ibuprofen (r=0.8720) and atenolol (r=0.7811) with electrical conductivity, also corroborated by principal component analysis (PCA), point to the potential use of these compounds as markers of investigated surface water contamination by wastewaters. Due to specific inputs, these environmental markers showed very good effectiveness for the identification and differentiation of water body contamination by discharges of treated and untreated urban sewage.

摘要

利用废水中确实具有人为来源的化学标志物来评估地表水受废水污染的情况,方法是观察测量的物理化学参数(如电导率)与不同新兴有机化合物浓度之间的相关性。本研究对 2011 年 4 月至 2012 年 4 月期间巴西圣保罗州两条河流(皮拉伊河和容迪亚伊河)的时空变化和污染模式进行了评估。在七个野外考察中采集样本,测定了七种物理化学参数和不同类别的新兴污染物浓度。电导率与双氯芬酸(r=0.9085)、丙醇(r=0.8994)、布洛芬(r=0.8720)和阿替洛尔(r=0.7811)等化合物之间存在高度线性相关系数,主成分分析(PCA)也证实了这一点,这表明这些化合物具有作为研究地表水受废水污染的潜在标志物的潜力。由于特定的输入,这些环境标志物在识别和区分经处理和未经处理的城市污水排放对水体的污染方面非常有效。

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