Chiu Jill M Y, Degger Natalie, Leung Jonathan Y S, Po Beverly H K, Zheng Gene J, Richardson Bruce J, Lau T C, Wu Rudolf S S
Department of Biology, Hong Kong Baptist University, Hong Kong.
Centre for Marine Environmental Research and Innovative Technology and School of Biological Sciences, The University of Hong Kong, Hong Kong.
Mar Pollut Bull. 2016 Nov 15;112(1-2):53-57. doi: 10.1016/j.marpolbul.2016.08.043. Epub 2016 Aug 24.
The wide occurrence of endocrine disrupting chemicals (EDCs) and heavy metals in coastal waters has drawn global concern, and thus their removal efficiencies in sewage treatment processes should be estimated. However, low concentrations coupled with high temporal fluctuations of these pollutants present a monitoring challenge. Using semi-permeable membrane devices (SPMDs) and Artificial Mussels (AMs), this study investigates a novel approach to evaluating the removal efficiency of five EDCs and six heavy metals in primary treatment, secondary treatment and chemically enhanced primary treatment (CEPT) processes. In general, the small difference between maximum and minimum values of individual EDCs and heavy metals measured from influents/effluents of the same sewage treatment plant suggests that passive sampling devices can smooth and integrate temporal fluctuations, and therefore have the potential to serve as cost-effective monitoring devices for the estimation of the removal efficiencies of EDCs and heavy metals in sewage treatment works.
沿海海域内分泌干扰化学物质(EDCs)和重金属的广泛存在已引起全球关注,因此应评估它们在污水处理过程中的去除效率。然而,这些污染物的低浓度以及高时间波动带来了监测挑战。本研究使用半透膜装置(SPMDs)和人工贻贝(AMs),探究了一种评估初级处理、二级处理和化学强化初级处理(CEPT)过程中五种EDCs和六种重金属去除效率的新方法。总体而言,从同一污水处理厂的进水/出水中测得的单个EDCs和重金属的最大值与最小值之间差异较小,这表明被动采样装置可以平滑和整合时间波动,因此有潜力作为经济高效的监测装置,用于估算污水处理厂中EDCs和重金属的去除效率。