Literature DB >> 20439114

Predicting accurate and ecologically relevant regional scale concentrations of triclosan in rivers for use in higher-tier aquatic risk assessments.

Oliver R Price1, Richard J Williams, Roger van Egmond, Mark J Wilkinson, Michael J Whelan.   

Abstract

Triclosan (TCS) is used in a range of domestic products and may reach aquatic environments after disposal "down-the-drain". Reach-specific TCS concentrations were predicted using the stochastic water quality model LF2000-WQX for two heavily urbanised regions in England, encompassing some of the most densely populated areas (including London and Birmingham). The model was calibrated using effluent TCS concentration data derived from a national monitoring programme which included 21 sewage treatment plants (STPs). The assessment represents a significant improvement on previous higher-tier modelling studies of TCS because it is applied to a much wider area compared with that hitherto evaluated. Initial results suggest that total TCS concentrations exceed a conservative Predicted No Effect Concentration of 69 ng L(-1) in <15% of river reaches. However, TCS is an ionisable compound with a pKa of about 8. In many rivers, a significant fraction of TCS will exist as the phenolate anion, which has much lower toxicity than neutral TCS. Concentrations of the neutral form of TCS were, therefore, calculated using measured data on river water pH. Predicted neutral concentrations in most river reaches were significantly lower than those for total TCS, often by >50%, reducing the associated risks. Further work is needed to better characterise the aquatic toxicity of TCS to fresh water organisms under a range of environmentally relevant conditions. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20439114     DOI: 10.1016/j.envint.2010.04.003

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  6 in total

1.  The use of multiple tracers for tracking wastewater discharges in freshwater systems.

Authors:  Mike Williams; Anupama Kumar; Christoph Ort; Michael G Lawrence; Adam Hambly; Stuart J Khan; Rai Kookana
Journal:  Environ Monit Assess       Date:  2013-06-01       Impact factor: 2.513

2.  The pH-dependent toxicity of triclosan to five aquatic organisms (Daphnia magna, Photobacterium phosphoreum, Danio rerio, Limnodrilus hoffmeisteri, and Carassius auratus).

Authors:  Chenguang Li; Ruijuan Qu; Jing Chen; Shuo Zhang; Ahmed A Allam; Jamaan Ajarem; Zunyao Wang
Journal:  Environ Sci Pollut Res Int       Date:  2018-01-23       Impact factor: 4.223

Review 3.  Occurrence and toxicity of antimicrobial triclosan and by-products in the environment.

Authors:  Gilles Bedoux; Benoit Roig; Olivier Thomas; Virginie Dupont; Barbara Le Bot
Journal:  Environ Sci Pollut Res Int       Date:  2011-11-05       Impact factor: 4.223

4.  Basin-scale emission and multimedia fate of triclosan in whole China.

Authors:  Qian-Qian Zhang; Guang-Guo Ying; Zhi-Feng Chen; Jian-Liang Zhao; You-Sheng Liu
Journal:  Environ Sci Pollut Res Int       Date:  2015-02-19       Impact factor: 4.223

5.  Geo-referenced simulation of pharmaceuticals in whole watersheds: application of GREAT-ER 4.1 in Germany.

Authors:  Volker Lämmchen; Gunnar Niebaum; Jürgen Berlekamp; Jörg Klasmeier
Journal:  Environ Sci Pollut Res Int       Date:  2021-01-07       Impact factor: 4.223

6.  Estimating and Predicting Metal Concentration Using Online Turbidity Values and Water Quality Models in Two Rivers of the Taihu Basin, Eastern China.

Authors:  Hong Yao; Wei Zhuang; Yu Qian; Bisheng Xia; Yang Yang; Xin Qian
Journal:  PLoS One       Date:  2016-03-30       Impact factor: 3.240

  6 in total

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