Literature DB >> 30677877

Evaluation of combined sewer overflow impacts on short-term pharmaceutical and illicit drug occurrence in a heavily urbanised tidal river catchment (London, UK).

Kelly Munro1, Claudia P B Martins2, Matthew Loewenthal3, Sean Comber4, David A Cowan1, Luisa Pereira5, Leon P Barron6.   

Abstract

The occurrence of pharmaceutical and illicit drug residues potentially arising from combined sewer overflows (CSOs) in the Central London portion of the Thames Estuary is presented. Approximately 39 million tonnes of untreated sewage enter the River Thames at 57 CSO points annually. Differential analysis of influents and effluents in a major wastewater treatment plant identified seven potential drug-related CSO markers based on removal rates. Three were present in influent at concentrations >1 μg L-1 (caffeine, cocaine and benzoylecgonine). During dry weather, analysis of hourly samples of river water revealed relatively consistent concentrations for most drugs, including CSO markers, over a tidal cycle. River water was monitored over a week in January and July and then daily across six consecutive weeks in November/December 2014. Out of 31 compounds monitored, 27 drug residues were determined in the River Thames and, combined, ranged between ~1000-3500 ng L-1. Total drug concentration generally declined during extended periods of drier weather. For CSO markers, short-term increases in caffeine, cocaine and benzoylecgonine concentration were observed ~24 h after CSO events (especially those occurring at low tide) and generally within one order of magnitude. Timings of elevated occurrence also correlated well with ammonium ion and dissolved oxygen data following CSOs. This work also represents an important study of pharmaceutical occurrence before a major 'Super Sewer' infrastructure upgrade in London aiming to reduce CSOs by 95%.
Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CSOs; Emerging contaminants; High resolution mass spectrometry; River water monitoring

Mesh:

Substances:

Year:  2018        PMID: 30677877     DOI: 10.1016/j.scitotenv.2018.12.108

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Machine learning approach towards explaining water quality dynamics in an urbanised river.

Authors:  Benjamin Schäfer; Christian Beck; Hefin Rhys; Helena Soteriou; Paul Jennings; Allen Beechey; Catherine M Heppell
Journal:  Sci Rep       Date:  2022-07-19       Impact factor: 4.996

Review 2.  A review of combined sewer overflows as a source of wastewater-derived emerging contaminants in the environment and their management.

Authors:  Bruce Petrie
Journal:  Environ Sci Pollut Res Int       Date:  2021-04-29       Impact factor: 4.223

3.  Multicompartment and cross-species monitoring of contaminants of emerging concern in an estuarine habitat.

Authors:  Thomas H Miller; Keng Tiong Ng; Aaron Lamphiere; Tom C Cameron; Nicolas R Bury; Leon P Barron
Journal:  Environ Pollut       Date:  2020-12-13       Impact factor: 8.071

4.  High-throughput multi-residue quantification of contaminants of emerging concern in wastewaters enabled using direct injection liquid chromatography-tandem mass spectrometry.

Authors:  Keng Tiong Ng; Helena Rapp-Wright; Melanie Egli; Alicia Hartmann; Joshua C Steele; Juan Eduardo Sosa-Hernández; Elda M Melchor-Martínez; Matthew Jacobs; Blánaid White; Fiona Regan; Roberto Parra-Saldivar; Lewis Couchman; Rolf U Halden; Leon P Barron
Journal:  J Hazard Mater       Date:  2020-05-24       Impact factor: 10.588

5.  Biomonitoring of pesticides, pharmaceuticals and illicit drugs in a freshwater invertebrate to estimate toxic or effect pressure.

Authors:  Thomas H Miller; Keng Tiong Ng; Samuel T Bury; Sophie E Bury; Nicolas R Bury; Leon P Barron
Journal:  Environ Int       Date:  2019-05-01       Impact factor: 13.352

  5 in total

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