Literature DB >> 28861906

Aquatic exposures of chemical mixtures in urban environments: Approaches to impact assessment.

Dick de Zwart1, William Adams2, Malyka Galay Burgos3, Juliane Hollender4, Marion Junghans5, Graham Merrington6, Derek Muir7, Thomas Parkerton8, Karel A C De Schamphelaere9, Graham Whale10, Richard Williams11.   

Abstract

Urban regions of the world are expanding rapidly, placing additional stress on water resources. Urban water bodies serve many purposes, from washing and sources of drinking water to transport and conduits for storm drainage and effluent discharge. These water bodies receive chemical emissions arising from either single or multiple point sources, diffuse sources which can be continuous, intermittent, or seasonal. Thus, aquatic organisms in these water bodies are exposed to temporally and compositionally variable mixtures. We have delineated source-specific signatures of these mixtures for diffuse urban runoff and urban point source exposure scenarios to support risk assessment and management of these mixtures. The first step in a tiered approach to assessing chemical exposure has been developed based on the event mean concentration concept, with chemical concentrations in runoff defined by volumes of water leaving each surface and the chemical exposure mixture profiles for different urban scenarios. Although generalizations can be made about the chemical composition of urban sources and event mean exposure predictions for initial prioritization, such modeling needs to be complemented with biological monitoring data. It is highly unlikely that the current paradigm of routine regulatory chemical monitoring alone will provide a realistic appraisal of urban aquatic chemical mixture exposures. Future consideration is also needed of the role of nonchemical stressors in such highly modified urban water bodies. Environ Toxicol Chem 2018;37:703-714.
© 2017 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC. © 2017 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC.

Entities:  

Keywords:  Mixture; Predictive toxicology; Risk assessment; Water quality

Mesh:

Substances:

Year:  2018        PMID: 28861906     DOI: 10.1002/etc.3975

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  5 in total

1.  Making 'Chemical Cocktails' - Evolution of Urban Geochemical Processes across the Periodic Table of Elements.

Authors:  Sujay S Kaushal; Kelsey L Wood; Joseph G Galella; Austin M Gion; Shahan Haq; Phillip J Goodling; Katherine A Haviland; Jenna E Reimer; Carol J Morel; Barret Wessel; William Nguyen; John W Hollingsworth; Kevin Mei; Julian Leal; Jacob Widmer; Rahat Sharif; Paul M Mayer; Tamara A Newcomer Johnson; Katie Delaney Newcomb; Evan Smith; Kenneth T Belt
Journal:  Appl Geochem       Date:  2020-08-01       Impact factor: 3.524

2.  Prospective mixture risk assessment and management prioritizations for river catchments with diverse land uses.

Authors:  Leo Posthuma; Colin D Brown; Dick de Zwart; Jerome Diamond; Scott D Dyer; Christopher M Holmes; Stuart Marshall; G Allen Burton
Journal:  Environ Toxicol Chem       Date:  2018-02-12       Impact factor: 3.742

Review 3.  The Swiss Ecotox Centre: bridging the gap between research and application.

Authors:  Inge Werner
Journal:  Environ Sci Eur       Date:  2018-05-16       Impact factor: 5.893

4.  Combined toxicities of cadmium and five agrochemicals to the larval zebrafish (Danio rerio).

Authors:  Guixian Hu; Hao Wang; Yujie Wan; Liangliang Zhou; Qiang Wang; Minghua Wang
Journal:  Sci Rep       Date:  2022-09-26       Impact factor: 4.996

5.  Prospective aquatic risk assessment for chemical mixtures in agricultural landscapes.

Authors:  Christopher M Holmes; Colin D Brown; Mick Hamer; Russell Jones; Lorraine Maltby; Leo Posthuma; Eric Silberhorn; Jerold Scott Teeter; Michael St J Warne; Lennart Weltje
Journal:  Environ Toxicol Chem       Date:  2018-02-12       Impact factor: 3.742

  5 in total

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