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A tiered, integrated biological and chemical monitoring framework for contaminants of emerging concern in aquatic ecosystems.

Authors :
Maruya, Keith A
Dodder, Nathan G
Mehinto, Alvine C
Denslow, Nancy D
Schlenk, Daniel
Snyder, Shane A
Weisberg, Stephen B
Source :
Integrated Environmental Assessment & Management; Jul2016, Vol. 12 Issue 3, p540-547, 8p
Publication Year :
2016

Abstract

ABSTRACT The chemical-specific risk-based paradigm that informs monitoring and assessment of environmental contaminants does not apply well to the many thousands of new chemicals that are being introduced into ambient receiving waters. We propose a tiered framework that incorporates bioanalytical screening tools and diagnostic nontargeted chemical analysis to more effectively monitor for contaminants of emerging concern (CECs). The framework is based on a comprehensive battery of in vitro bioassays to first screen for a broad spectrum of CECs and nontargeted analytical methods to identify bioactive contaminants missed by the currently favored targeted analyses. Water quality managers in California have embraced this strategy with plans to further develop and test this framework in regional and statewide pilot studies on waterbodies that receive discharge from municipal wastewater treatment plants and stormwater runoff. In addition to directly informing decisions, the data obtained using this framework can be used to construct and validate models that better predict CEC occurrence and toxicity. The adaptive interplay among screening results, diagnostic assessment and predictive modeling will allow managers to make decisions based on the most current and relevant information, instead of extrapolating from parameters with questionable linkage to CEC impacts. Integr Environ Assess Manag 2016;12:540-547. © 2015 SETAC [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15513777
Volume :
12
Issue :
3
Database :
Complementary Index
Journal :
Integrated Environmental Assessment & Management
Publication Type :
Academic Journal
Accession number :
116322942
Full Text :
https://doi.org/10.1002/ieam.1702