Risk assessment of chemicals and their mixtures are hindered by scarcity and inconsistencies between different environmental exposure limits

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MARC

Gustavsson, Mikael,1983Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper,Department of Mathematical Sciences,Chalmers tekniska högskola,Chalmers University of Technology (author)

Risk assessment of chemicals and their mixtures are hindered by scarcity and inconsistencies between different environmental exposure limits

Article/chapterEnglish2023

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Elsevier BV,2023

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LIBRIS-ID:oai:gup.ub.gu.se/325624
https://gup.ub.gu.se/publication/325624URI
https://doi.org/10.1016/j.envres.2023.115372DOI
https://research.chalmers.se/publication/535079URI

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Language:English

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Subject category:ref swepub-contenttype
Subject category:art swepub-publicationtype

Notes

In chemical risk assessment, measured or modelled environmental concentrations are compared to environ-mental exposure limits (EELs), such as Predicted No Effect Concentrations (PNECs) or hazardous concentrations for 5% of species (HC05s) derived from species sensitivity distributions (SSDs). However, for many chemicals the EELs include large uncertainties or, in the worst case, the necessary data for their estimation are completely missing. This makes the assessment of chemical risks and any subsequent implementation of management strategies challenging. In this study we analyzed the uncertainty of EELs and its impact on chemical risk assessment. First, we compared three individual EEL datasets, two primarily based on experimental data and one based on computational predictions. The comparison demonstrates large disagreements between EEL data sources, with experimentally derived EELs differing by more than seven orders of magnitude. In a case-study, based on the predicted emissions of 2005 chemicals, we showed that these uncertainties lead to significantly different risk assessment outcomes, including large differences in the magnitude of the total risk, risk driver identification, and the ranking of use categories as risk contributors. We also show that the large data-gaps in EEL datasets cannot be covered by commonly used computational approaches (QSARs). We conclude that an expanded framework for interpreting risk characterization outcomes is needed. We also argue that the large data -gaps present in ecotoxicological data need to be addressed in order to achieve the European zero pollution vision as the growing emphasis on ambient exposures will further increase the demand for accurate and well -established EELs.

Subject headings and genre

MEDICIN OCH HÄLSOVETENSKAP Hälsovetenskap Arbetsmedicin och miljömedicin hsv//swe
MEDICAL AND HEALTH SCIENCES Health Sciences Occupational Health and Environmental Health hsv//eng
NATURVETENSKAP Biologi Bioinformatik och systembiologi hsv//swe
NATURAL SCIENCES Biological Sciences Bioinformatics and Systems Biology hsv//eng
NATURVETENSKAP Geovetenskap och miljövetenskap Miljövetenskap hsv//swe
NATURAL SCIENCES Earth and Related Environmental Sciences Environmental Sciences hsv//eng
Chemical risk assessment
Predicted No Effect Concentrations
Hazard
assessment
Chemical mixtures
SimpleTreat
species sensitivity distributions
organic-chemicals
treatment-plant
pharmaceuticals
toxicity
future
ecosystems
removal
fish
Environmental Sciences & Ecology
Public
Environmental & Occupational
Health
SimpleTreat

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Molander, Sverker,1957Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)svemol (author)
Backhaus, Thomas,1967Gothenburg University,Göteborgs universitet,Institutionen för biologi och miljövetenskap,Department of Biological and Environmental Sciences,University of Gothenburg(Swepub:gu)xbacth (author)
Kristiansson, Erik,1978Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper,Department of Mathematical Sciences,Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)erikkr (author)
Göteborgs universitetInstitutionen för matematiska vetenskaper (creator_code:org_t)

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In:Environmental Research: Elsevier BV2250013-93511096-0953

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MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Health Sciences; and Occupational Hea ...

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