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Investigating predictive tools for refinery effluent hazard assessment using stream mesocosms.

Kevin Cailleaud1, Anne Bassères1, Clémentine Gelber1

  • 1Pôle d'études et de Recherche de Lacq, TOTAL, Lacq, France.

Environmental Toxicology and Chemistry
|December 21, 2018
PubMed
Summary
This summary is machine-generated.

Assessing refinery effluent hazards is complex. This study validated predictive tools, showing they accurately forecast chronic toxicity effects in freshwater stream ecosystems, improving environmental risk assessment.

Keywords:
Biomimetic extractionMesocosmsPETROTOXRefinery effluents

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Area of Science:

  • Environmental Toxicology
  • Ecotoxicology
  • Chemical Analysis

Background:

  • Refinery effluents pose complex environmental hazards due to their intricate chemical composition.
  • A weight-of-evidence approach integrating multiple analytical and predictive tools is crucial for effective hazard assessment.
  • Previous studies utilized tools like biomimetic extraction, 2D gas chromatography, and toxicity modeling (PETROTOX).

Purpose of the Study:

  • To evaluate the efficacy of predictive tools in assessing the environmental risks of refinery effluents.
  • To compare predictions from chemical analyses and toxicity models with actual effects observed in experimental stream ecosystems.
  • To validate the use of stream mesocosms for refinery effluent toxicity studies.

Main Methods:

  • Utilized biomimetic extraction for quantifying bioaccumulative substances and 2-dimensional gas chromatography for chemical analysis.
  • Employed modeling approaches (PETROTOX) to link oil composition with toxicity.
  • Conducted whole-effluent toxicity assessments using stream mesocosm studies with three different refinery effluent samples, some fortified with petroleum substances.

Main Results:

  • Observed shifts in biological communities at higher effluent exposure levels in experimental streams.
  • These biological shifts were consistent with chronic toxicity effects predicted by modeled toxic units and bioaccumulative substance measurements.
  • Demonstrated a correlation between predicted toxicity and observed ecological impacts.

Conclusions:

  • The predictive tools evaluated show significant potential for assessing refinery effluent hazards.
  • Stream mesocosm studies provide a robust experimental design for understanding the ecological impacts of complex effluents.
  • This research enhances the understanding of environmental risks associated with refinery discharges and validates predictive assessment methods.