Species sensitivity distributions for use in environmental protection, assessment, and management of aquatic ecosystems for 12 386 chemicals.
Leo PosthumaJos van GilsMichiel C ZijpDik van de MeentDick de ZwartPublished in: Environmental toxicology and chemistry (2020)
The present study considers the collection and use of ecotoxicity data for risk assessment with species sensitivity distributions (SSDs) of chemical pollution in surface water, which are used to quantify the likelihood that critical effect levels are exceeded. This fits the European Water Framework Directive, which suggests using models to assess the likelihood that chemicals affect water quality for management prioritization. We derived SSDs based on chronic and acute ecotoxicity test data for 12 386 compounds. The log-normal SSDs are characterized by the median and the standard deviation of log-transformed ecotoxicity data and by a quality score. A case study illustrates the utility of SSDs for water quality assessment and management prioritization. We quantified the chronic and acute mixture toxic pressure of mixture exposures for >22 000 water bodies in Europe for 1760 chemicals for which we had both exposure and hazard data. The results show the likelihood of mixture exposures exceeding a negligible effect level and increasing species loss. The SSDs in the present study represent a versatile and comprehensive approach to prevent, assess, and manage chemical pollution problems. Environ Toxicol Chem 2019;38:905-917. © 2019 SETAC.
Keyphrases
- risk assessment
- electronic health record
- water quality
- human health
- heavy metals
- big data
- liver failure
- drug induced
- particulate matter
- air pollution
- climate change
- mental health
- respiratory failure
- health risk assessment
- artificial intelligence
- hepatitis b virus
- genetic diversity
- acute respiratory distress syndrome
- monte carlo
- mechanical ventilation