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Prediction of ecological no-effect concentrations for initial risk assessment: Combining substance-specific data and database information

✍ Scribed by Willem Roelofs; Mark A. J. Huikbregts; Tjalling Jager; Ad M. J. Ragsas


Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
91 KB
Volume
22
Category
Article
ISSN
0730-7268

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✦ Synopsis


Abstract

A new method is proposed to derive predicted no‐effect concentrations (PNECs) for initial risk assessments for aquatic ecosystems from a limited set of single‐species toxicity data. The method includes three steps. First, acute toxicity data are divided by an acute‐to‐chronic assessment factor to obtain chronic toxicity data. Subsequently, chronic toxicity data are averaged to obtain an average hazardous concentration (HC50). Finally, the HC50 is divided by an interspecies assessment factor to obtain a PNEC. Both assessment factors are derived as probability distributions from an extensive ecotoxicological database. The interspecies assessment factor is combined with substance‐specific toxicity data using Bayesian statistics. The proposed method optimizes the use of the available ecotoxicological information and it produces an uncertainty estimate of the PNEC. Sample calculations indicate that the proposed method may provide a good alternative for currently applied methods for initial risk assessment, particularly if few toxicity data are available.