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EU-SICHERHEITSDATENBLATT Dieselkraftstoff ... - Schmierstoffe

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1-1<br />

SECTION 1<br />

1 INTRODUCTION<br />

Refined petroleum substances are complex substances containing numerous<br />

hydrocarbon constituents. This poses a challenge for environmental hazard assessments<br />

including toxicity testing. As a result high quality toxicity data may not be available for<br />

hazard ranking of petroleum substances. In these instances the PETROTOX model can be<br />

used to provide reasonably conservative predictions of acute and chronic toxicity (Redman<br />

et al 2010; HydroQual 2009). However, precedence will be given to experimental data<br />

(when available) over predicted values.<br />

The PETROTOX model is based on previous work modeling the solubility of<br />

petroleum substances (Di Toro et al 2007; McGrath et al 2005) and the Target Lipid Model<br />

to predict toxicity of narcotic chemicals (Di Toro et al 2000; McGrath and Di Toro 2009).<br />

This report documents the results of PETROTOX predictions for the wide range of<br />

petroleum substances that are currently under review as part of the chemicals regulation<br />

program REACH in Europe.<br />

Substance categories<br />

This report addresses 19 main substance categories that represent major categories of<br />

refined petroleum substances being managed by CONCAWE in support of REACH<br />

requirements. These categories span a wide range of distillation properties in refined<br />

substances from petroleum gases to bitumen. An industry-wide effort was conducted to<br />

characterize these substances using comprehensive 2D gas chromatography, which were<br />

used as the input to the PETROTOX predictions. The average compositions of all samples<br />

within a category are reported in the sections below.<br />

Model set-up<br />

The PETROTOX model was designed to predict the results of standardized<br />

laboratory toxicity testing methods. The default system parameters are, therefore, consistent<br />

with the design of the testing systems as well as the validation of the PETROTOX model<br />

(Redman et al 2010). For example, model simulations were performed assuming a 10%<br />

headspace to account for volatilization of test substances during exposures. Also,<br />

predictions for microbial organisms (e.g., algae and WWTP organisms such as protozoa)<br />

were performed assuming a particulate organic carbon content of 2 mg/L. This accounts<br />

for elevated particulate concentrations present during typical test conditions, which can<br />

lower the bioavailability of the dissolved hydrocarbons and is consistent with the initial<br />

validation of the model (Redman et al 2010).

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