Advanced Exposure Modelling

When a risk assessment cannot demonstrate that a chemical is safe, then the next step is to ask how realistic your assumptions are. When you make your estimate of exposure more realistic, then you can improve both the quality of the risk assessment and the confidence that using your product will be safe. The techniques described below can be applied equally well to human or environmental exposure assessments.

Spatial approaches may be used when the problem is linked to specific locations. We would usually use Geographical Information Systems (GIS) to support such an approach. Enviresearch has the track record and expertise in using and interpreting geographical data to improve the conceptual model in your exposure assessment.
Statistical approaches may be used when the problem is linked to probability. Analysing the distribution of key properties and presenting our results in terms of a cumulative probability of exposure is usually the best strategy. This approach has repeatedly shown relevance in the assessment of exposure of surface waters via drain flow in the UK.

Challenging assumptions in the models is important when the model was developed under a set of circumstances that do not reflect the current context. We may suggest a targeted data-collection process to support such an approach, or interpolate from the existing database (e.g. on the basis of chemical structure or data on product usage).