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Date 30 April 2020
Title CHCS Training “Advanced Ecotoxicology” (Module 12)
Organiser Chemical Hazards Communication Society (CHCS)
Location Etc.venues County Hall, Riverside Building, Belvedere Road, London, SE1 7PB
Details

There is more to ecotoxicity than you thought ...

Following from Module 6 at the ‘basic’ level, we know that standard test data on the short-term effects to fish, Daphnia or algae can provide us with classification end points. We also know that some chemicals will biodegrade or hydrolyse in the environment and using these data, we can make basic assessments and complete (and understand) Module 12 of the SDS.

However, it is an unfortunate fact of life that many chemical products fail fit into the ideal of simple classification and risk assessment and in these cases, an advanced level of understanding in ecotoxicology is required.

This full-day training session has been put together to follow-up from the Basic Ecotoxicology course (Module 6) and is intended to build on these basic principles by considering more than acute aquatic toxicity studies. A further aim of the module is to help those reading data take a more critical approach to look for anomalies and to be able to pick out environmental concerns from the minimal data that are usually available to SDS writers.

Time is also given to finding data and to assess the quality of data; the internet is a wonderful tool and with the disseminated REACH dossiers providing unprecedented quantities of data it is even more important to discern the quality of data. The next challenge is to use this for self-classification of mixture.

The day is aimed at those with a reasonable technical understanding of ecotoxicology, and have ideally attended Module 6, and are ready to discuss chemistry, environmental fate and ecotoxicity.

Topics Covered Include:

  • Dealing with difficult substances and mixtures

  • An understanding of environmental risk

  • Consideration of atmospheric, aquatic and terrestrial compartments

  • Finding data and assessing quality

  • Interpretation of data and identification of concern from minimal data

  • The use of computer models, read across and educated guessing (SAR), especially for development products and mixtures

  • Long-term effects of chemical, including the movement of pollutants

  • Deliberate and accidental release scenarios

Further Information