We are a small consultancy specialising in mathematical and computing modelling of environmental processes, focusing on atmospheric dispersion of pollution and on the possible future effects of radioactive waste disposal. A key factor often neglected in environmental impact studies is the uncertainty in the results. For instance, typical atmospheric dispersion models only predict surface concentrations to within a factor of 2 or 3 (details here), whilst long term predictions of groundwater dispersal from underground radioactive waste disposal facilities have even greater uncertainties. The use of appropriate uncertainty analysis techniques can help quantify, and thereby reduce, such uncertainties. For further information on our uncertainty please click here. This page is available in French: La Classification de l'Incertitude Atmospheric Dispersion Modelling Releases into the atmosphere of a range of pollutants cause public concern and can lead to risks. For instance from waste incinerators, nuclear plant, factory fires and motor vehicles. In modelling the dispersal of such pollution consideration is given to the source, the pollutant, the atmospheric conditions and Uncertainty. For further information on atmospheric dispersion modelling please click here.
Radioactive waste, which is produced by nuclear power, military and industrial processes, needs to be disposed of in a way that is safe for the coming millennia. This is normally done in a surface or subsurface repository. Part of the safety case for such disposal is a PCRA (Post-Closure Radiological Assessment), which is undertaken to consider the possible risks due to , gaseous release and inadvertent human intrusion. For further information on PCRA studies please click here. In our work we contribute to all parts of the mathematical and computational modelling process, including:
For further information on computer code development
please click here.
To find out more email Neill Cooper or phone 01883 624052. © 2000 Neill S Cooper
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