To collect data on source term, dispersion, complex terrain experiments to a database for model validation and modelling purposes.
In the field of consequence/risk analysis a lot of work has been carried out : many experiments have been carried out; data has been collected from the experiments; and there exists a variety of mathematical and physical models. However, the linkage and quality requirements between these three areas is very poor. The main research areas in experimental work are concentrated on getting more information about source terms, dispersion and complex terrain experiments.
The usefulness of model evaluation depend upon the existence and extensiveness of appropriate databases and the accessibility of the databases. Thus, there exists a great demand to build up a good database to satisfy the validation and quality requirements of models.
In model validation, there will be uncertainties associated with the stochastic nature of the problem and with data errors. The comparison of model and experiments will include these effects in addition to the inaccuracy of the model itself. Stochastic effects and data errors will place a restriction on what quantitative results can be deduced from a model validation. This can avoided by using fuzzy mathematics in constructing a database.
The project brings a basis for construction of a database in order to obtain data to a database for evaluating and developing the quality and validity of the consequence models used in risk assessment.
Funding SchemeCSC - Cost-sharing contracts
M60 1QD Manchester