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Quality assured field loss data sets for modelling - RP0118
The proposed project aims to provide data of high
statistical validity on the procedd of particle 'field loss'
from canopies of four generic crop types exposed to
different rain fall conditions. Information on field loss
rates is an important component of hazard evaluation models
in the aftermath of nuclear emergencies. However, data
derived from disparate literature sources often have
unspecificed uncertainties and are of doubtful quality for
modelling purposes. This project will develop a quality
-assured approach to the acquisition of data intended for
input to MAFF's SPADE model. Experiments will be use a novel
combination of thermal generation of a uranium-based
aerosol with delayed neutron counting as a highly sensitive
1. To thermo-generate uranium aerosols and to detect by
delayed neutron counting (DNC) using the Imperial College
reactor and existing sample transfer facilities. This should
provide 'part-per-trillion' sensitivity for uranium which
in crops grown for experimetnal purposes has an extremely
low background concentration. Large sample volumes can be
accommodated with minimal preparation and rapid throughput.
2. To test aerosol generation, deposition and detection
techniques using a simple and rapidly grown plant canopy
3. TO subject this 'testbed' canopy to an experimental
regime involving exposure to or shelter from ambient
environmental conditions or simulated rainfall.
4. TO optimise an experimental design which allows the
application of analysis of co-variance to the data obtained.
5. To develop a quality assurance procedure together with
6. To derive discrete data sets for rye grass, wheat,
beans/potatoes and cabbage/lettuce.
Time-Scale and Cost
Contractor / Funded Organisations
University - London