|
SAVE-IT
Spatial and Dynamic Prediction of Radiocaesium
Transfer to Food Products
Overview
The system comprises spatial datasets and radiocaesium transfer
models encapsulated within a windows based user interface.
Spatial databases have been derived for Western Europe and contain
relevant soil characteristics, food production statistics, agricultural
management and human dietary habits. These provide inputs
to the models which predict food product contamination and subsequently
estimate human dietary intake.
A key part of the system is a novel semi-mechanistic soil-plant
transfer model which predicts plant activity concentrations on the
basis of soil physical and chemical properties. This model
has been developed from experimental work within the SAVE project
and evaluated using independent data collated by other groups.
The software and associated documentation are available from this
website subject to the conditions of use below.
For more background information click
here
Conditions of Use
SAVE-IT may be freely downloaded and used for any non-commercial
purpose via link below.
Users are required to recognise that no guarantees are made regarding
the accuracy of predictions or reliability of the software, and
at all times interpretation of models outputs requires expert judgement.
The University reserves the right to change these conditions of
use at any time.
© 1999 University of Nottingham
Whilst the SAVE-IT software and documentation are freely available
they do remain Intellectual Property of the University of Nottingham.
Download Software
You can download the SAVE-IT software together with documentation
for its use.
[click here]
Any problems with the software please email:
save-it@nottingham.ac.uk
|

The application of the model to England and Wales has been described
in:
Gillett AG, Crout NMJ, Absalom JP, Wright SM, Young SD, Howard
BJ, Barnett CL, McGrath SP, Beresford NA, Voigt G, (2001). Temporal
and spatial prediction of radiocaesium transfer to food products.
Radiation & Environmental Biophysics, 40:27-235.
For a full pre-publication version of the paper [click
here - pdf 350 kB]
|