Geostatistics for radiological evaluation: study of structuring of extreme values

Geostatistics applied to radiological evaluation of nuclear premises provides sound methods to estimate radiological activities, together with their uncertainty. Quantification and risk analysis of contaminated areas are initially performed by applying geostatistical methods relying on the multi-Gau...

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Bibliographic Details
Published in:Stochastic environmental research and risk assessment 2011-12, Vol.25 (8), p.1031-1037
Main Authors: Desnoyers, Y., Chilès, J.-P., Dubot, D., Jeannée, N., Idasiak, J.-M.
Format: Article
Language:English
Subjects:
Aquatic Pollution
Chemistry and Earth Sciences
Computational Intelligence
Computer Science
Earth and Environmental Science
Earth Sciences
Environment
Geostatistics
Math. Appl. in Environmental Science
Mathematics
Normal distribution
Nuclear power plants
Original Paper
Physics
Probability Theory and Stochastic Processes
Radiation
Risk analysis
Statistics
Statistics for Engineering
Statistics Theory
Waste Water Technology
Water Management
Water Pollution Control
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Summary:Geostatistics applied to radiological evaluation of nuclear premises provides sound methods to estimate radiological activities, together with their uncertainty. Quantification and risk analysis of contaminated areas are initially performed by applying geostatistical methods relying on the multi-Gaussian assumption. However, the application of the classical bi-Gaussian model for disjunctive kriging proves sub-optimal due to the spatial structuring of high and low values. The beta model which pertains to the class of Hermitian isofactorial models is potentially better suited to radiological evaluation as it allows a continuous evolution from a mosaic to a pure diffusive model. In the test case, disjunctive kriging estimates are obtained by applying in turn the beta model and the pure diffusive model. The comparison of estimation outcomes shows rather limited differences, primarily located in and around the homogeneous contaminated areas.
ISSN:1436-3240
1436-3259
DOI:10.1007/s00477-011-0484-6