title: A probabilistic description of radioactive contamination.
abstract: A discrete probability model is used to aid in the description of gamma-ray spectroscopic data obtained from a radioactively contaminated territory. The approach gives a natural probability for distinguishing contaminated regions and is useful for describing spatial vector valued discrete random fields. Using the simplest variant of this model, a part of the territory adjoining the former Semipalatinsk's nuclear test site in Kazakhstan has been investigated. Probabilities of exceeding the safety limits for 137Cs and integral gamma-radiation have been estimated.
authors.affiliation: Université Bordeaux 2, France.
authors.lastname: Nikulin
authors.forename: M M
authors.initials: MM
authors.lastname: Novak
authors.forename: T I
authors.initials: TI
authors.lastname: Smirnov
authors.forename: V G
authors.initials: VG
authors.lastname: Voinov
mesh_terms: D005720:Gamma Rays; D008956:Models, Chemical; D015233:Models, Statistical; D011336:Probability; D011834:Radiation Monitoring / Q000379:methods*; D011848:Radioactive Pollutants / Q000032:analysis*
chemical_list: D011848:Radioactive Pollutants