SENSING AND ANALYSIS OF RADIOACTIVE RADON 222Rn CONCENTRATION CHAOTIC VARIABILITY IN AN ATMOSPHERE ENVIRONMENT

Abstract

For the first time we present the results of computational analysis and modelling the atmospheric radon 222 Rn concentration temporal dynamics using the data of the Chester surface observations of the Environmental Measurements Laboratory (USA Dept. of Energy). A chaotic behaviour has been discovered and in details investigated by using nonlinear methods of the chaos and dynamical systems theories. To reconstruct the corresponding strange chaotic attractor, the time delay and embedding dimension are computed. The former is determined by the methods of autocorrelation function and average mutual information, and the latter is calculated by means of correlation dimension method and algorithm of false nearest neighbours. The topological and dynamical invariants for the observed time series of the Rn concentrations are computed..