Mathematical modeling of ecological observations data using time series analysis methods

In this work a mathematical model for the environment, particularly atmosphere, pollution is constructed. The model is based on wavelet transform for non-consistent time series which allows to get precise description of non-stationary and random processes of the air impurities spreading. The detailed wavelet transform algorithm, which allows to predict time series formed by the complex of random process observations, was provided. To improve the environmental situation and for ecological incidents prevention an air environment monitoring was performed. It includes a complex monitoring system for environment observation that takes in account the effect of natural and anthropogenic factors. Observation data is the main source of data for making ecologically significant decisions.