A method of positive spectral filtering (PSF) is suggested as a mathematical approach to an analysis of nonnegative random signals, which allows one to select the components with different characteristic fluctuation times. The method is efficient for highly fluctuating signals, including concentration fluctuations of pollutants in the atmosphere. An example is given of the separation of contributions from near and far sources of pollution in the urban atmosphere.