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The work presents the analysis of variability of acoustic pressure, calculated from values of equivalent sound level, recorded in monitoring station. The models of acoustic pressure variability were built in the form of regression trees and random forest. The analysis of accuracy of obtained models was carried out. These models were subsequently used for reconstruction of equivalent sound level for periods of monitoring station inactivity.