Стохастичний аналіз ризиків критичного забруднення атмосферного повітря промисловими центрами

Abstract

The paper investigates the risks of atmospheric pollution in Zaporizhzhia using statistical modelling methods. It substantiates the transitioning relevance from deterministic to probabilistic air quality assessment methods in conditions of anthropogenic high variability load and military risks. Using the Maple symbolic computation package, simulation modelling was performed based on the exponential distribution of time between events at a certain intensity. The results obtained can be used to develop early warning and decision-making systems in the field of environmental safety.