Development of an Environmental Monitoring System for Predicting and Preventing Photochemical Smog

Prevention of the occurrence of photochemical smog as a consequence of the superposition of meteorological and geochemical factors, implemented on the basis of machine learning algorithms with the prediction of ecological models of the technosphere system and air quality. This complex will make it possible to predict an environmentally hazardous situation, the consequences of which have a direct impact on human life and health, urban infrastructure, soil fertility, and the likelihood of fires. As a result, a machine learning-based software solution was developed to predict photochemical smog near industrial plants.