Ecological Systems and Devices Annotation << Back DEVELOPMENT OF A BASIC MODEL OF AN ARTIFICIAL NEURAL NETWORK OF SYSTEM FOR ENVIRONMENTAL AUTOMATED AIR MONITORING V.M. Panarin, K.V. Grishakov, O.V. Grishakova, A.A. Maslova, A.V. Arhipov The article provides a solution to the problem of adaptation of monitoring systems in the conditions of specific regions by developing methods for mathematical modeling, simulating the distribution of emissions using artificial neural networks used in an automated environmental monitoring system. Modeling of atmospheric pollution processes removes a number of inaccuracies and solves such problems as forecasting, placement of monitoring posts (stationary and mobile), the contribution of a particular industrial facility to total air pollution in real time in order to take management measures to standardize emissions. The development of a basic model of an artificial neural network in the system of environmental automated monitoring of atmospheric air is described, the interface of the monitoring system is described. These systems will allow assessing the state and predicting air pollution based on environmental monitoring and modeling the processes of dispersion of dust and gas substances in the atmosphere. Keywords: environmental monitoring, artificial neural network, automated system, decision making, air pollution. DOI: 10.25791/esip.4.2022.1294 Pp. 48-54.