Methodology for Assessing the Level of Territorial Environmental Risk for the Planned Management of Environmental Safety of the Urban Environment

Abstract

An approach is proposed and justified for the effective planned management of environmental safety in an urbanized area at the local level based on the level of territorial environmental risk. Using probabilistic approaches and based on the phased application of intelligent algorithms, a method for evaluating the response of sensitive representatives of the population of an urbanized territory to anthropogenic impact. The developed zoning algorithm for an urbanized area using a cascade of Kohonen neural self-organizing networks allows you to simultaneously take into account heterogeneous and different-sized data that have varying degrees of influence on the state of the studied environmental objects with arbitrary accuracy. It is proposed to use the results of zoning of the urbanized territory to determine the directions for its further use.