Air monitoring makes it possible to zone the urban environment according to the degree of technogenic impact, using significant socio-ecological and economic indicators to optimize management decisions for a wide range of applied tasks of territorial strategic planning. Fuzzy expert assessment uses the representation of knowledge in the form of linguistic variables, so it is important to provide the developer of software tools with reliable characteristics of the subject area of monitoring. Based on the critical analysis of the known approaches to the ranking of the territory according to the criteria of environmental safety, a matrix method for zoning the territory of an industrial agglomeration is developed and discussed for the coordination of two indicators - «specific ecological and economic damage» and «the coefficient of localization of aerotechnogenic load from stationary sources of emissions». The indicators best reflect the complex pollution of the territory and the complex causal operational and natural links in the chain: «technology → gas purification system→ source of emissions → dispersion of substances in the surface layer of the atmosphere → formation of an active pollution zone → damage». Ignoring the role of the spatial factor reduces the diagnostic potential of existing predictive automated emission control systems. The author’s propositions are illustrated by the data on the air intensity of economic activity and the discussion of the prerequisites for the harmonization of Russian and international monitoring standards based on the principles of Directive 2004/3 5/CE11 of the European Parliament.

Fuzzy expert assessment of the current state and prospects for changing technologies is based on knowledge of the subject area of research, understanding of foresight priorities, and the choice of components whose loss leads to maximum damage to functionality. The relevance of the structural analysis of technologies is justified, the basic components and their weights are highlighted (by the example of poultry farming), and the positions of agricultural technologies are defined in the coordinates «level of innovation – impact on cost» are determined. Basic components of the technology are input and output flows; volume-space parameters of objects; technological mode of operations, materials, reagents, biologics; machines, equipment, vehicles; means of automation and computerization of quality control and management; staff competencies. A graphic technique of technology choice in the conditions of market uncertainty, constant risk and instability of agricultural production conditions is considered. The results of the study can serve as a working tool to facilitate the construction of the expert’s chain of reasoning.