The assessment of impact of oil production economic activities on land pollution in Russia contributes to evolutionary management decision making. Oil industrial pollution affects negatively flora and fauna. Thus, its important to identify the level of its exposure and danger, the site of contamination. A system approach is needed. When studying the environment, its necessary to consider the presence of risk situations and stochastic irreversible changes. Its essential to identify the nature and type of soil contamination with petroleum products using high-tech tools, intellectual procedures. The work considers modeling of such situation, forecasting and identification of oil contaminants. The submodel of optimal termination of monitoring is also considered. Ending monitoring of environmental optimization will result in lower monitoring costs, since monitoring oilcontaminated environments is an expensive and complex technological mechanism, often requiring satellite data. The proposed algorithm for modeling and system analysis is based on situational modeling. Evolutionary modeling allows to adapt the procedure (methodology) of forecasting and assessment to environmental risk factors. It increases the accuracy (formalization and evidence) and completeness of conclusions, the efficiency of situation analysis, which affects manageability of risk both for the oil complex and for individual enterprise in the industry. The results of the research may be used for development of software tools, in particular expert and predictive systems. Situational models are needed when oil companies are solving multi-criteria and multifactor problems.

Land is one of the key resources in agricultural production. The use of these resources is signifi antly different from the use of labor resources and financing. It is the land features that affect the assessment of their use efficiency. The analysis of literary sources has shown, there are a large number of approaches and methods to assess the effectiveness of land resources. This indicates a great interest of researchers and practitioners in the issue under study. Each of the researchers offers their own unique methodology for assessing the efficiency of land use. However, it is impossible to distinguish a single method due to various reasons. Nevertheless, it should be noted that the proposed methods are complementary. The main goal of this study was to assess the effectiveness of agricultural land use in France. In this regard we used following methods: analysis and synthesis, graphical method, method of comparisons. The analysis was carried out in three stages. The dynamics and structure of agricultural lands of the country, the harvested areas of the main groups of agricultural crops were analyzed, both cost and natural indicators were calculated. As a result, we can say that the studied indicators should be used in the express assessment of efficiency, they can also be used in the comparative assessment of the efficiency of agricultural land use. For a deeper assessment, in our opinion, it is necessary to use other methods of analysis.

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In today's economy, it is necessary to explore the environmental impact of mining. Coal mining greatly affects all environmental parameters of the environment: home, production, hydrodynamics. The environmental situation in the area of the mining company can be changed if environmental contamination is monitored and environmental protection plans and measures are developed. The purpose of this work is the analysis of systems and models of these processes in the ecosystem. The main systemic hypothesis of the research is that the variety of criteria and methods of risk assessment is a necessary condition of order in the system. The main results of the work are the following: 1) a systematic analysis of the problems of environmental security, geodynamics of the mining areas, aspects of the balance of the sustainable process and the cause of the increase in danger was carried out; 2) Proposed approaches (models) for the assessment of evolutionary ecological potential and health risks, as well as adaptive situational modeling of the ecosystem. It is important to note, the study results do not suggest complex environmental monitoring studies.