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Abstract. European Bank for Reconstruction and Development, within the framework of the Energy and Natural Resources program, invests in regions to irrigate peatlands for the implementation of a large-scale international project "Wetlands and Climate". Similar activities began in Meshchera, a large forest and marsh area in Central Russia, where wildfires often occur in dry summers. However, in these investment projects, environmental and economic risks are not sufficiently taken into account. The proposed new approach is based on modelling the soil cover after implementing measures for flooding fire-hazardous peatlands. This allows us to quantify how flooding affects the risks associated with fires. It also allows finding the most economically effective type of land use after flooding. We carried out numerical simulation of flooding for a separate land plot in Ryazan Meshchera, which showed a twofold reduction in the risks associated with fires, as well as an increase in largescale heterogeneity of the soil cover. This led to the conclusion that for this site the most cost-effective will be investment in projects aimed at narrowly specialized land use.

Increased industrial enterprises concentration leads to environmental pollution in rural areas and an increase in incidence. This problem was studied using spatial comparative analysis. There was determined the negative trend value for rural development. A comparison of rural areas was made in the Ryazan region. These areas are similar in terms of natural conditions and differ in terms of economic development and health risks. Medical and demographic statistics were used to justify the impact of environmental pollution on the rural population morbidity. Statistical indicators of rural population morbidity and mortality based on medical data were used. The environment pollution influence on the growth of neoplasm morbidity and mortality has been established for rural areas. These indicators are higher in the Ryazan region than the average for Russia. The indicator of social factors, which is the main cause of infectious disease death from in 60% of cases, was chosen as the tuberculosis morbidity and mortality rate. To calculate the integral region health index there were used environmentally significant pathology indicators-the neoplasm incidence index, the neoplasm mortality index and the infant mortality index. The tuberculosis mortality index was used as the negative social phenomena indicator. The ranking of municipalities (mostly rural) was based on these indexes. Intraregional differentiation of the population's health status largely corresponds to the distribution of background territory pollution indicators. Therefore territorial and temporal changes in the integral index of regional health should be considered as an indicator of the corresponding negative environment quality change.

The main cause of polyelement pollution of farm lands is related to the long-distance transport of pollutants from sources of heavy metal emissions into the atmosphere. There are different conditions for polyelement contamination of land in the differentiated wind field of the Ryazan region. This depends on the intensity and direction of the air-technogenic flow of pollutants. Therefore, it is possible to establish the risk categories of polyelement contamination of agricultural land. Basically, the land farms of the Ryazan region can be classified as a high risk of polyelement pollution priority pollutants-zinc, lead, copper. Soil genetic features of chernozems, gray forest soils, sod-podzolic soils, alluvial soils do not affect the risk of polyelement contamination, which is more dependent on the wind flow of pollutants. Agricultural land is contaminated with cadmium, which should also be taken into account to assess the risk. It is possible to use the methodology of "applied information economy" for creating a conceptual model of accounting for the risk of multi-element contamination of agricultural land. This allows to quantify non-economic factors in the presence of risks and uncertainties. The following non-economic risk factors were identified: 1-changes in the content of priority pollutants in soils, such as zinc, copper, lead; 2-changes in the content of accompanying pollutants in soils, for example, cadmium; 3-changes in the quality of land due to pollution; 4-changes in the soil quality due to pollution. Under the influence of these environmental factors there is a loss of land value. Further, the Fermi method and the Monte Carlo method should be used in analytical modelling of investment risk due to contamination of agricultural land with heavy metals. After a set of sufficient statistics probabilistic distribution for the indicator of land value, which allows to establish the most likely change in the value of the land with polyelement soil pollution, is calculated.