The article focuses on the actual scientific and practical problem of accounting for the influence of meteorological and climatic factors in the technical and economic calculations in the field of environmental management. It has been proven that the introduction of scientifically sound and effective methods of using meteorological and climatic information in economic calculations significantly reduces the loss caused by weather conditions and improves the implementation of an optimal strategy for agricultural production on reclaimed lands. Such calculations are based on economic and statistical modelling of different variants that account for standard hydrometeorological information in the implementation of design, management, and economic decisions. This increases the validity and reliability of calculations, as well as their compliance with the actual operating conditions of environmental and economic facilities. Consequently, this attracts increased interest from both public and private investors.
TopBackground
The current development of Ukraine is characterized by significant imbalances in the development of various sectors of the economy. This is mainly due to the scarcity of financial resources, their different investment attractiveness and the presence of negative trends in the sectors that actively use natural resources. At the present time, the situation is exacerbated by the current challenges of the present - energy, food and water crises, climate change at both global and regional levels (Blanc et al. (2017); Dong et al. (2016); Gohar et al. (2016); Kovalenko et al. (2019); Martyn et al. (2019); Martyn et al. (2020); Massey (2012); Openko et al. (2020); Rezaei Zaman et al. (2016); Rokochinskiy (2010).
Such changes need special attention and investment in the highest sensitive and the least adaptable industries as most ecosystems are very sensitive to farming practices and resources demand. Therefore, an effective mechanism and toolkit for business planning is needed in such ecosystems to reduce the losses caused by adverse climate change.
That is why special attention should be paid to the development and functioning of the natural-engineering sectors, where the economic growth is limited by the rational use of natural resources and environmental protection. The variability of natural and climatic conditions in investment projects in the field of nature management Land reclamation is one of such sectors (Kovalenko et al. (2019); Rokochynskiy et al. (2020).
The current state of the sector is characterized by a decrease in the efficient use of reclaimed land and its role in agricultural production. It is a consequence of a deep economic crisis that has hit all sectors of the economy. Today, the economic and environmental problems of land reclamation are of particular relevance.
In the last decade, the trends in the sector have been characterized by a complex of unresolved issues, such as underfunding due to the lack of interest from both state and private investors.
These problems in water management and land reclamation can be solved by the restructuring of the system of economic relations, introduction of effective market management methods, and the application of new methodology and methods to economic calculations.
The transformation of economic relations of Ukraine, the emergence of new financing sources for investment projects, and the need for greening modern production require the revision and improvement of traditional approaches, particularly to ecologically and economically optimal design solutions in the areas of environmental management in general and water management and land reclamation in particular (Armeanu et al. (2009); Bierman et al. (2006); Haka (2006); Mohamed, McCowan (2001); Nowak (2005).
This, however, is complicated by the specific functioning of water management and reclamation facilities and the development of projects in the difficult and changing environmental conditions. The above must be taken into consideration when selecting the best option for project implementation (Rokochynskiy (2016); Rokochynskiy et al. (2019).