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Relevance of research. At both global and regional levels, climate change has become an indisputable fact, the presence of which has posed to humanity the challenge of solving a number of extremely important and complex tasks related to the development and implementation of a strategy for their practical continued existence. Data base on evaporation and water needs for agricultural crops in the different periods of their growing, depending on the climatic conditions, are the basis for the development of design and formation of operational regimes of water regulation carried out by justifying the necessary methods of water regulation, types, structures and modes of operation of hydro-reclamation systems and calculation of their parameters. Aim of the study is to estimate the changes in water needs during crop cultivation on the drained lands of the Western Polissya in Ukraine in the variable climatic, agricultural and ameliorative conditions for the substantiation of appropriate adaptive decisions to it. To achieve this goal, the authors evaluated the weather and climate conditions in the Western Polissya in Ukraine and calculated the evaporation in the studied conditions, planned and carried out a large-scale computer experiment, based on a complex of predictive-simulation models concerning the basic regimes and technological variables of the hydro-reclamation system parameters, climate conditions, water regime, water regulation technologies and the productivity of drained lands for the schematized natural, agricultural and ameliorative conditions. Research methods. The research methods were based on the application of system theory along with the systematic approach, system analysis and modeling oriented on widespread use of computers and related software in developing modern approaches to the substantiation of technical and technological solutions for water regulation on the drained lands in the conditions of climate change. The object of the study is the drainage system “Birky” in Rivne region, typical for the region in relation to the natural land reclamation conditions. Results of the study and the main conclusions. It was established the needs for additional irrigation of cultivated crops on the drained lands of the Western Polissya in Ukraine in the current weather and climatic conditions. Based on the long-term forecast the vegetative values of the total evaporation and the formation of water needs for the drained lands in the variable climatic, agricultural land reclamation conditions were determined. The technological efficiency of different technologies of the irrigation on the drained lands was evaluated. This approach to the estimation of changes in water needs during crop cultivation in the variable climatic, agricultural and ameliorative conditions allows determining the best technology of water regulation for growing a particular crop under the studied conditions in terms of the most rational use of water resources and the efficiency of system functioning. Prospects. The obtained results can be effectively used for justification of regime and technological decisions in the projects of construction and reconstruction of hydro-reclamation systems of the Western Polissya in Ukraine in the variable climate conditions and developing hydro-technical adaptive measures to the predicted climate change in the region.

Relevance of research. Recent studies of weather and climatic conditions of the rice-growing zone of Ukraine indicate a steady tendency to increase the aridity of the climate in the region. Further increase in air temperature and decrease in natural water availability of these territories will lead to the increase in total evaporation and water needs for irrigation of the crops of rice crop rotation. Under such conditions a significant exacerbation of the existing problem of water deficit is expected in the region. The availability of water resources directly affects the efficiency of agricultural production on the irrigated lands of rice systems. In this regard, there is an objective need to adapt agricultural production on the irrigated lands of rice systems to the existed and predicted climate change, which, first of all, requires the assessment of water needs for irrigation both the leading crop of flooded rice and the interplanted crops of rice crop rotation. Aim of the study is to estimate the changes in water needs for irrigation of the interplanted crops of rice crop rotation in the variable natural-agro-reclamation conditions of rice system functioning. To achieve this goal, the authors implemented a large-scale computer experiment, based on a complex of predictive-simulation models, which basing on a long-term forecast, allow to estimate weather and climatic conditions, water regime, water regulation technologies and the productivity of reclaimed lands. During the experiment the conditions of total evaporation formation were investigated, the water needs of different types of interplanted crops of rice crop rotation were determined for the technology and regime of water regulation on the irrigated lands of rice systems for the typical groups of vegetation periods of target years in view of general heat and moisture provision. It was evaluated technological efficiency of irrigation of the interplanted crops of rice crop rotation in the variable natural-agro-reclamation conditions of rice system functioning and obtained results with the actual production data were compared. Research methods. The research methods were based on the application of system theory along with the systematic approach, system analysis and modeling oriented on widespread use of computers and related software in the developing of modern approaches to substantiate of technical and technological solutions for water regulation on the drained lands in the conditions of climate change. The object of the study is the Danube rice irrigation systems in Odessa region, design, natural and reclamation conditions of which are typical for the most of rice systems in Ukraine. Results of the study and the main conclusions. During the computer experiment the conditions of total evaporation formation were investigated, the water needs of different types of interplanted crops of rice crop rotation were determined for the technology and regime of water regulation on the irrigated lands of rice systems for the typical groups of vegetation periods of target years in view of general heat and moisture provision. Technological efficiency of irrigation of the interplanted crops of rice crop rotation in the variable natural-agro-reclamation conditions of rice system functioning was evaluated and the obtained results with the actual production data were compared. This approach makes it possible to evaluate and predict water needs for irrigation of the interplanted crops of rice crop rotation in the variable natural-agro-reclamation conditions of rice system functioning. Prospects. The obtained results can be effectively used for justification of regime and technological decisions in the projects of reconstruction and modernization of existing rice systems and developing adaptive measures to the predicted climate change in the region.

The early lines of code (LOC) estimation in software projects holds significant importance, as it directly influences the prediction of development effort, covering a spectrum of different programming languages, and open-source Kotlin-based applications in particular. The object of the study is the process of early LOC estimation of open-source Kotlin-based apps. The subject of the study is the nonlinear regression models for early LOC estimation of open-source Kotlin-based apps. Objective. The goal of the work is to build the nonlinear regression model with three predictors for early LOC estimation of open-source Kotlin-based apps based on the Box-Cox four-variate normalizing transformation to increase the confidence in early LOC estimation of these apps. Method. For early LOC estimation in open-source Kotlin-based apps, the model, confidence, and prediction intervals of nonlinear regression were constructed using the Box-Cox four-variate normalizing transformation and specialized techniques. These techniques, relying on multiple nonlinear regression analyses incorporating multivariate normalizing transformations, account for the dependencies between variables in non-Gaussian data scenarios. As a result, this method tends to reduce the mean magnitude of relative error (MMRE) and narrow confidence and prediction intervals compared to models utilizing univariate normalizing transformations. Results. An analysis has been carried out to compare the constructed model with nonlinear regression models employing decimal logarithm and Box-Cox univariate transformation. Conclusions. The nonlinear regression model with three predictors for early LOC estimation of open-source Kotlin-based apps is constructed using the Box-Cox four-variate transformation. Compared to the other nonlinear regression models, this model demonstrates a larger multiple coefficient of determination, a smaller value of the MMRE, and narrower confidence and prediction intervals. The prospects for further research may include the application of other data sets to construct the nonlinear regression model for early LOC estimation of open-source Kotlin-based apps for other restrictions on predictors. [ABSTRACT FROM AUTHOR]

Розглянута прогнозна оцінка формування погодно-кліматичних умов зони рисосіяння України в найближчій і віддаленій перспективі та їх вплив на природно-меліоративні режими рисових зрошувальних систем.