The article presents research on environmental forecasting using machine learning methods for water quality analysis in the Southern Bug River. It focuses on the application of binary logistic regression and random forest regression to estimate the effects of various environmental parameters on key water quality indicators. The study involved data preparation by reading and processing CSV files with economic and environmental indicators and generating feature matrices and target vectors for model training. Both models were trained using nine years of data. The results can be used to develop water resource management strategies, predict the ecological state of water basins, and assess the influence of anthropogenic factors on the hydrochemical regime of rivers. In addition, the revealed relationships between the hydrochemical characteristics of water contribute to increasing the automation of water quality monitoring processes.
18 June 2014 in Collection of Scientific Publications NUS
Наведено тривимірну математичну модельпроцесу очистки дисперсних багатофазних потоків, що базується на рівняннях моделей напружень та аналогії Рейнольдса переносу теплоти і маси до переносу імпульсу, нерозривності, рівнянні динаміки балансу сил при русі частинки з умовами однозначності. Визначення інтенсивності процесу очистки за результатами розв’язання виконується за комплексним показником, який враховує принципи масообмінного, гідродинамічного та енергетичного аналізу. Отримане значення показників інтенсивності процесів очистки використовується для обґрунтування технологій у системах енергетичних установок.
1 December 2022 in Journal of Applied Engineering Sciences
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25 September 2014 in Collection of Scientific Publications NUS
The study aims to develop an information-computing complex for computer design of a centrifugal compressor with parallel calculation of stages and optimization of the geometric parameters of the impellers and the diffusers. The paper presents a universal methodology and computerized information system of the main geometry parameter determination and optimization of the centrifugal compressor impellers and vanned diffusers. Optimization of cross-sectional areas of the input and output channels of the impeller and diffuser blade channels is held using a gradient descent method by gas flowrate quadratic integral deviation criteria. The information-computing complex is built on the algorithm proposed by the authors and implemented as a computer program with a human-machine interface. Calculation data are written in the form of numerical arrays with the possibility of interpolating data and obtaining graphical dependencies.
22 June 2017 in Eastern-European Journal of Enterprise Technologies
We performed modeling of the processes of destruction during recycling of rubber-technical waste in line with the technology of multi-contour circulation pyrolysis. The purpose of the present study is to develop a mathematical model for the process of thermal recycling of rubber-technical waste in line with the technology of multi-contour circulation pyrolysis. We developed a scheme of destructive transformations of the starting mass of waste, taking into account kinetics of the process of thermal decomposition of rubber and material flows of the formed phases in the equipment. We constructed a mathematical model of kinetic regularities and of the rate of destruction of rubber-technical waste depending on the concentration of original and resulting components. Kinetic parameters and the reaction rate are used for subsequent modeling of the recycling process and for determining the end products of waste decomposition. Result of present research and theoretical modeling is the calculations of the concentration of gaseous and condensed substances – products of thermal decomposition of the original mass of waste, formed in the range of 450–600 °С. Application of the given model is necessary when optimizing temperature modes of the equipment. The use of the model might be promising while creating industrial plants with a set productivity. It could also provide the possibility of recycling of different types of organic waste and their mixtures in line with the technology of multi-contour circulation pyrolysis.Modeling that was performed justifies the reasons and foundations to control the process of repeated condensation and recirculation of heavy condensed flows of vapor and gas mixture. Therefore, if one knows the original composition of vapor and gas mixture from the reactor, it is possible to optimize cooling temperatures in contours to obtain the end product of required quality.