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This chapter delves into the innovative development and assessment of environmental monitoring systems and atmospheric modeling concerning power engineering facilities. Emphasizing the pivotal role of unmanned aerial vehicles (UAVs) and unmanned aerial systems (UAS), alongside advanced mathematical and statistical models, this research aims to enhance the accuracy, efficiency, and reliability of environmental impact assessments on air quality, particularly concerning radioactive aerosol propagation and deposition. Authors contribute to a multidimensional analysis that focuses on: (1) developing a new class of environmental monitoring systems leveraging UAV technology for dynamic air quality data collection around power engineering facilities; (2) evaluating mathematical models for atmospheric transport of radionuclides, including vector random field models, Gaussian models, and integral models, to accurately predict the environmental and public health impacts of radioactive releases; (3) innovating “in-situ” experimentation methodology using UAS equipped with filter injection devices for direct and reverse problem-solving in radioactive aerosol concentration determination; (4) enhancing information support within environmental monitoring systems through comprehensive analysis of their structure, function, and life cycle stages, aimed at improving system reliability and effectiveness. The research spans theoretical, simulation, and experimental studies, intending to mitigate the environmental ramifications of power engineering facilities over an expected timeframe. Key environmental parameters monitored include radionuclide distribution in the atmosphere and their deposition, encompassing essential environmental dynamics such as wind speed variations, turbulent diffusion, and gravitational deposition. This chapter underscores the necessity for accurate models and systems in environmental monitoring, providing crucial insights for designing, implementing, and modernizing such systems to ensure minimal human health and environmental impact while addressing the challenges of traditional monitoring methods.

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Tasks for Creating the Environmental Monitoring Systems for Energy Objects

  • 章节

  • 发表日期：

    2025年

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  • Vitalii Babak,
  • Sergii Babak,
  • Artur Zaporozhets

摘要

This chapter delves into the innovative development and assessment of environmental monitoring systems and atmospheric modeling concerning power engineering facilities. Emphasizing the pivotal role of unmanned aerial vehicles (UAVs) and unmanned aerial systems (UAS), alongside advanced mathematical and statistical models, this research aims to enhance the accuracy, efficiency, and reliability of environmental impact assessments on air quality, particularly concerning radioactive aerosol propagation and deposition. Authors contribute to a multidimensional analysis that focuses on: (1) developing a new class of environmental monitoring systems leveraging UAV technology for dynamic air quality data collection around power engineering facilities; (2) evaluating mathematical models for atmospheric transport of radionuclides, including vector random field models, Gaussian models, and integral models, to accurately predict the environmental and public health impacts of radioactive releases; (3) innovating “in-situ” experimentation methodology using UAS equipped with filter injection devices for direct and reverse problem-solving in radioactive aerosol concentration determination; (4) enhancing information support within environmental monitoring systems through comprehensive analysis of their structure, function, and life cycle stages, aimed at improving system reliability and effectiveness. The research spans theoretical, simulation, and experimental studies, intending to mitigate the environmental ramifications of power engineering facilities over an expected timeframe. Key environmental parameters monitored include radionuclide distribution in the atmosphere and their deposition, encompassing essential environmental dynamics such as wind speed variations, turbulent diffusion, and gravitational deposition. This chapter underscores the necessity for accurate models and systems in environmental monitoring, providing crucial insights for designing, implementing, and modernizing such systems to ensure minimal human health and environmental impact while addressing the challenges of traditional monitoring methods.