Iatsyshyn A. Comprehensive assessment and management of environmental safety in air pollution

Українська версія

Thesis for the degree of Doctor of Science (DSc)

State registration number

0513U000664

Applicant for

Specialization

  • 21.06.01 - Екологічна безпека

13-06-2013

Specialized Academic Board

Д 26.192.01

State Institution "The Institute of Environmental Geochemistry of National Academy of Sciences of Ukraine"

Essay

The thesis is formulated and solved a major scientific and applied problems of complex evaluation of the pollution of the surface air of natural and industrial and urban areas in the problems of ecological safety management at the regional level, which is realized by designing and creating software and simulation industry. Zaprponovano new cycle-algorithmic approach to integrated assessment and forecasting of air pollution, which, unlike existing account clear feedback and uncertainty about many of the major factors of environmental monitoring parameters: population density, building characteristics, ruggedness of terrain types landscape. A number of structural and information models, providing the management system of ecological security, you can describe the structural components and information links between them, increases processing efficiency output. We got further development of methods for modeling air pollution and the risks of its impact on the population using modern GIS technology, which makes it possible to present environmental information in cartographic and graphic form suitable for decision-making. Received further development of database structure for environmental monitoring, based on the proposed structural model and information management system of ecological security, which is used for the verification of mathematical models of the processes of air pollution, improved network design or observation posts and more. The approbation of complex modeling software and in the case of objects Kiev metropolitan area and some regions of Ukraine, received correspondence (with a relative error of 20%) between modeled and field data.

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