Author 1:
Name & Surname: Ivashchuk O. A.
Company: Belgorod State National Research University (Belgorod, Russia)
Work Position: Professor
Scientific Degree: Doctor of Engineering Sciences
Contacts: olga.ivashuk@mail.ru

Author 2:
Name & Surname: Konstantinov I. S.
Company: Belgorod State National Research University (Belgorod, Russia)
Work Position: Professor
Scientific Degree: Doctor of Engineering Sciences

The present-day regional environmental control widely uses automation equipment. Nonetheless, no cardinal improvement of ecological situation is observed in the areas under automated monitoring with state-of-the-art equipment and advanced geoinformation aerospace technologies (e.g., International Air Quality, Black Triangle). This is in many ways related with the fact that these systems, though efficient in data capture and adequate valuation of current status of natural environment, offer a very feeble analytical support in decision-making on control actions. Mainly, such a system is to maintain databases and transfer eco-data to parties concerned. Improvement of automated systems only deals with techniques: expansion of stations, engineering and introduction of advanced facilities and metrological provision, development of remote control and observation methods. However, current biotechnosphere dynamics forecasting, situation modeling and development of potential control scenarios are in a state of neglect. This extremely complicates conversion of the acquired eco-information in immediate managerial decisions on prevention and mitigation of ecological risk, as well as on using the eco-data in strategic planning of industrial development in a region based on compatibility with biosphere. The authors put forward a version of automated environmental control system for mining-and-metallurgy cluster based on integration of three intelligent subsystems: ecomonitoring, managerial decision-making support and control.

The study was conducted under government order in the field of scientific work under project No. 671 “Development of Intelligent Technology for Monitoring and Forecasting of Induced Ecological Risks, and for Regional Technosphere Safety Control” (customer—RF Ministry of Education and Science).

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