Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on Integrity and Lifetime in Extreme Environment, ILEE 2019

Год издания: 2019

Идентификатор DOI: 10.1016/j.prostr.2019.12.129

Ключевые слова: Social-natural-technogenic system, Sustainable Development, Technosphere, Risk of emergency

Аннотация: The presentation of an industrial region as a unified socio-natural-technogenic (S-N-T) system in which various risk groups are formed and implemented is proposed. Detailed attention is paid to the technosphere subsystem. The paper defines the basic risks of the technosphere, presents the probability of an emergency in the Russian Federation, allowing to calculate the risks for various municipalities. The results of systematization and graphical-probabilistic representation of sources and factors causing accidents and man-made disasters in the Krasnoyarsk territory are presented. The results of the emergency risk in the Krasnoyarsk territory for various reasons. The results of emergencies risks on the Krasnoyarsk territory were obtained. The highest value is 8·10-3-the emergencies risk on land transport, the lowest value is obtained for the occurrence of emergencies on the main oil pipelines 4,3·10-7. Determination of probabilities by the main sources of anthropogenic emergencies allows unifying the risk assessment methodology and improving the management efficiency of territorial S-N-T systems (Preventing the occurrence and development of emergency situations, reducing damage and losses in case of their occurrence, increasing the stability and safety of facilities in emergency situations). © 2019 The Authors. Published by Elsevier B.V.

Журнал: Procedia Structural Integrity

Выпуск журнала: Vol. 20

Номера страниц: 136-142

ISSN журнала: 24523216

Издатель: Elsevier B.V.

• Ivanova U.S. (Institute of Computational Technologies SB RAS, Kra. Br. of., Mira Av., 53, Krasnoyarsk, 660049, Russian Federation, Siberian Federal University Krasnoyarsk, Svobodny Av., 79, Krasnoyarsk, 660041, Russian Federation)
• Taseiko O.V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av., 31, Krasnoyarsk, 660037, Russian Federation, Institute of Computational Modeling, SB RAS, Academgorodok Str., 50, Krasnoyarsk, 660036, Russian Federation)
• Chernykh D.A. (Institute of Computational Technologies SB RAS, Kra. Br. of., Mira Av., 53, Krasnoyarsk, 660049, Russian Federation, Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av., 31, Krasnoyarsk, 660037, Russian Federation)
• Lepov V.V.Rousakis T.Samuel B.M.

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