Preview

Issues of Risk Analysis

Advanced search
Open Access Open Access  Restricted Access Subscription or Fee Access

Methods and Models for Risk Assessment of Natural and Technical Systems

EDN: XUJHUH

Abstract

The purpose of the study is to develop effective methods for quantitative risk assessment in conditions of increasing complexity of technical systems and increasing the negative impact of natural factors.

The article presents a comprehensive analysis of modern methodological approaches to assessing the risk of natural and technical systems. Theoretical and practical aspects of emergency forecasting are considered. The existing methodological approaches to risk research were systematized, as a result of which four key groups were identified: theoretical, statistical, heuristic and complex. Advantages and disadvantages of each approach are analyzed in detail, a typology of risk assessment methods is presented, including computational-analytical, statistical and expertassessment methods.

About the Authors

E. A. Efimenko
Murmansk Arctic University
Russian Federation

Ekaterina A. Efimenko

Kapitana Egorova str., 15, Murmansk, 183038



E. A. Rumiantceva
Murmansk Arctic University
Russian Federation

Ekaterina A. Rumiantceva

Kapitana Egorova str., 15, Murmansk, 183038



References

1. Larionov V.I. Aleksandrov A.A., Sushchev S.P. Overview of methodological approaches to analysis of technological and natural risks // Electronic Scientific Journal Oil and Gas Business. 2021;(6):37–74. (In Russ.) https://doi.org/10.17122/ogbus-2021-6-37-74

2. Labinskiy A.Yu. The use of fuzzy logic in valuation of beginning probability of emergency // Scientific and Analytical Journal «Vestnik Saint-Petersburg University of State Fire Service of Emercom of Russia». 2017;(1):67-73. (In Russ.)

3. Ostreykovskiy V.A., Pavlov A.S. Mathematical models for estimating the technogenic risk of complex systems based on the Erlang distribution // Reliability and Quality of Complex Systems. 2016;(1):99–106. (In Russ.)

4. Ostreykovsky V.A. On some classes of quantitative risk assessment models in the theory of technogenic safety // Transactions of the International Symposium on Reliability and Quality. 2013;1:46-49. (In Russ.)

5. Ostreykovsky V.A. Mathematical modeling of technogenic risk from operation of oil and gas equipment // Proceedings in Cybernetics. 2012;(11):71-75. (In Russ.)

6. Ostreykovsky V.A., Pavlov A.S., Pogorelovsky M.A. Mathematical modeling of the technogenic risk of complex technical systems in the gamma distribution of probabilities of initiating events and damage // Reliability & Quality of Complex Systems. 2016;(2):85-96. (In Russ.)

7. Aleksandrov A.A., Larionov V.I., Sushchev S.P. Uniform methodology of the risk analysis of emergency situations of technogenic and natural character // Herald of the Bauman Moscow State Technical University. Series Natural Sciences. 2015;(1):113-132. (In Russ.)


Review

For citations:


Efimenko E.A., Rumiantceva E.A. Methods and Models for Risk Assessment of Natural and Technical Systems. Issues of Risk Analysis. 2025;22(6):46-55. (In Russ.) EDN: XUJHUH

Views: 15


ISSN 1812-5220 (Print)
ISSN 2658-7882 (Online)