Сибирский федеральный университет

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

Конференция: All-Russian Conference with International Participation "Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes", SDM 2021

Год издания: 2021

Ключевые слова: acceptable level of risk, hierarchical clustered analysis, k-means method, territorial risk

Аннотация: Models and assessment methods of anthropogenic risk are analyzed at this article, general basis of mathematical approach for risk analysis is disclosed. Based on multivariate statistic methods, algorithm of analysis for Siberian territories safety is formulated, it allows to define acceptable level of risk for each territorial group (cities with population density more than 70 000, towns with population less than 70 000, and municipals areas). © 2021 Copyright for this paper by its authors.

Журнал: CEUR Workshop Proceedings

Выпуск журнала: Vol. 3006

Номера страниц: 526-532

ISSN журнала: 16130073

Издатель: CEUR-WS

• Moskvichev V.V. (Krasnoyarsk Branch of the Federal Research Center for Information and Computational Technologies, Krasnoyarsk, Russian Federation, Siberian Federal University, Krasnoyarsk, Russian Federation)
• Postnikova U.S. (Krasnoyarsk Branch of the Federal Research Center for Information and Computational Technologies, Krasnoyarsk, Russian Federation, Siberian Federal University, Krasnoyarsk, Russian Federation)
• Taseiko O.V. (Krasnoyarsk Branch of the Federal Research Center for Information and Computational Technologies, Krasnoyarsk, Russian Federation, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation)

• Scopus
• Ядро РИНЦ (eLIBRARY.RU)