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Recognition of Earthquake-Prone Areas for Seismic Hazard Evaluationстатья
- Авторы: Gvishiani Alexey, Dzeboev Boris, Nekhoroshev Stanislav
- Сборник: Disaster and Risk Research: GADRI Book Series
- Серия: In: Yokomatsu M., Hochrainer-Stigler S. (eds) Disaster Risk Reduction and Resilience
- Год издания: 2020
- Издательство: Springer Singapore
- Местоположение издательства: Singapore
- Первая страница: 9
- Последняя страница: 24
- DOI: 10.1007/978-981-15-4320-3_2
- Аннотация: Disaster maps are more and more used to prevent and reduce the concentration of exposure to potential hazards and future risks. We present a novel approach, the so-called Formalized Clustering And Zoning (FCAZ) which forms the maps of earthquake risks using pattern recognition of highly seismic zones. It is applied to the Andes Caucasus and other regions. FCAZ allows carrying out the recognition of significant, strong and strongest earthquake-prone areas based on a predefined set of earthquake epicenters in the studied region. FCAZ has rapidly become a new efficient systems analysis tool for recognition of the zones prone to the occurrence of earthquakes with a certain magnitude level. Furthermore, FCAZ possesses artificial intelligence elements. Two case studies show how areas where strong earthquakes may occur can be identified using FCAZ. These areas include the mountain belt of the Andes in South America and the Caucasus.
- Добавил в систему: Гвишиани Алексей Джерменович