Impact database application for natural and technological risk management
<p>Impact database development and application for risk analysis and management promote the usage of self-learning computer systems with elements of artificial intelligence. Such system learning could be successful when the databases store the complete information about each event, parameters...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-01-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://www.nat-hazards-earth-syst-sci.net/20/95/2020/nhess-20-95-2020.pdf |
| _version_ | 1819134647314939904 |
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| author | N. Frolova V. Larionov J. Bonnin S. Suchshev A. Ugarov N. Malaeva |
| author_facet | N. Frolova V. Larionov J. Bonnin S. Suchshev A. Ugarov N. Malaeva |
| author_sort | N. Frolova |
| collection | DOAJ |
| description | <p>Impact database development and application for risk analysis and management promote the usage of self-learning computer systems with elements of artificial intelligence. Such system learning could be successful when the databases store the complete information about each
event, parameters of the simulation models, the range of its application, and residual errors. Each new description included in the database could
increase the reliability of the results obtained with application of
simulation models. The calibration of mathematical models is the first step
to self-learning of automated systems. The article describes the events'
database structure and examples of calibrated computer models as applied to the impact of expected emergencies and risk indicator assessment. Examples of database statistics usage in order to rank the subjects of the Russian Federation by the frequency of emergencies of different character as well as risk indicators are given.</p> |
| first_indexed | 2024-12-22T10:06:31Z |
| format | Article |
| id | doaj.art-a9156c1d582447f0b6ae09b88e921803 |
| institution | Directory Open Access Journal |
| issn | 1561-8633 1684-9981 |
| language | English |
| last_indexed | 2024-12-22T10:06:31Z |
| publishDate | 2020-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Natural Hazards and Earth System Sciences |
| spelling | doaj.art-a9156c1d582447f0b6ae09b88e9218032022-12-21T18:29:56ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812020-01-01209510610.5194/nhess-20-95-2020Impact database application for natural and technological risk managementN. Frolova0V. Larionov1J. Bonnin2S. Suchshev3A. Ugarov4N. Malaeva5Seismological Center of IGE, Russian Academy of Sciences, Moscow, 101000, RussiaSeismological Center of IGE, Russian Academy of Sciences, Moscow, 101000, RussiaInstitut de Physique du Globe, University of Strasbourg, Strasbourg, 67084, FranceExtreme Situations Research Center, Moscow, 127015, RussiaExtreme Situations Research Center, Moscow, 127015, RussiaExtreme Situations Research Center, Moscow, 127015, Russia<p>Impact database development and application for risk analysis and management promote the usage of self-learning computer systems with elements of artificial intelligence. Such system learning could be successful when the databases store the complete information about each event, parameters of the simulation models, the range of its application, and residual errors. Each new description included in the database could increase the reliability of the results obtained with application of simulation models. The calibration of mathematical models is the first step to self-learning of automated systems. The article describes the events' database structure and examples of calibrated computer models as applied to the impact of expected emergencies and risk indicator assessment. Examples of database statistics usage in order to rank the subjects of the Russian Federation by the frequency of emergencies of different character as well as risk indicators are given.</p>https://www.nat-hazards-earth-syst-sci.net/20/95/2020/nhess-20-95-2020.pdf |
| spellingShingle | N. Frolova V. Larionov J. Bonnin S. Suchshev A. Ugarov N. Malaeva Impact database application for natural and technological risk management Natural Hazards and Earth System Sciences |
| title | Impact database application for natural and technological risk management |
| title_full | Impact database application for natural and technological risk management |
| title_fullStr | Impact database application for natural and technological risk management |
| title_full_unstemmed | Impact database application for natural and technological risk management |
| title_short | Impact database application for natural and technological risk management |
| title_sort | impact database application for natural and technological risk management |
| url | https://www.nat-hazards-earth-syst-sci.net/20/95/2020/nhess-20-95-2020.pdf |
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