Impact database application for natural and technological risk management
作者: Nina FrolovaValery LarionovJean BonninSergey SuchshevAlexander UgarovNataliya Malaeva
作者单位: 1Seismological Center of IGE, Russian Academy of Sciences, Moscow,101000, Russia
2Institut de Physique du Globe, University of Strasbourg, Strasbourg, 67084, France
3Extreme Situations Research Center, Moscow, 127015, Russia
刊名: Natural Hazards and Earth System Sciences, 2020, Vol.20 (1), pp.95-106
来源数据库: Copernicus Journal
DOI: 10.5194/nhess-20-95-2020
原始语种摘要: 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 eachevent, parameters of the simulation models, the range of its application, and residual errors. Each new description included in the database couldincrease the reliability of the results obtained with application ofsimulation models. The calibration of mathematical models is the first stepto 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...
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  • database 资料库
  • application 申请
  • intelligence 智能
  • computer 电子计算机
  • learning 学识
  • store 记亿设备
  • management 管理
  • mathematical 数学的
  • usage 使用率
  • artificial 人为的