Natural Disaster Risk Assessment: Theory and Practice

Author: Huang Chongfu
Publisher:
Publish Date: 2005-01-01
Features: This book discusses the basic theories of natural disaster risk assessment, introduces the theories and models of natural disaster risk assessment under incomplete information conditions, and provides detailed examples of model applications. The basic theories cover the nature of risk, the fundamental principles of natural disaster risk analysis, probabilistic and statistical methods for risk assessment, and fuzzy system methods for risk analysis. The theories of natural disaster risk assessment under incomplete information conditions include the information matrix framework, information allocation methods, information diffusion principles, and normal information diffusion. Natural disaster risk assessment models based on information diffusion technology include: fuzzy relation construction models, hybrid fuzzy artificial neural network models, systems analysis models, and inner-set-outer-set models, etc. Application examples include seismic intensity identification, seismic damage prediction, seismic damage area estimation, flood risk assessment, and disaster reduction program selection, etc. This book uses computer simulation technology to demonstrate the reliability of the relevant models. This book is suitable for senior undergraduate and graduate students, researchers, and engineers in fields such as regional planning, land consolidation, earthquake engineering, meteorology, geography, water conservancy, agriculture, forestry, civil affairs, and insurance. It can also serve as a reference for experts in financial risk analysis and safety technology research, as well as for technical officials in government disaster reduction management departments.