Natural Hazards

, Volume 60, Issue 3, pp 1055–1063

Natural disaster management mechanisms for probabilistic earthquake loss

Original Paper

DOI: 10.1007/s11069-011-9889-2

Cite this article as:
Tseng, CP. & Chen, CW. Nat Hazards (2012) 60: 1055. doi:10.1007/s11069-011-9889-2

Abstract

High rates of urbanization, environmental degradation, and industrial development have affected all nations worldwide, but in disaster-prone areas, the impact is even greater serving to increase the extent of damage from natural catastrophes. As a result of the global nature of environmental change, modern economies have had to adapt, and sustainability is an extremely important issue. Clearly, natural disasters will affect the competitiveness of an enterprise. This study focuses on natural disaster management in an area in which the direct risks are posed by the physical effects of natural disasters such as floods, droughts, tsunamis, and rising sea levels. On a local level, the potential impact of a disaster on a company and how much damage (loss) it causes to facilities and future business are of concern. Each company must make plans to mitigate predictable risk. Risk assessments must be completed in a timely manner. Disaster management is also very important to national policy. Natural disaster management mechanisms can include strategies for disaster prevention, early warning (prediction) systems, disaster mitigation, preparedness and response, and human resource development. Both governmental administration (public) and private organizations should participate in these programs. Participation of the local community is especially important for successful disaster mitigation, preparation for, and the implementations of such measures. Our focus in this study is a preliminary proposal for developing an efficient probabilistic approach to facilitate design optimization that involves probabilistic constraints.

Keywords

Hazard analysis Dynamic financial analysis Risk control Computer-aided assessment 

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Chung Shan Institute of Science and TechnologyArmaments BureauTaoyuanTaiwan
  2. 2.Institute of Maritime Information and TechnologyNational Kaohsiung Marine UniversityKaohsiungTaiwan
  3. 3.Global Earth Observation and Data Analysis CenterNational Cheng Kung UniversityTainanR.O.C. Taiwan

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