Abstract
In the course of many crises (e.g. the finance and bank crises), wars, terror and the climate change, risk analysis has become one of the most discussed topics, not only in scientific circles. Especially, after the Fukushima disaster, the quality of traditional risk analysis has become doubtful. As known today, when the nuclear power plant at Fukushima was planned in the 1960s, the design was based on an unreliable risk analysis and also the regular controls under the supervision of the IAEA did not lead to any changes. Motivated by the Fukushima disaster, the risk of tsunamis is taken in this paper as an example to illustrate a risk analysis of high quality. Although it is performed only as an example, it shows how one has to proceed to get reliable and accurate prediction and measurement procedures as a basis for making appropriate decisions whenever risks are involved.
© 2013 by Walter de Gruyter Berlin Boston
Artikel in diesem Heft
- Masthead
- Masthead
- The Kumaraswamy Exponentiated Pareto Distribution
- Sequential Test for Poisson Distribution under Measurement Error
- Measurement Error Effect on the Power of Control Chart for the Ratio of Two Poisson Distributions
- The Bivariate Confluent Hypergeometric Series Distribution and Some of Its Properties
- Availability of a k-out-of-N:F System with Generally Distributed Repair Time and Preventive Maintenance
- Empirical Likelihood Based Control Charts
- Reliable Risk Analysis on the Example of Tsunami Heights
- An Application of EM Test for the Bayesian Change Point Problem
Artikel in diesem Heft
- Masthead
- Masthead
- The Kumaraswamy Exponentiated Pareto Distribution
- Sequential Test for Poisson Distribution under Measurement Error
- Measurement Error Effect on the Power of Control Chart for the Ratio of Two Poisson Distributions
- The Bivariate Confluent Hypergeometric Series Distribution and Some of Its Properties
- Availability of a k-out-of-N:F System with Generally Distributed Repair Time and Preventive Maintenance
- Empirical Likelihood Based Control Charts
- Reliable Risk Analysis on the Example of Tsunami Heights
- An Application of EM Test for the Bayesian Change Point Problem