Abstract
Quantitative risk assessment for energy technology has become a task of high priority in view of the urgent need for the promotion of nuclear power and incomplete knowledge of low-probability/high-consequence nuclear plant accidents. Statistical and probabilistic methods constitute the exclusive analysis tool for energy related risk assessment because of the limited experience with nuclear technology and the complex nature of the biological effects of energy related pollutants. A simple model has been developed for quantitative assessment of risk associated with energy systems based on both fossil and nuclear fuels. A critical review of the statistical and probabilistic methods used for the quantification of risk is presented with particular reference to dose-effect relationships for stochastic biological effects, risk assessment for multiple parameters, quantification of probability for catastrophic events and approach to optimization for acceptable risk and decision making.
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References
Bernard L. Cohen, Cancer Risk from Low Level Radiation, Health Physics, 39:659 (1980).
U.S. Committee on Biological Effects of Ionizing Radiations, The Effects on Populations of Exposure to Low Levels of Ionizing Radiations, Beir Report (1972).
International Commission on Radiological Protection, ICRP Report 26, Annals of the ICRP, I, 3, Pergamon (1977).
J. H. Pickles, Mortality and Pollution: Error Analysis for a Cross Sectional Study, Health Impacts of Different Sources of Energy, IAEA, Vienna (1982).
U.S. Nuclear Regulatory Commission, Reactor Safety Study: An Assessment of Accident Risks in U.S. Commercial Nuclear Power Plants, WASH-1400, NUREG-75/014 (October 1975).
U.S. Nuclear Regulatory Commission, Risk Assessment Review Group Report, NUREG/CR-0400 (1978).
U.S. Nuclear Regulatory Commission, Safety Goals for Nuclear Plants: A Discussion Paper, NUREG-0880 (1982).
A. Kaufman, D. Grouchko, and R. Cruon, Mathematical Models for the Study of the Reliability of Systems, Academic Press, New York (1977).
N. R. Mann, R. E. Schafer, and N. D. Singpurwalla, Methods for Statistical Analysis of Reliability and Life Data, John Wiley and Sons, New York (1974).
Stanley Kaplan and B. J. Garrick, On the Quantitative Definition of Risk, Risk Analysis, 1:11 (1981).
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© 1984 Springer Science+Business Media New York
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Vohra, K.G. (1984). Statistical Methods of Risk Assessment for Energy Technology. In: Waller, R.A., Covello, V.T. (eds) Low-Probability High-Consequence Risk Analysis. Advances in Risk Analysis, vol 2. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-1818-8_13
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DOI: https://doi.org/10.1007/978-1-4757-1818-8_13
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-1820-1
Online ISBN: 978-1-4757-1818-8
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