Journal of Risk Analysis and Crisis Response

Volume 2, Issue 2, August 2012, Pages 139 - 145

The Nature Event's Probabilistic Risk Assessment of Nuclear Power Plants with Improvements

Authors
Yan Chen, Chunming Zhang, Jianshe Chai
Corresponding Author
Yan Chen
Received 31 December 2011, Accepted 14 March 2012, Available Online 1 August 2012.
DOI
10.2991/jracr.2012.2.2.7How to use a DOI?
Keywords
PRA, risk assessment of nature disaster, hazard analysis, fragility evaluation.
Abstract

Probabilistic risk assessment is the systematic and comprehensive methodology to evaluate the risk of nuclear power plants. Currently some aspects, which are the hazard analysis and fragility evaluation in the probabilistic risk assessment of natural events in nuclear power plants need to be improved. This paper introduces the principle of risk assessment of the nature disaster, and studies the relations between the two risk analysis methods, and finally discusses the application of the technologies, which are the hazard factor, vulnerability analysis, loss risk and risk zone map in the nature disaster’s risk assessment, in the nature event PRA of nuclear power plants.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
2 - 2
Pages
139 - 145
Publication Date
2012/08/01
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
10.2991/jracr.2012.2.2.7How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Yan Chen
AU  - Chunming Zhang
AU  - Jianshe Chai
PY  - 2012
DA  - 2012/08/01
TI  - The Nature Event's Probabilistic Risk Assessment of Nuclear Power Plants with Improvements
JO  - Journal of Risk Analysis and Crisis Response
SP  - 139
EP  - 145
VL  - 2
IS  - 2
SN  - 2210-8505
UR  - https://doi.org/10.2991/jracr.2012.2.2.7
DO  - 10.2991/jracr.2012.2.2.7
ID  - Chen2012
ER  -