Journal of Risk Analysis and Crisis Response

Volume 7, Issue 3, October 2017, Pages 137 - 145

Time Limit of the Probabilistic Risk for Natural Disaster

Authors
Jun Guo, Chongfu Huang
Corresponding Author
Chongfu Huang
Received 14 June 2017, Accepted 21 July 2017, Available Online 2 October 2017.
DOI
https://doi.org/10.2991/jrarc.2017.7.3.4How to use a DOI?
Keywords
Natural disaster, Probabilistic risk, Time limit, Period of validity
Abstract
Since natural disaster risk is a feature of the future and is also dynamic, the result of probabilistic risk analysis for natural disaster has its own time limit. Considering that risk is for the future and meanwhile dynamic, the result of probabilistic risk analysis in natural disaster could just represent risk for a limited time, which is the timeliness of probabilistic risk. Besides, the length of the timeliness is just called the period of validity of probabilistic risk for natural disaster. Because the system of natural disaster risk is complex and comprehensive, the dynamics of natural disaster risk is caused by numerous reasons related to both natural and social environment and is with great uncertainty. Therefore, qualitative analysis could be a feasible method for the timeliness evaluation of probabilistic risk for natural disaster.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
7 - 3
Pages
137 - 145
Publication Date
2017/10/02
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
https://doi.org/10.2991/jrarc.2017.7.3.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Jun Guo
AU  - Chongfu Huang
PY  - 2017
DA  - 2017/10/02
TI  - Time Limit of the Probabilistic Risk for Natural Disaster
JO  - Journal of Risk Analysis and Crisis Response
SP  - 137
EP  - 145
VL  - 7
IS  - 3
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2017.7.3.4
DO  - https://doi.org/10.2991/jrarc.2017.7.3.4
ID  - Guo2017
ER  -