Journal of Risk Analysis and Crisis Response

Volume 2, Issue 1, May 2012, Pages 61 - 68

A Method for Assessing Risk Rating of Natural Gas Pipeline Based on Accident Statistics

Authors
Xiaoyuan Xu, Xuanya Liu, Ge Guo, Chao Ji
Corresponding Author
Xiaoyuan Xu
Received 19 January 2012, Accepted 12 March 2012, Available Online 1 May 2012.
DOI
10.2991/jracr.2012.2.1.7How to use a DOI?
Keywords
Accident statistics, Natural gas pipeline, Risk assessment, Risk matrix
Abstract

This article collected 199 cases of domestic natural gas pipeline leakage accidents, and used the mathematical methods and SPSS statistical analysis software to analysis these accident cases. Based on the analysis of accidents statistics and disaster reduction factors, the natural gas pipeline risk rating assessment method based on accident statistics was proposed according to Risk value method and Risk matrix analysis. Taking the gas pipelines in a certain city for example, the risk grade of the pipeline was analyzed by the method proposed in this article, and more rigorous and effective measures to reduce the pipeline risk were proposed.

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 - 1
Pages
61 - 68
Publication Date
2012/05/01
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
10.2991/jracr.2012.2.1.7How 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  - Xiaoyuan Xu
AU  - Xuanya Liu
AU  - Ge Guo
AU  - Chao Ji
PY  - 2012
DA  - 2012/05/01
TI  - A Method for Assessing Risk Rating of Natural Gas Pipeline Based on Accident Statistics
JO  - Journal of Risk Analysis and Crisis Response
SP  - 61
EP  - 68
VL  - 2
IS  - 1
SN  - 2210-8505
UR  - https://doi.org/10.2991/jracr.2012.2.1.7
DO  - 10.2991/jracr.2012.2.1.7
ID  - Xu2012
ER  -