Quantitative risk analysis of urban natural gas pipeline networks using geographical information systems

Journal of Loss Prevention in the Process Industries

Volumn 26, Issue 6, 2013, Pages 1183-1192

  Ma, Lei ^a   Cheng, Liang ^a   Li, Manchun ^a  

^a NANJING UNIVERSITY   (China)

Author keywords

Geographic information systems; Natural gas pipeline network; Quantitative risk analysis

Indexed keywords

ACCIDENTS; FAILURE ANALYSIS; GASES; GEOGRAPHIC INFORMATION SYSTEMS; HUMAN RESOURCE MANAGEMENT; INFORMATION SYSTEMS; NATURAL GAS; NATURAL GAS PIPELINES; PIPELINES; RISK ASSESSMENT;

ACCIDENT CONSEQUENCES; CONSTRUCTION DEFECTS; EMPIRICAL FORMULAS; EXTERNAL INTERFERENCE; GAS PIPELINE NETWORKS; PIPELINE MANAGEMENT; QUANTITATIVE ANALYSIS MODEL; QUANTITATIVE RISK ANALYSIS;

RISK ANALYSIS;

EID: 84891649653     PISSN: 09504230     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jlp.2013.05.001     Document Type: Article

References (32)

1. API (American Petroleum Institute). (2003). Management of hazards associated with location of process plant buildings. APIRP 752 (2nd ed.). Washington, D.C: API.
2. Ba, T. (2009). Research on emergency response system of sudden air environmental pollution accident based on ArcGIS engine. Dalian: Dalian University of Technology.
3. Castanedo, S., Abascal, A. J., Medina, R., Fernandez, F., Liste, M., & Olabarrieta, M. (2009). Development of a GIS-based oil spill risk assessment system. Bremen: Oceans Conference.
4. Chen,W. K., & Qi, Y. C. (2010). Study on the building of the city gas pipeline network early warning system. 2010 IEEE 17th international conference on industrial engineering and engineering management, Xiamen, China.
5. China Safety Science Research Institute of Dangerous Chemicals Safety Institute of Technology. (2008). CASST-QRA software of quantitative area risk assessment for major hazard installation V1.0. Beijing.
6. CIA (Chemical Industries Association). (2003). Guidance for the location and design of occupied buildings on chemical manufacturing sites (2nd ed.). London: Chemical Industries Association, ISBN 1 85897 114 4.
7. Cozzani, V., Antonioni, G., & Spadoni, G. (2006). Quantitative assessment of domino scenarios by a GIS-based software tool. Journal of Loss Prevention in the Process Industries, 19(5), 463-477.
8. Dawotola, A. W., Trafalis, T. B., Mustaffa, Z., Van Gelder, P. H. A. J. M., & Vrijling, J. K. (2012). Risk based maintenance of a cross-country petroleum pipeline system. Journal of Pipeline Systems Engineering and Practice, http://dx.doi.org/10.1061/ (ASCE)PS.1949-1204.0000121.
9. Dawotola, A. W., Van Gelder, P. H. A. J. M., & Vrijling, J. K. (2012). Design for acceptable risk in transportation pipelines. International Journal of Risk Assessment and Management, 16(1-3), 112-127.
10. Ding, X. W., Wang, S. L., & Xu, G. Q. (1999). A review of studies on the discharging dispersion of flammable and toxic gases. Chemical Industry and Engineering, 16(2), 118-122.
11. Dong, Y. H., Gao, H. L., Zhou, J. E., & Feng, Y. R. (2002). Evaluation of gas release rate through holes in pipelines. Journal of Loss Prevention in the Process Industries, 15(6), 423-428.
12. European Gas Pipeline Incident Data Group. (2008). Gas pipeline incidents 7th report 1970-2007.
13. Gundogdu, I. B. (2010). Applying linear analysis methods to GIS-supported procedures for preventing traffic accidents: case study of Konya. Safety Science, 48(6), 763-769.
14. Han, Z. Y., & Weng, W. G. (2010). An integrated quantitative risk analysis method for natural gas pipeline network. Journal of Loss Prevention in the Process Industries, 23(3), 428-436.
15. HSE. (2010). Methods of approximation and determination of human vulnerability for offshore major accident hazard assessment. Health and Safety Executive.
16. Huang, X. M. (2004). Research of risk assessment on pipelines system for urban gas. Chongqing: Chongqing University.
17. ISMA (an IRMACO Group company). (2011 July). Explosion effects on buildings. International Safety & Risk Management Bureau. http://www.stuvex.com.
18. Jiang, J. P., Wang, P., Lung, W. S., Guo, L., & Li, M. (2012). A GIS-based generic realtime risk assessment framework and decision tools for chemical spills in the river basin. Journal of Hazardous Materials, 227, 280-291.
19. Jo, Y. D., & Ahn, B. J. (2005). A method of quantitative risk assessment for transmission pipeline carrying natural gas. Journal of Hazardous Materials, 123(1), 1-12.
20. Jo, Y. D., & Crowl, D. A. (2008). Individual risk analysis of high-pressure natural gas pipelines. Journal of Loss Prevention in the Process Industries, 21(6), 589-595.
21. Jonkman, S. N., Gelder, P. H. A. J. M., & Vrijling, J. K. (2003). An overview of quantitative risk measures for loss of life and economic damage. Journal of Hazardous Materials, 99(1), 1-30.
22. Lines, I. G., Deaves, D. M., & Atkins, W. S. (1997). Practical modelling of gas dispersion in low wind speed conditions, for application in risk assessment. Journal of Hazardous Materials, 54(3), 201-226.
23. Mark, O., Wennberg, C., Wennberg, T. V., Rabbi, F., & Albinsson, B. (1998). Risk analyses for sewer systems based on numerical modelling and GIS. Safety Science, 30(1), 99-106.
24. Mitas, L., & Mitasova, H. (1999). Spatial interpolation. Geographical information systems: Principles, techniques, management and applications (pp. 481). Wiley. http://www.colorado.edu/geography/class_homepages/geog_4203_s08/ readings/mitas_mitasova_1999_2005.pdf.
25. Montiel, H., Vilchez, J. A., Casal, J., & Arnaldos, J. (1998). Mathematical modeling of accidental gas releases. Journal of Hazardous Materials, 59, 211-233.
26. NFPA. (2007). Standard on flame-resistant garments for protection of industrial personnel against flash fire. NFPA 2112.
27. OGP (International Association of Oil & Gas Producers). (2010a). Risk assessment data directory: Major accidents. Report No. 434-17.
28. OGP (International Association of Oil & Gas Producers). (2010b). Risk assessment data directory: Vulnerability of humans. Report No. 434-14.1.
29. OGP (International Association of Oil & Gas Producers). (2010c). Risk assessment data directory: Vulnerability of plant/structure. Report No. 434-14.1.
30. Si, H., Ji, H., & Zeng, X. J. (2012). Quantitative risk assessment model of hazardous chemicals leakage and application. Safety Science, 50(7), 1452-1461.
31. Sun, Y. Q., Zhong, Q. P., & Zhang, Z. (2006). Calculation of failure results in risk evaluation of urban gas pipeline. Natural Gas Industry, 26(1), 120-122.
32. Yin, Y. L., Lin, G. L., Fu, C., & Chen, W. K. (2009). Study on the building of the gas pipeline network early warning system in Tianjin based on GIS. China Safety Science Journal, 19(6), 104-108.