Urban or regional disaster bearing capacity mainly depends on the
disaster bearing capacity of lifeline systems. In the analysis of disaster
bearing capacity evaluation of lifeline system, we should not only investigate
the complexity, balance and reliability of network characteristics, but also
consider the relation between each subsystem. A new brittleness entropy of city
disaster vulnerability associated coupling analysis method is proposed based on
the brittleness of complex system theory. Correlation characteristics are
reflected and evaluated in the brittle link entropy and the whole lifeline
system, and then the vulnerability of city lifeline system can be quantified in
flood scenarios. As a result of the coupling analysis and calculation, power
system has the greatest effect among other subsystems. Because the key factors
and influence of water supply system are uncertainties, the water supply system
work or supply should be restored first after the disaster. The results show
that the method can provide the basis for the optimization of system management,
and control the repair work after disaster and coordination between subsystems.
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Shinozuka, M., Chang, S.E., Eguchi, R.T., Abrams, D.P., Hwang, H.H.M. and Rose, A. (1997) Advances in Earthquake Loss Estimation and Application to Memphis, Tennessee. Earthquake Spectra, 13, 739-758. http://dx.doi.org/10.1193/1.1585978
O’rourke, T.D., Wang, Y. and Shi P.X. (2004) Advances in Lifeline Earthquake Engineering. Proceedings of 13th World Conference of Earthquake Engineering, Vancouer, 1-6 August 2004, 432-458.
Lindsay, J. (2003) The Determinants of disaster vulnerability Achieving Sustainable Mitigation through Population Health. Natural Hazards, 28, 291-304.
Wang, S., Wang Y., Feng J.W. and Du, C. (2012) Complex System Important Node Collapse Control Based on Constraint Entropy. China Safety Science Journal, 5, 10-16.
Xu, L.Z., Li, X.F. and Yang, S.X. (2011) Intelligent Information Processing and System Optimization. Intelligent Automation and Soft Computing, 17, 829-833. http://dx.doi.org/10.1080/10798587.2011.10643191
Li, S.F., Yu, P. and Sun, S.H. (2010) Entropy Weight Based Fuzzy Matter Element Model for Evaluating and Zoning of Regional Flood Disaster Vulnerability. Journal of Natural Disasters, 19, 124-131.
Huang, W., Zhang, X.N., Zhang, W.T. and Wei. X.D. (2011) An Improved Contract Net Protocol with Multi-Agent for Reservoir Flood Control Dispatch. Journal of Water Resource and Protection, 3, 735-746. http://dx.doi.org/10.4236/jwarp.2011.310084
Menoni, S. (2011) Chains of Damages and Failures in a Metropolitan Environment: Some Observations on the Kobe Earthquake in 1995. Journal of Hazardous Materials, 86, 101-119.
