Probabilistic Seismic Risk Evaluation of the City of Los Angeles Water System Pipeline Network
Publication: Lifelines 2022
ABSTRACT
To develop seismically resilient water systems, it is essential that the damage potential of a pipeline system be quantified for future earthquakes. In this study, a large stochastic catalog of earthquake simulations that adapt the Uniform California Earthquake Rupture Forecast Version 3 (UCERF3) model was used to represent the regional seismicity of the Los Angeles Basin. Random event footprints for earthquake simulations were constructed by utilizing the NGA West 2 ground motion models. This set of earthquake simulations was utilized to evaluate system-level consequences for the City of Los Angeles water pipeline network, measured by the total number of pipeline repairs and subsequent repair costs and times due to strong ground shaking and ground deformations. These estimates of damage and impact were based on empirical pipeline fragility models and restoration data from two past events that affected the water system in the past (1971 San Fernando and 1994 Northridge earthquakes). System-level performance was then evaluated at various targeted probability levels and influential seismic sources were identified. This study was performed as part of a long-term program administered by the City of Los Angeles Department of Water and Power to quantify and ultimately enhance the seismic resilience of all city trunklines and distribution pipelines.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Davis, C. A., O’Rourke, T. D., Adams, M. L., and Rho, M. A. (2012). Case Study: Los Angeles Water Services Restoration Following the 1994 Northridge Earthquake, Proc., 15th World Conf. on Earth. Eng., Lisbon, Portugal.
Davis, C. (2018). Applying Performance Based Seismic Design to Create Resilient Lifeline Systems. Proc., 11th National Conf. on Earth. Eng., June 28, 2018, Los Angeles.
Field, E. H., et al. (2014). Uniform California Earthquake Rupture Forecast, Version 3 (UCERF3) - The Time‐Independent Model; Bull. of the Seismo. Soc. of Am., Vol. 104 (3), 2014.
Gearhart, J., et al. (2019). Optimization-based Probabilistic Consequence Scenario Construction for Lifeline Systems. Earthquake Spectra, Vol 30, No. 4, 2014.
Han, Y., and Davidson, R. A. (2012). Probabilistic seismic hazard analysis for Spatially Distributed infrastructure. Earth. Eng. Struct. Dyn. Vol. 41, No. 15, 2012.
Honegger, D. G., and Eguchi, R. T. (1992). Determination of Relative Vulnerabilities to Seismic Damage for San Diego County Water Authority Water Transmission Pipelines.
Isenberg, J. (1979). Role of Corrosion in Water Pipeline Performance in Three U.S. Earthquakes, Proc., the 2nd U.S. National Conf. on Earth. Eng., Stanford University, Standford, CA.
Ishihara, K., and Yoshimine, M. (1992). Evaluation of Settlements in Sand Deposits Following Liquefaction during Earthquakes. Soils and Foundations, Vol. 32, No. 1, 173-188, 1992.
Jayaram, J., and Baker, J. (2010). Probabilistic Seismic Lifeline Risk Assessment Using Efficient Sampling and Data Reduction Techniques., Stanford University.
Lee, Y. (2018). Catastrophe loss modeling through Robust Simulation. Proc., the Eleventh U.S. National Conference on Earth. Eng., June 25-29, 2018, Los Angeles, California.
Lee, Y., Graf, W. P., and Hu, Z. (2018). Characterizing the Logic Tree Distribution in the USGS 2014 National Seismic Hazard Mapping Project (NSHMP). Bull. of Seismo. Soc. of Am., Vol. 108, No. 3A, 1465–1480.
Loth, C., and Baker, J. W. (2013). A spatial cross-correlation model of spectral accelerations at multiple periods. Earth. Eng. Struct. Dyn. 2013; 42:397–417.
Lund, L. V. (1995). Study of Damage Caused by the Northridge Earthquake, January 17, 1994.
Moss, R. E. S., and Ross, Z. E. (2011). Probabilistic Fault Displacement Hazard Analysis for Reverse Faults. Bull. of the Seismo. Soc. of Am., Vol. 101, No. 4, 1542–1553.
PEER. (2013). NGA West2 Product: https://peer.berkeley.edu/research/nga-west-2/final-products.
Petersen, M., Dawson, T., et al. (2011). Fault Displacement Hazard for Strike‐Slip Faults, Bull. of the Seismo. Soc. of Am., Vol. 101, No. 2, 805–825.
Porter, K. A., Terentief, S., McMullin, R., and Irias, X. (2017). Water supply damage, recovery, and lifeline interaction in an earthquake sequence. Proc. First Congress on Technical Advancement, Sept 10-13, 2017, Duluth, MN, American Society of Civil Engineers.
Porter, K. A. (2018). A new model of water-network resilience, with application to the HayWired Scenario. US Geological Survey, Reston VA.
Rathje, E., and Saygili, G. (2009). Probabilistic assessment of earthquake-induced sliding displacements of natural slopes. Bull. Of the New Zealand Soc. For Earth. Eng., V42 (1).
USGS and California Geological Survey. (2006). Quaternary Fault and Fold Database for the United States: https://earthquake.usgs.gov/hazards/qfaults/.
Taylor, C. E. (1995). Seismic Loss Estimates for a Hypothetical Water System – A Demonstration Project., ASCE.
Trifunac, M. D. (1976). A note on the range of peak amplitudes of recorded accelerations, velocities, and displacements with respect to the Modified Mercalli Intensity scale, Earthquake Notes 47, 9–24.
Wills, C. J., Gutierrez, C. I., Perez, F. G., and Branum, D. M. (2015). A Next Generation VS30 Map for California Based on Geology and Topography. Bull. of Seismo. Soc. of Am., 105(6).
Youd, T. L., Hansen, C. M., and Bartlett, S. F. (2002). Revised Multilinear Regression Equations for Prediction of Lateral Spread Displacement. J. Of Geotech. And Geoenv. Eng., 128:12.
Information & Authors
Information
Published In
History
Published online: Nov 16, 2022
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.