Technical Papers
Jul 16, 2020

Hindcasting the Functional Loss and Restoration of the Napa Water System Following the 2014 Earthquake Using Discrete-Event Simulation

Publication: Journal of Infrastructure Systems
Volume 26, Issue 4

Abstract

Models that simulate postearthquake functional loss and restoration of water distribution systems support the development and implementation of more informed resilience-enhancing strategies. This study uses pipe damage, repair data, and a discrete-event simulation (DES) model to hindcast the water system damage and functional loss and restoration, following the 2014 South Napa earthquake. The DES model represents the water system as a set of entities (e.g., pipes, tanks, pumps) that interact through a sequence of events (e.g., earthquake damage, inspection) of variable duration that may be triggered at different points in time depending on the entity attributes (e.g., pipe vulnerability), access to resources (e.g., inspection crews), and the completion of other events. In addition to pipe damage and time-dependent inspection and repair processes, the DES model incorporates a pressure-driven analysis (PDA) that captures the restoration of water availability following the event. The tuned DES model is then used to simulate the postearthquake disruption and restoration of the City of Napa’s water supply for a Mw 6.7 event on the West Napa fault. By propagating the uncertainties in the damage to the network components (e.g., pipe) conditioned on the shaking intensity and the temporal (e.g., repair time) and resource-related (e.g., the number of inspection crews) variables, probabilistic descriptions of network component repair and water service restoration are generated.

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Data Availability Statement

Some or all data, models, or code used during the study were provided by a third party (Napa Water Network—Provided by NWD.) Direct requests for these materials may be made to the provider as indicated in the Acknowledgements.

Acknowledgments

This work was partially supported by the Nuclear Regulatory Commission (NRC) Research Grant No. NRC-HQ-60-17-G-0028. Any opinions, findings, and conclusions expressed in the material are those of the authors and do not necessarily reflect the views of the NRC. The authors would also like to acknowledge Charles Scawthorn (SPA Risk), Katherine Klise (Sandia National Laboratories), Joy Eldridge (Napa Water Division), and Douglas DeMaster (Napa Water Division) for their valuable input.

References

Adachi, T., and B. R. Ellingwood. 2008. “Serviceability of earthquake-damaged water systems: Effects of electrical power availability and power backup systems on system vulnerability.” Reliab. Eng. Syst. Saf. 93 (1): 78–88. https://doi.org/10.1016/j.ress.2006.10.014.
Adachi, T., and B. R. Ellingwood. 2009. “Serviceability assessment of a municipal water system under spatially correlated seismic intensities.” Comput.-Aided Civ. Infrastruct. Eng. 24 (4): 237–248. https://doi.org/10.1111/j.1467-8667.2008.00583.x.
American Lifelines Alliance. 2001. Seismic fragility formulation for water systems: Guideline. Washington, DC: American Lifelines Alliance.
Bruneau, M., S. E. Chang, R. T. Eguchi, G. C. Lee, T. D. O’Rourke, A. M. Reinhorn, M. Shinozuka, K. Tierney, W. A. Wallace, and D. Von Winterfeldt. 2003. “A framework to quantitatively assess and enhance the seismic resilience of communities.” Earthquake Spectra 19 (4): 733–752. https://doi.org/10.1193/1.1623497.
Cagnan, Z. 2005. “Post-earthquake restoration modeling for critical lifeline systems.” ProQuest dissertations and theses, Dept. of Civil and Environmental Engineering, Cornell Univ.
Campbell, K. W., and Y. Bozorgnia. 2014. “NGA-West2 ground motion model for the average horizontal components of PGA, PGV, and 5% damped linear acceleration response spectra.” Earthquake Spectra 30 (3): 1087–1115. https://doi.org/10.1193/062913EQS175M.
CESMD (Center for Engineering Strong Motion Data). 2012. Center for engineering strong motion data. Sacramento, CA: CESMD.
Chang, S. E., W. D. Svekla, and M. Shinozuka. 2002. “Linking infrastructure and urban economy: Simulation of water-disruption impacts in earthquakes.” Environ. Plann. B: Plann. Des. 29 (2): 281–301. https://doi.org/10.1068/b2789.
Davis, C. A. 2014. “Water system service categories, post-earthquake interaction, and restoration strategies.” Earthquake Spectra 30 (4): 1487–1509. https://doi.org/10.1193/022912EQS058M.
Eguchi, R. T. 1983. “Seismic vulnerability models for underground pipes.” In Proc., Int. Symp. on Earthquake Behavior and Safety of Oil and Gas Storage Facilities, Buried Pipelines and Equipment, 368–373. New York: ASME.
Eidinger, J. 2015. South Napa M 6.0 Earthquake of August 24, 2014. Reston, VA: G&E Engineering Systems.
Ellingwood, B. R., H. Cutler, P. Gardoni, W. G. Peacock, J. W. van de Lindt, and N. Wang. 2016. “The Centerville Virtual Community: A fully integrated decision model of interacting physical and social infrastructure systems.” Sustainable Resilient Infrastruct. 1 (3–4): 95–107. https://doi.org/10.1080/23789689.2016.1255000.
FEMA. 2012. Hazus–MH 2.1 technical manual: Earthquake model. Washington, DC: FEMA.
Field, E. H., T. H. Jordan, and C. A. Cornell. 2003. “OpenSHA: A developing community-modeling environment for seismic hazard analysis.” Seismol. Res. Lett. 74 (4): 406–419. https://doi.org/10.1785/gssrl.74.4.406.
Fishman, G. S. 1978. Principles of discrete event simulation. New York: Wiley.
Fishman, G. S. 2001. Discrete-event simulation: Modeling, programming, and applications. New York: Springer.
Fragiadakis, M., S. E. Christodoulou, and D. Vamvatsikos. 2013. “Reliability assessment of urban water distribution networks under seismic loads.” Water Resour. Manage. 27 (10): 3739–3764. https://doi.org/10.1007/s11269-013-0378-0.
Franchin, P. 2014. “A computational framework for systemic seismic risk analysis of civil infrastructural systems.” In SYNER-G: Systemic seismic vulnerability and risk assessment of complex urban, utility, lifeline systems and critical facilities, 23–56. New York: Springer.
Freeman, L. C. 1977. “A set of measures of centrality based on betweenness.” Sociometry 40 (1): 35–41. https://doi.org/10.2307/3033543.
Guidotti, R., H. Chmielewski, V. Unnikrishnan, P. Gardoni, T. McAllister, and J. van de Lindt. 2016. “Modeling the resilience of critical infrastructure: The role of network dependencies.” Sustainable Resilient Infrastruct. 1 (3–4): 153–168. https://doi.org/10.1080/23789689.2016.1254999.
Guidotti, R., P. Gardoni, and N. Rosenheim. 2019. “Integration of physical infrastructure and social systems in communities’ reliability and resilience analysis.” Reliab. Eng. Syst. Saf. 185 (May): 476–492. https://doi.org/10.1016/j.ress.2019.01.008.
Hanks, T. C., and W. H. Bakun. 2008. “M-logA observations for recent large earthquakes.” Bull. Seismol. Soc. Am. 98 (1): 490–494. https://doi.org/10.1785/0120070174.
Isumi, M., N. Nomura, and T. Shibuya. 1985. “Simulation of post-earthquake restoration of lifeline systems.” Int. J. Mass Emergencies Disasters 3 (1): 87–105.
Jayaram, N., and J. W. Baker. 2009. “Correlation model for spatially distributed ground-motion intensities.” Earthquake Eng. Struct. Dyn. 38 (15): 1687–1708. https://doi.org/10.1002/eqe.922.
Johnson, L. A., and S. A. Mahin. 2016. The Mw 6.0 South Napa earthquake of August 24, 2014. Sacramento, CA: Pacific Earthquake Engineering Research Center.
Klise, K. A., M. Bynum, D. Moriarty, and R. Murray. 2017. “A software framework for assessing the resilience of drinking water systems to disasters with an example earthquake case study.” Environ. Modell. Software 95 (Sep): 420–431. https://doi.org/10.1016/j.envsoft.2017.06.022.
Kozin, F., and H. Zhou. 1990. “System study of urban response and reconstruction due to earthquake.” J. Eng. Mech. 116 (9): 1959–1972. https://doi.org/10.1061/(ASCE)0733-9399(1990)116:9(1959).
Laucelli, D., L. Berardi, and O. Giustolisi. 2012. “Assessing climate change and asset deterioration impacts on water distribution networks: Demand-driven or pressure-driven network modeling?” Environ. Modell. Software 37 (Nov): 206–216. https://doi.org/10.1016/j.envsoft.2012.04.004.
Luna, R., N. Balakrishnan, and C. H. Dagli. 2011. “Postearthquake recovery of a water distribution system: Discrete event simulation using colored petri nets.” J. Infrastruct. Syst. 17 (1): 25–34. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000039.
Massey, F. J., Jr. 1951. “The Kolmogorov-Smirnov test for goodness of fit.” J. Am. Stat. Assoc. 46 (253): 68–78. https://doi.org/10.1080/01621459.1951.10500769.
McAllister, T. P. 2015. Community resilience planning guide for buildings and infrastructure systems: Volume I. Gaithersburg, MD: National Institute of Standards and Technology.
Müller, K., and T. Vignaux. 2003. “SimPy: Simulating systems in Python.” Accessed June 1, 2018. http://www.ONLamp.comPythonDevcenter.
Muranho, J., A. Ferreira, J. Sousa, A. Gomes, and A. S. Marques. 2012. “WaterNetGen: An EPANET extension for automatic water distribution network models generation and pipe sizing.” Water Sci. Technol. Water Supply 12 (1): 117–123.
Muranho, J., A. Ferreira, J. Sousa, A. Gomes, and A. S. Marques. 2014. “Pressure-dependent demand and leakage modelling with an EPANET extension—WaterNetGen.” Procedia Eng. 89 (Jan): 632–639.
Napa Water Division. 2017. Urban water management plan: 2015 update. Napa, CA: Napa Water Division.
Nojima, N., and H. Kameda. 1992. “Optimal strategy by use of tree structure for post-earthquake restoration of lifeline network systems.” In Proc., 10th World Conf. on Earthquake Engineering, 5541–5546. Tokyo: International Association of Earthquake Engineering.
Nyman, D. J., and ASCE. 1984. Guidelines for the seismic design of oil and gas pipeline systems, 473. Reston, VA: ASCE.
O’Rourke, T., and S. Toprak. 1997. “Using GIS to assess water supply damage from the Northridge earthquake.” Accessed January 25, 2018. http://mceer.buffalo.edu/publications/bulletin/97/11-03/jul97n3.html.
O’Rourke, T. D. 1998. “An overview of geotechnical and lifeline earthquake engineering.” In Geotechnical earthquake engineering and soil dynamics III, 1392–1426. Reston, VA: ASCE.
O’Rourke, T. D. 2007. Critical infrastructure, interdependencies, and resilience. Emmitsburg, MD: National Academy of Engineering.
Pathirana, A. 2010. “EPANET2 desktop application for pressure driven demand modeling.” In Water distribution systems analysis 2010, 65–74. Reston, VA: ASCE.
Pitilakis, K., H. Crowley, and A. M. Kaynia. 2014. “SYNER-G: Typology definition and fragility functions for physical elements at seismic risk.” Geotech. Geol. Earthquake Eng. 27 (1): 1–28.
Porter, K. A. 2018. “A new model of water-network resilience, with application to the HayWired scenario.” In The HayWired earthquake scenario—Engineering implications, edited by S. T. Detweiler and A. M. Wein. Washington, DC: USGS.
Porter, K. A., and R. Sherrill. 2011. “Utility performance panels in the ShakeOut Scenario.” Earthquake Spectra 27 (2): 443–458. https://doi.org/10.1193/1.3584121.
Rossman, L. A. 2000. EPANET 2 users manual. Cincinnati, OH: National Risk Management Research Laboratory.
Scawthorn, C., M. Khater, C. Rojahn, and L. S. Cluff. 1991. Seismic vulnerability and impact of disruption of lifelines in the conterminous United States. Redwood City, CA: Applied Technology Council.
Shi, P., and T. D. O’Rourke. 2008. Seismic response modeling of water supply systems. Buffalo, NY: Multidisciplinary Center for Earthquake Engineering Research.
SPA Risk LLC. 2014. 24 August 2014 South Napa Mw 6 earthquake reconnaissance report. Denver: SPA Risk LLC.
Tabucchi, T., R. Davidson, and S. Brink. 2010. “Simulation of post-earthquake water supply system restoration.” Civ. Eng. Environ. Syst. 27 (4): 263–279. https://doi.org/10.1080/10286600902862615.
Tabucchi, T. H. P. 2007. “Modeling post-earthquake restoration of the Los Angeles water supply system.” M.S. thesis, Dept. of Civil and Environmental Engineering, Cornell Univ.
TCLEE (Technical Council on Lifeline Earthquake Engineering). 2005. Fire following earthquake. Reston, VA: ASCE.
Toprak, S. 1998. “Earthquake effects on buried lifeline systems.” Ph.D. dissertation, Dept. of Civil and Environmental Engineering, Cornell Univ.
Toprak, S., and F. Taskin. 2007. “Estimation of earthquake damage to buried pipelines caused by ground shaking.” Nat. Hazard. 40 (1): 1–24. https://doi.org/10.1007/s11069-006-0002-1.
Trifunovic, N. 2012. Pattern recognition for reliability assessment of water distribution Networks. UNESCO-IHE PhD thesis. Boca Raton, FL: CRC Press.
USGS. 2018. “Quaternary fault and fold database for the United States.” Accessed April 26, 2019. https://earthquake.usgs.gov/hazards/qfaults/.
US Nuclear Regulatory Commission. 1975. Reactor safety study: An assessment of accidental risks in U.S. Commercial Nuclear Power Plants. Washington, DC: US Nuclear Regulatory Commission.
Varga, A. 2001. “Discrete event simulation system.” In Proc., European Simulation Multiconference (ESM’2001). Emeryville, CA: SCS Global Services.
Wagner, J. M., U. Shamir, and D. H. Marks. 1988. “Water distribution reliability: Simulation methods.” J. Water Resour. Plann. Manage. 114 (3): 276–294. https://doi.org/10.1061/(ASCE)0733-9496(1988)114:3(276).
Wald, D. J., B. C. Worden, V. Quitoriano, and K. L. Pankow. 2005. ShakeMap manual: Technical manual, user’s guide, and software guide. Golden, CO: USGS.
Wang, Y., and T. D. O’Rourke. 2006. Seismic performance evaluation of water supply systems. Buffalo, NY: Multidisciplinary Center for Earthquake Engineering Research.
Wells, D. L., and K. J. Coppersmith. 1994. “New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement.” Bull. Seismol. Soc. Am. 84 (4): 974–1002.
Worden, C. B., E. M. Thompson, J. W. Baker, B. A. Bradley, N. Luco, and D. J. Wald. 2018. “Spatial and spectral interpolation of ground-motion intensity measure observations.” Bull. Seismol. Soc. Am. 108 (2): 866–875. https://doi.org/10.1785/0120170201.
Wu, Z. Y., R. H. Wang, T. M. Walski, S. Y. Yang, D. Bowdler, and C. C. Baggett. 2008. “Efficient pressure dependent demand model for large water distribution system analysis.” In Proc., Water Distribution Systems Analysis Symp. 2006, 1–15. Reston, VA: ASCE.
Yoo, D. G., D. Jung, D. Kang, J. H. Kim, and K. Lansey. 2015. “Seismic hazard assessment model for urban water supply networks.” J. Water Resour. Plann. Manage. 142 (2): 4015055. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000584.

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Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 26Issue 4December 2020

History

Received: Dec 12, 2018
Accepted: May 21, 2020
Published online: Jul 16, 2020
Published in print: Dec 1, 2020
Discussion open until: Dec 16, 2020

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Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of California Los Angeles, Los Angeles, CA 90095 (corresponding author). ORCID: https://orcid.org/0000-0002-9661-6744. Email: [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of California Los Angeles, Los Angeles, CA 90095. ORCID: https://orcid.org/0000-0002-5368-0631. Email: [email protected]
Professor and Director, B. John Garrick Institute for the Risk Sciences, Univ. of California Los Angeles, Los Angeles, CA 90095. Email: [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Washington State Univ., Pullman, WA 99164-2250. ORCID: https://orcid.org/0000-0003-2313-8371. Email: [email protected]

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