Nisqually Earthquake Electric Utility Analysis

Abstract

The performance of an urban electric utility distribution system was evaluated for the February 2001 Nisqually earthquake. The restoration rate of the lifeline following the event was determined; the distribution of outage durations was estimated; and correlations between lifeline damage and instrumental Modified Mercalli intensity, peak ground velocity, and peak ground acceleration values were ascertained using a GIS (geographical information systems) approach. Using a logit regression analysis, a fragility curve was developed for the lifeline in a manner similar to O'Rourke's formulation of water-line performance (O'Rourke et. al. 2000). Extrapolation of the model to the Seattle Fault earthquake scenario was made to demonstrate its feasibility for prediction.

Quantification of Lifeline System Interdependencies after the 27 February 2010 Mw 8.8 Offshore Maule, Chile, Earthquake

“…Consequence indices as well as ratios of intensity versus extent could also be used to calibrate interdependent infrastructure models and explore mitigation actions that control the consequences from different disruptive events. Some empirical studies that do not rely on media reports of infrastructure incidents resort to data maintained by local public utility commissions and utility service providers (Park et al 2006, Reed et al 2009). The used data sets are desirable because they measure actual restoration processes in terms of customers served or other quality metrics.…”

“…Some empirical studies that do not rely on media reports of infrastructure incidents resort to data maintained by local public utility commissions and utility service providers (Park et al 2006, Reed et al 2009). The used data sets are desirable because they measure actual restoration processes in terms of customers served or other quality metrics.…”

Quantifying Directional Dependencies from Infrastructure Restoration Data

“…This is due to the comparatively sparse data points-a result of using one telecommunications provider as representative of the wireless telecommunication sector as a whole. The assumption of an exponential relationship is frequently observed empirically (Kajitani and Sagai 2009, Nojima and Kato 2013, Park et al 2006, Reed et al 2009, where an additional data set collated for the Darfield earthquake (combining observations of Berryman 2011, Eidinger et al 2010, and Tang et al 2014) also follows this shape with near exact precision.…”

A probabilistic approach for the prediction of seismic resilience of bridges

“…Various definitions of resilience can be found in several disciplinary fields . According to , seismic resilience is ‘the ability of social units (e.g., organizations and communities) to mitigate hazards, contain the effects of disasters when they occur, and carry out recovery activities in ways that minimize social disruption and mitigate the effects of future earthquakes’.…”