The September 19, 2017 MW 7.1 CENTRAL-Mexico earthquake: Immediate observations on selected infrastructure systems

Lemnitzer, Anne; Arduino, Pedro; Dafni, J.; Franke, Kevin W.; Martinez, A. Cuellar; Mayoral, Juan M.; Mohtar, Chadi El; Pehlivan, Menzer; Yashinsky, Mark

doi:10.1016/j.soildyn.2020.106430

Cited by 3 publications

(1 citation statement)

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“…The leading cause of infrastructure disruption is natural disasters, and their direct impact has been estimated at least $90 billion per year (Hallegatte et al 2019). Earthquakes like 1994 M w 6.7 Northridge, 2010 M w 8.8 Maule, 2011 M w 9.1 Tohoku, 2011 M w 6.2 Christchurch, 2015 M w 7.8 Gorkha, and 2017 M w 7.1 Puebla are some of the examples which caused serious disruption to the critical infrastructure affecting the lives of many people and producing high economic losses (Evans and McGhie 2011;Giovinazzi et al 2011; Government of Nepal 2015; Lemnitzer et al 2021;Nakashima et al 2014;Todd et al 1994). Moreover, the current rapid urbanization is estimated to lead to 68% of the total population living in urban areas by 2050 (United Nations 2019), which will increase the reliance of people on infrastructure, potentially exacerbating the impact of future earthquakes (Sathurshan et al 2022).…”

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confidence: 99%

Infrastructure seismic risk assessment: an overview and integration to contemporary open tool towards global usage

Poudel

Pitilakis

Silva

et al. 2023

Bull Earthquake Eng

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Infrastructures are critical for the functioning of society. Due to globalization, damages between different components of infrastructure systems can cross international boundaries, resulting in broad economic and social impacts. Hence, it is fundamental to develop powerful tools for the assessment of infrastructure risk, considering a wide spectrum of uncertainties. Past studies covering infrastructure risk assessment are limited to a few countries, partly because for assessing the infrastructure risk, issues due to the complexity of the systems, like paucity and heterogeneity of the data and methods, the consideration of dependencies between components and systems, modeling of ground shaking in terms of scenario and probabilistic approach, taking into account site effects, spatial variability and cross correlation of ground motion at the urban scale, as well as consideration of risk metrics tailored to infrastructure, still remain partially or not properly answered. Moreover, the presently available infrastructure risk assessment tools are not sufficiently illustrative, user-friendly, and comprehensive to meet actual needs. To this end, the paper making an overview of these issues proposes a comprehensive approach that leverages the main strength of existing infrastructure risk methodologies, integrating them into a powerful open-source tool and providing common platform from hazard to risk analysis that will serve for global and easy usage. The methodology and its implementation are illustrated through a test-bed study of the water supply network of the city of Thessaloniki in Greece, considering an Mw 6.5 scenario of the 1978 Thessaloniki earthquake and an event based probabilistic approach and, simultaneously evaluating the sensitivity of cross spatial correlation.

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