Integrating strong-motion recordings and twitter data for a rapid shakemap of macroseismic intensity

Fayjaloun, Rosemary; Gehl, Pierre; Auclair, Samuel; Boulahya, Faïza; Guerin-Marthe, S.; Roullé, Agathe

doi:10.1016/j.ijdrr.2020.101927

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…In addition to restrictions of reaching the affected area in a relatively short time, including transportation issues and other societal-health constraints (e.g., in our case the COVID-19 pandemic lockdown), the access to field survey data within 5 days of the event collocated well with the availability of additional post-seismic SAR acquisitions. Still in remote areas or when such expert-base observations cannot be easily arranged, the possibility to integrate strong-motion recordings and social media data for a rapid estimation of macroseismic intensities could serve as an alternative (Fayjaloun et al 2020 ).…”

Section: Resultsmentioning

confidence: 99%

On rapid multidisciplinary response aspects for Samos 2020 M7.0 earthquake

et al. 2021

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Following the M 7.0 earthquake that struck the Greek island of Samos and Turkey's western coast, causing extensive damage and casualties, we combined existing knowledge geodatabases concerning historical seismicity and rupture zones with seismological and geodetic measurements as well as with modelling and in situ observations, to provide an assessment of rapid response to the seismic event. In this paper, we demonstrate that in the frame of the gradual provision of information from the individual scientific disciplines, taking into account their respective potential and limitations, a multidisciplinary approach is able to address more efficiently rapid response issues in order to allow effective preliminary interpretation of the earthquake activity, even within the first 24 h of the event. It focuses on the assessment of the timely provision of information by each discipline, evaluating the access to primary data sources as well as the maturity of the techniques in terms of accuracy and rapid data processing. Within a period of less than a week, several constraints were partially compensated for, allowing the delivery of more robust results and interpretation. The study highlights the readiness level of the various domains that has been significantly improved over the past years, including rapid seismological solutions, systematic availability of free and open Earth Observation data and on-demand online processing through dedicated platforms. Their combination with routinely applied inversion modelling and timely in situ observation is leading to improved operational response levels. Supplementary Information The online version contains supplementary material available at 10.1007/s11600-021-00578-6.

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Section: Resultsmentioning

confidence: 99%

On rapid multidisciplinary response aspects for Samos 2020 M7.0 earthquake

et al. 2021

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“…Therefore it is proposed to decompose the posterior distributions over all possible values of D i , given the damage state of the bridge. A similar decomposition framework for the treatment of soft evidence has been introduced by Fayjaloun et al (2021). Let Y be a variable of interest in the BN; then its posterior distribution given the observation of DS i = 1 is decomposed as follows: P(D i | DS i =1) represents the conditional probability of observing the value D i given the damage state of the component: this probability is estimated by using the a priori distribution of D i and by truncating its probability density function, named p trunc (i.e., keeping only the positive part of the support and normalizing the function):…”

Section: Verification Methodsmentioning

confidence: 99%

Rapid earthquake loss updating of spatially distributed systems via sampling-based bayesian inference

Gehl

Fayjaloun

Sun

et al. 2022

Bull Earthquake Eng

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Within moments following an earthquake event, observations collected from the affected area can be used to define a picture of expected losses and to provide emergency services with accurate information. A Bayesian Network framework could be used to update the prior loss estimates based on ground-motion prediction equations and fragility curves, considering various field observations (i.e., evidence). While very appealing in theory, Bayesian Networks pose many challenges when applied to real-world infrastructure systems, especially in terms of scalability. The present study explores the applicability of approximate Bayesian inference, based on Monte-Carlo Markov-Chain sampling algorithms, to a real-world network of roads and built areas where expected loss metrics pertain to the accessibility between damaged areas and hospitals in the region. Observations are gathered either from free-field stations (for updating the ground-motion field) or from structure-mounted stations (for the updating of the damage states of infrastructure components). It is found that the proposed Bayesian approach is able to process a system comprising hundreds of components with reasonable accuracy, time and computation cost. Emergency managers may readily use the updated loss distributions to make informed decisions.

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“…The Bayesian algorithm gives identical results as the algorithm by Worden et al (2018), on which USGS ShakeMap v4 is based (i.e., same mathematical concept using spatially-correlated Gaussian fields). For now, the Bayesian code may be used for R&D purposes, in order to integrate various types of uncertainties (e.g., spatial correlation models, site amplification factors) or to consider non-conventional types of observations (e.g., investigation of the added valued of social media data, such as Twitter feeds after an earthquake event (Fayjaloun et al, 2020). Such developments are currently on-going within the H2020 European project TURNkey.…”

Section: Future Developmentsmentioning

confidence: 99%

The Transversal Seismicity Action RESIF: A Tool to Improve the Distribution of the French Seismicity Products

Masson

Auclair

Bertil

et al. 2021

Seismological Research Letters

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In recent years, the French seismological, geodetic, and gravimetric community has been structured within Réseau Sismologique et géodésique Français (RESIF) (French seismological and geodetic network). In addition to instrumental developments, RESIF has structured the work on French seismicity (metropolitan and overseas) within the RESIF transverse seismicity action (ATS). The purpose of this article is to present the ATS and the way it is structured to propose to the community different products: seismicity bulletin and catalog, historical and instrumental macroseismicity data, and ShakeMaps. The places where these products can be found are indicated, as well as the way they are realized and the improvements in progress for a better realization and availability. The link with European plate observing system is also underlined.

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Integrating strong-motion recordings and twitter data for a rapid shakemap of macroseismic intensity

Cited by 7 publications

References 27 publications

On rapid multidisciplinary response aspects for Samos 2020 M7.0 earthquake

On rapid multidisciplinary response aspects for Samos 2020 M7.0 earthquake

Rapid earthquake loss updating of spatially distributed systems via sampling-based bayesian inference

The Transversal Seismicity Action RESIF: A Tool to Improve the Distribution of the French Seismicity Products

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