Optimal Seismic Network Density for Earthquake Early Warning: A Case Study from California

Küyük, H. Serdar; Allen, R. M.

doi:10.1785/0220130043

Cited by 71 publications

(68 citation statements)

References 5 publications

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“…The challenge is to use only a few seconds of the P wave data from a limited number of stations to quickly determine a useful estimate of the earthquake magnitude. To respond to the emergency at hand, it is crucial that these magnitude estimates are as precise as possible [ Kuyuk and Allen , ]. For large earthquakes, substantial deviations between the estimated magnitude and the true earthquake's magnitude can lead to erroneous intensity predictions (e.g., peak ground acceleration, PGA, and peak ground velocity, PGV).…”

Section: Introductionmentioning

confidence: 99%

A global approach to provide magnitude estimates for earthquake early warning alerts

Küyük

Allen

2013

Geophysical Research Letters

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[1] We examine five different methods to estimate an earthquake's magnitude using only P wave data for use in earthquake early warning systems. We test two input parameters: the maximum predominant period of the P wave (τ p max ) and the displacement amplitude of the P wave's vertical component (Pd). We apply our algorithms to 174 earthquakes 3.0 < M < 8.0 from California and Japan that have also been used in previous calibration studies. We also apply them to 1992 0.2 < M < 5.7 earthquakes that were processed by the real-time Earthquake Alarm Systems in California. We find that τ p max does not scale with magnitude for small earthquakes (M < 3) and is less accurate for largemagnitude earthquakes than using Pd alone. We derive a global scaling relation between Pd and magnitude and conclude that this global relationship provides the most accurate and robust magnitude estimate. This relationship could be applied in earthquake source zones around the world. Citation: Kuyuk, H. S., and R. M. Allen (2013), A global approach to provide magnitude estimates for earthquake early warning alerts, Geophys. Res. Lett., 40,[6329][6330][6331][6332][6333]

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Section: Introductionmentioning

confidence: 99%

A global approach to provide magnitude estimates for earthquake early warning alerts

Küyük

Allen

2013

Geophysical Research Letters

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“…Let b be the distance from the epicenter to an observer on the land, and consider warnings that can be received ahead of the S wave arrival. Then, a simple estimate of the efficacy of an early warning system may be written as follows (Kuyuk and Allen, 2013):…”

Section: H Castaños and C Lomnitz: Understanding Disasters And Earlmentioning

confidence: 99%

Brief Communication: Understanding disasters and early-warning systems

Castaños

Lomnitz

2014

Nat. Hazards Earth Syst. Sci.

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Abstract. This paper discusses some methodological questions on understanding disasters. Destructive earthquakes continue to claim thousands of lives. Tsunamis may be caused by recoil of the upper plate. Darwin's twin-epicenter hypothesis is applied to a theory of tsunamis. The ergodicity hypothesis may help to estimate the return periods of extremely rare events. A social science outline on the causation of the Tôhoku nuclear disaster is provided.

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“…The surface waves so produced hinder the process of keeping the instrument at a linear operating point and often induces higher frequency noise by upconverting low-frequency optical motion. Earthquake Early Warning (EEW) is a burgeoning field dedicated to the rapid detection and characterization of earthquakes as well as the dissemination of that information to people and infrastructure in their path [19][20][21][22][23][24][25][26][27][28]. Worldwide, many seismic and geodetic (GPS) sensor arrays exist that produce rapid earthquake information products, from magnitude and location estimates to regional centroid moment tensors (CMTs) and advanced slip inversions.…”

Section: Introductionmentioning

confidence: 99%

Ground motion prediction at gravitational wave observatories using archival seismic data

Mukund

Coughlin

Harms

et al. 2019

Class. Quantum Grav.

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Gravitational wave observatories have always been affected by tele-seismic earthquakes leading to a decrease in duty cycle and coincident observation time. In this analysis, we leverage the power of machine learning algorithms and archival seismic data to predict the ground motion and the state of the gravitational wave interferometer during the event of an earthquake. We demonstrate improvement from a factor of 5 to a factor of 2.5 in scatter of the error in the predicted ground velocity over a previous model fitting based approach. The level of accuracy achieved with this scheme makes it possible to switch control configuration during periods of excessive ground motion thus preventing the interferometer from losing lock. To further assess the accuracy and utility of our approach, we use IRIS seismic network data and obtain similar levels of agreement between the estimates and the measured amplitudes. The performance indicates that such an archival or prediction scheme can be extended beyond the realm of gravitational wave detector sites for hazardbased early warning alerts.

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Optimal Seismic Network Density for Earthquake Early Warning: A Case Study from California

Cited by 71 publications

References 5 publications

A global approach to provide magnitude estimates for earthquake early warning alerts

A global approach to provide magnitude estimates for earthquake early warning alerts

Brief Communication: Understanding disasters and early-warning systems

Ground motion prediction at gravitational wave observatories using archival seismic data

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