State-of-the art and future of earthquake early warning in the European region

Clinton, John; Zollo, Aldo; Mărmureanu, Alexandru; Zülfikar, Can; Parolai, Stefano

doi:10.1007/s10518-016-9922-7

Cited by 67 publications

(41 citation statements)

References 39 publications

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“…Earthquake early warning (EEW) is a technology that automatically processes seismic signals and issues warnings of imminent strong motion. EEW systems have been developed and/or operated in many locations such as Japan (Hoshiba et al, ; Nakamura, ), Mexico (Espinosa‐Aranda et al, ), California (Böse et al, ), Taiwan (Chen et al, ), Korea (Sheen et al, ), China (Zhang et al, ), and Europe (Clinton et al, ).…”

Section: Introductionmentioning

confidence: 99%

Real‐Time Detection of Rupture Development: Earthquake Early Warning Using P Waves From Growing Ruptures

Kodera

2018

Geophysical Research Letters

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Large earthquakes with long rupture durations emit P wave energy throughout the rupture period. Incorporating late‐onset P waves into earthquake early warning (EEW) algorithms could contribute to robust predictions of strong ground motion. Here I describe a technique to detect in real time P waves from growing ruptures to improve the timeliness of an EEW algorithm based on seismic wavefield estimation. The proposed P wave detector, which employs a simple polarization analysis, successfully detected P waves from strong motion generation areas of the 2011 Mw 9.0 Tohoku‐oki earthquake rupture. An analysis using 23 large (M ≥ 7) events from Japan confirmed that seismic intensity predictions based on the P wave detector significantly increased lead times without appreciably decreasing the prediction accuracy. P waves from growing ruptures, being one of the fastest carriers of information on ongoing rupture development, have the potential to improve the performance of EEW systems.

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Section: Introductionmentioning

confidence: 99%

Real‐Time Detection of Rupture Development: Earthquake Early Warning Using P Waves From Growing Ruptures

Kodera

2018

Geophysical Research Letters

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“…Several gaps persist due to weak multi-disciplinary coordination and collaboration among the actors and agencies concerned, lack of standard operating procedures (SOP) and interoperable information systems, limited public awareness and participation in risk management, insufficient political commitment, and limited public/private financial support for the implementation of these systems (UNISDR 2006a, b;UNEP 2012;Clinton et al 2016). Additional efforts are needed to institutionalize and strengthen MHEWS that provide multi-hazard risk communication messages tailored to the needs of specific individuals and communities, while following common standards such as the Common Alerting Protocol (CAP) and colour-coded warning messages based on risk matrixes.…”

Section: Gaps and Challenges Related To Early Warning Systemsmentioning

confidence: 99%

World Meteorological Organization (WMO)—Concerted International Efforts for Advancing Multi-hazard Early Warning Systems

Luther

Hainsworth

Tang

et al. 2017

Advancing Culture of Living With Landslides

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Recent international agreements such as the Sendai Framework for Disaster Risk Reduction 2015-2030, the 2030 Agenda for Sustainable Development and the Paris Agreement have all recognized the importance of developing and operationalising multi-hazard early warning systems that integrate the specificities of single-hazard early warning systems in a holistic, systematic and coordinated manner to promote synergies and maximize efficiency. While much progress has been made in recent years towards the advancement of knowledge and practice related to early warning systems worldwide, the lack of multi-disciplinary and transboundary cooperation among and across communities of scientists, decision-makers and practitioners continues to be a key challenge for the successful establishment and operation of these systems. To address this gap, major international and national organizations have collaborated to establish the International Network for Multi-Hazard Early Warning Systems (IN-MHEWS), with the aim of facilitating knowledge sharing and capacity development for multi-hazard early warning systems around the globe. This paper presents an overview of advances and challenges in promoting a multi-hazard and systematic approach to early warning, as well as the aim, objectives and expected contributions of this newly established Network. KeywordsMulti-hazard early warning systems Á Sendai framework for disaster risk reduction 2015-2030 Á Multi-stakeholder partnerships Á Knowledge sharing Á

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“…For this reason, the development of Earthquake Early Warning Systems (EEWS) has been a focus of seismologists and engineers who have shown that the effectiveness of these systems could significantly contribute to seismic risk mitigation (Wenzel and Zschau, 2014;Clinton et al, 2016;Strauss and Allen, 2016;Wu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic

et al. 2017

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The first real-time digital strong-motion network in Central Asia has been installed in the Kyrgyz Republic since 2014. Although this network consists of only 19 strong-motion stations, they are located in near-optimal locations for earthquake early warning and rapid response purposes. In fact, it is expected that this network, which utilizes the GFZ-Sentry software, allowing decentralized event assessment calculations, not only will provide useful strong motion data useful for improving future seismic hazard and risk assessment, but will serve as the backbone for regional and on-site earthquake early warning operations. Based on the location of these stations, and travel-time estimates for P-and S-waves, we have determined potential lead times for several major urban areas in Kyrgyzstan (i.e., Bishkek, Osh, and Karakol) and Kazakhstan (Almaty), where we find the implementation of an efficient earthquake early warning system would provide lead times outside the blind zone ranging from several seconds up to several tens of seconds. This was confirmed by the simulation of the possible shaking (and intensity) that would arise considering a series of scenarios based on historical and expected events, and how they affect the major urban centers. Such lead times would allow the instigation of automatic mitigation procedures, while the system as a whole would support prompt and efficient actions to be undertaken over large areas.

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State-of-the art and future of earthquake early warning in the European region

Cited by 67 publications

References 39 publications

Real‐Time Detection of Rupture Development: Earthquake Early Warning Using P Waves From Growing Ruptures

Real‐Time Detection of Rupture Development: Earthquake Early Warning Using P Waves From Growing Ruptures

World Meteorological Organization (WMO)—Concerted International Efforts for Advancing Multi-hazard Early Warning Systems

Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic

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