The Status of Earthquake Early Warning around the World: An Introductory Overview

Allen, R. M.; Gasparini, Paolo; Kamigaichi, Osamu; Böse, Maren

doi:10.1785/gssrl.80.5.682

Cited by 319 publications

(183 citation statements)

References 61 publications

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“…An EEWS was implemented successfully in countries like Mexico and Japan. EEWS is also under advanced development in Turkey, Romania, the United States, Italy, and Taiwan and mainland China (Allen et al 2009;Mokhtari 2010). The success of EEWS in Iran will be strengthened by a national long-term support, multidisciplinary approaches, use of different technologies, international collaboration, earthquake disaster risk awareness, public education and disaster preparedness, learning from earthquake disasters, and development of a culture of resilience and earthquake disaster risk reduction, among the communities and society (Mokhtari 2010;Ibrion et al 2015c).…”

Section: Lessons and ''Lessons Learned'' From The Rudbar 1990 Earthqumentioning

confidence: 99%

Earthquake Disaster Risk Reduction in Iran: Lessons and “Lessons Learned” from Three Large Earthquake Disasters—Tabas 1978, Rudbar 1990, and Bam 2003

Ibrion

Mokhtari

Nadim

2015

Int J Disaster Risk Sci

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Section: Lessons and ''Lessons Learned'' From The Rudbar 1990 Earthqumentioning

confidence: 99%

Earthquake Disaster Risk Reduction in Iran: Lessons and “Lessons Learned” from Three Large Earthquake Disasters—Tabas 1978, Rudbar 1990, and Bam 2003

Ibrion

Mokhtari

Nadim

2015

Int J Disaster Risk Sci

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“…Based on the method of estimating source parameters, traditional methods can be classified as front detection, onsite, and network methods (Allen et al 2009). Front detection methods are often used to protect the city off the coast by installing one or more stations along the coast, such as Istanbul EEW system proposed by Alcik et al (2009) along the northern shore of the Marmara Sea.…”

Section: Introductionmentioning

confidence: 99%

Real-time numerical shake prediction and updating for earthquake early warning

et al. 2017

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Ground motion prediction is important for earthquake early warning systems, because the region's peak ground motion indicates the potential disaster. In order to predict the peak ground motion quickly and precisely with limited station wave records, we propose a realtime numerical shake prediction and updating method. Our method first predicts the ground motion based on the ground motion prediction equation after P waves detection of several stations, denoted as the initial prediction. In order to correct the prediction error of the initial prediction, an updating scheme based on real-time simulation of wave propagation is designed. Data assimilation technique is incorporated to predict the distribution of seismic wave energy precisely. Radiative transfer theory and Monte Carlo simulation are used for modeling wave propagation in 2-D space, and the peak ground motion is calculated as quickly as possible. Our method has potential to predict shakemap, making the potential disaster be predicted before the real disaster happens. 2008 M S 8.0 Wenchuan earthquake is studied as an example to show the validity of the proposed method.

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“…Traditional methods of ground motion prediction for EEW predict the peak ground motion and trigger an alarm when the ground motion is predicted to be above a specific threshold. They can be classified as front detection, on-site, and network methods (Allen et al 2009). …”

Section: Introductionmentioning

confidence: 99%

Real-time 3-D space numerical shake prediction for earthquake early warning

et al. 2017

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In earthquake early warning systems, real-time shake prediction through wave propagation simulation is a promising approach. Compared with traditional methods, it does not suffer from the inaccurate estimation of source parameters. For computation efficiency, wave direction is assumed to propagate on the 2-D surface of the earth in these methods. In fact, since the seismic wave propagates in the 3-D sphere of the earth, the 2-D space modeling of wave direction results in inaccurate wave estimation. In this paper, we propose a 3-D space numerical shake prediction method, which simulates the wave propagation in 3-D space using radiative transfer theory, and incorporate data assimilation technique to estimate the distribution of wave energy. 2011 Tohoku earthquake is studied as an example to show the validity of the proposed model. 2-D space model and 3-D space model are compared in this article, and the prediction results show that numerical shake prediction based on 3-D space model can estimate the real-time ground motion precisely, and overprediction is alleviated when using 3-D space model.

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The Status of Earthquake Early Warning around the World: An Introductory Overview

Cited by 319 publications

References 61 publications

Earthquake Disaster Risk Reduction in Iran: Lessons and “Lessons Learned” from Three Large Earthquake Disasters—Tabas 1978, Rudbar 1990, and Bam 2003

Earthquake Disaster Risk Reduction in Iran: Lessons and “Lessons Learned” from Three Large Earthquake Disasters—Tabas 1978, Rudbar 1990, and Bam 2003

Real-time numerical shake prediction and updating for earthquake early warning

Real-time 3-D space numerical shake prediction for earthquake early warning

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