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Earthquake Early Warning Systems

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Cover of 'Earthquake Early Warning Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Real-time Earthquake Damage Mitigation Measures
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    Chapter 2 Can Earthquake Size be Controlled by the Initial Seconds of Rupture?
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    Chapter 3 The ElarmS Earthquake Early Warning Methodology and Application across California
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    Chapter 4 Real-time Estimation of Earthquake Magnitude for Seismic Early Warning
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    Chapter 5 A New Approach to Earthquake Early Warning
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    Chapter 6 Optimal, Real-time Earthquake Location for Early Warning
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    Chapter 7 The Virtual Seismologist (VS) Method: a Bayesian Approach to Earthquake Early Warning
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    Chapter 8 A Strong Motion Attenuation Relation for Early-warning Application in the Campania Region (Southern Apennines)
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    Chapter 9 Quantitative Seismic Hazard Assessment
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    Chapter 10 Seismic Early Warning Systems: Procedure for Automated Decision Making
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    Chapter 11 The Crywolf Issue in Earthquake Early Warning Applications for the Campania Region
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    Chapter 12 Earthquake Early Warning and Engineering Application Prospects
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    Chapter 13 UrEDAS, the Earthquake Warning System: Today and Tomorrow
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    Chapter 14 State of the Art and Progress in the Earthquake Early Warning System in Taiwan
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    Chapter 15 FREQL and AcCo for a Quick Response to Earthquakes
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    Chapter 16 Development and Testing of an Advanced Monitoring Infrastructure (ISNet) for Seismic Early-warning Applications in the Campania Region of Southern Italy
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    Chapter 17 An Early Warning System for Deep Vrancea (Romania) Earthquakes
Attention for Chapter 13: UrEDAS, the Earthquake Warning System: Today and Tomorrow
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Chapter title
UrEDAS, the Earthquake Warning System: Today and Tomorrow
Chapter number 13
Book title
Earthquake Early Warning Systems
Published by
Springer, Berlin, Heidelberg, January 2007
DOI 10.1007/978-3-540-72241-0_13
Book ISBNs
978-3-54-072240-3, 978-3-54-072241-0
Authors

Yutaka Nakamura, Jun Saita

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Australia 1 1%
Israel 1 1%
Finland 1 1%
United Kingdom 1 1%
Unknown 76 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 19%
Student > Master 13 16%
Researcher 10 12%
Student > Bachelor 8 10%
Professor > Associate Professor 3 4%
Other 11 14%
Unknown 21 26%
Readers by discipline Count As %
Engineering 26 32%
Earth and Planetary Sciences 15 19%
Computer Science 4 5%
Social Sciences 4 5%
Environmental Science 3 4%
Other 7 9%
Unknown 22 27%