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Earthquake Data in Engineering Seismology

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Cover of 'Earthquake Data in Engineering Seismology'

Table of Contents

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    Book Overview
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    Chapter 1 Earthquake Data in Engineering Seismology
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    Chapter 2 Ground-Motion Models for Defining Seismic Actions in Eurocode 8 Eurocode 8
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    Chapter 3 Earthquake Data in Engineering Seismology
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    Chapter 4 A Predictive Ground-Motion Model for Turkey and Its Comparison with Recent Local and Global GMPEs
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    Chapter 5 Strong-Motion Networks in Italy and Their Efficient Use in the Derivation of Regional and Global Predictive Models
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    Chapter 6 Strong-Motion Networks in Greece and Their Efficient Use in the Derivation of Regional Ground-Motion Prediction Models
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    Chapter 7 Ground Motion Simulation Using the Hybrid Empirical Method: Issues and Insights
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    Chapter 8 Record Processing in ITACA, the New Italian Strong-Motion Database
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    Chapter 9 The European-Mediterranean Distributed Accelerometric Data-Base
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    Chapter 10 Distributed archive and single access system for accelerometric event data : a NERIES initiative
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    Chapter 11 Euroseistest 3D Array for the Study of Complex Site Effects
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    Chapter 12 Deployment of New Strong Motion Seismographs of K-NET K-NET and KiK-net
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    Chapter 13 Integrating the European Observational Seismology Infrastructure: NERIES NERIES Developments
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    Chapter 14 The Turkish National Accelerometric Network: 1973–2010
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    Chapter 15 The Current State of Strong Motion Monitoring in Switzerland
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    Chapter 16 Real-Time Seismic Monitoring of Structures: Data Handling and Case Studies
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    Chapter 17 Strong-Motion Networks in Romania and Their Efficient Use in the Structural Engineering Applications
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    Chapter 18 Strong-Motion and Structural Monitoring Networks in Istanbul and Their Use for Risk Assessment
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Title
Earthquake Data in Engineering Seismology
Published by
Springer Netherlands, January 2011
DOI 10.1007/978-94-007-0152-6
ISBNs
978-9-40-070151-9, 978-9-40-070152-6
Editors

Akkar, Sinan, Gülkan, Polat, van Eck, Torild

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 7%
Student > Ph. D. Student 2 4%
Researcher 2 4%
Lecturer > Senior Lecturer 1 2%
Student > Master 1 2%
Other 0 0%
Unknown 36 80%
Readers by discipline Count As %
Engineering 6 13%
Earth and Planetary Sciences 2 4%
Physics and Astronomy 1 2%
Unknown 36 80%