Earthquake Data in Engineering Seismology Predictive Models, Data Ma
This book addresses current activities in strong-motion networks around the globe, covering issues related to designing, maintaining and disseminating information from these arrays. The book is divided into three principal sections. The
- PDF / 13,704,854 Bytes
- 281 Pages / 439.37 x 666.142 pts Page_size
- 97 Downloads / 229 Views
GEOTECHNICAL, GEOLOGICAL AND EARTHQUAKE ENGINEERING Volume 14 Series Editor Atilla Ansal, Kandilli Observatory and Earthquake Research Institute, Boˇgaziçi University, Istanbul, Turkey Editorial Advisory Board Julian Bommer, Imperial College London, U.K. Jonathan D. Bray, University of California, Berkeley, U.S.A. Kyriazis Pitilakis, Aristotle University of Thessaloniki, Greece Susumu Yasuda, Tokyo Denki University, Japan
For further volumes: http://www.springer.com/series/6011
Earthquake Data in Engineering Seismology Predictive Models, Data Management and Networks
edited by
S˙INAN AKKAR Middle East Technical University, Ankara, Turkey
POLAT GÜLKAN Middle East Technical University, Ankara, Turkey and
TORILD VAN ECK Royal Netherlands Meteorological Institute, De Bilt, The Netherlands
123
Editors Sinan Akkar Middle East Technical University Earthquake Engineering Research Center Department of Civil Engineering 06531 Ankara Turkey [email protected]
Polat Gülkan Middle East Technical University Earthquake Engineering Research Center Department of Civil Engineering 06531 Ankara Turkey [email protected]
Torild van Eck Royal Netherlands Meteorological Institute ORFEUS c/o Seismology Division 3730 AE De Bilt The Netherlands [email protected]
ISSN 1573-6059 ISBN 978-94-007-0151-9 e-ISBN 978-94-007-0152-6 DOI 10.1007/978-94-007-0152-6 Springer Dordrecht Heidelberg London New York © Springer Science+Business Media B.V. 2011 No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface and Acknowledgements
Researchers and practitioners who make use of processed strong motion data have access to a multitude of Internet resources. This is far removed from times when such data was exchanged among users on magnetic tapes, and later, on CDs. Today, researchers need instant access to waveforms that must have been processed in uniformly verifiable ways for a wide variety of objectives. The products of this branch of earthquake science must be searchable according to a multitude of different criteria defined by user needs. The increased utilization of strong motion data has made dialogue among network operators, data providers and the user community to become more important than ever. It is clear that uniformly processed waveform recordings that have been archived consistently would increase the confidence of users and encourage a broader exchange of strong-motion data for purposes of seismic safety in countries that live under the earthquake peril. A strong motion sensor that is triggered into recording during an earthquake provides a waveform that contains the co
Data Loading...
