Earthquake Science and Seismic Risk Reduction | ISBN 9789401000413

Earthquake Science and Seismic Risk Reduction

herausgegeben von F. Mulargia und R.J. Geller
Mitwirkende
Herausgegeben vonF. Mulargia
Herausgegeben vonR.J. Geller
Buchcover Earthquake Science and Seismic Risk Reduction  | EAN 9789401000413 | ISBN 94-010-0041-7 | ISBN 978-94-010-0041-3

From the reviews of the first edition:

„This is a comprehensive and up-to-date book mainly on earthquake prediction, in the practical sense of including policy issues as well as in the sense that ‘once we can predict something, we understand it’. … This book should be read by everybody interested in earthquake prediction and seismic hazard mitigation, expert or not, scientist or administrator. It … makes a good reference. Each chapter contains a comprehensive set of references to recent literature. A CD-ROM with color figures is included.“ (Christian Goltz, Surveys in Geophysics, Vol. 27, 2006)

Earthquake Science and Seismic Risk Reduction

herausgegeben von F. Mulargia und R.J. Geller
Mitwirkende
Herausgegeben vonF. Mulargia
Herausgegeben vonR.J. Geller
What is the first thing that ordinary people, for whom journalists are the proxy, ask when they meet a seismologist? It is certainly nothing technical like „What was the stress drop of the last earthquake in the Imperial Valley?“ It is a sim ple question, which nevertheless summarizes the real demands that society has for seismology. This question is „Can you predict earthquakes?“ Regrettably, notwithstanding the feeling of omnipotence induced by modem technology, the answer at present is the very opposite of „Yes, of course“. The primary motivation for the question „Can you predict earthquakes?“ is practical. No other natural phenomenon has the tremendous destructive power of a large earthquake, a power which is rivaled only by a large scale war. An earth quake in a highly industrialized region is capable of adversely affecting the econ omy of the whole world for several years. But another motivation is cognitive. The aim of science is 'understanding' nature, and one of the best ways to show that we understand a phenomenon is the ability to make accurate predictions.