Early Warning Systems
Abstract/Contents
- Abstract
- The recent advance in real-time seismic data acquisition is making it possible to estimate earthquake characteristics while the event is still in progress. This source information coupled with stored strong motion responses for characteristic earthquakes allows the capability of predicting the level of strong motions before the most damaging shaking arrives. Essentially, the faster traveling P-waves and the beginning portion of S-waves near the epicenter provides sufficient information to determine the nature of the event. This allows a few seconds of warning time depending on the epicentral distance. For example, we could expect about 10 to 15 seconds of warning time in Los Angeles for a San Andreas type of event and similarly in the Tokyo situation. This provides adequate time for some emergency operations such as back-up electrical power turn-on, shut-down of natural gas, etc., see a recent Stanford report (Takeuchi et al., 1992). Moreover, an accurate picture of ground shaking levels in the damaged region after the motions arrive can be assembled rapidly to assist in emergency operations. In this report, we present work developing this concept of early warning.
Description
Type of resource | text |
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Date created | September 1994 |
Creators/Contributors
Author | Kanda, Katsuhisa | |
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Author | Yamanaka, Hiroaki | |
Author | Miyanura, Masamitsu | |
Author | Ikeda, Yoshiki | |
Author | Moroi, Takafumi | |
Author | Helmberger, Donald | |
Author | Kanamori, Hiroo |
Subjects
Subject | Early Warning |
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Genre | Technical report |
Bibliographic information
Access conditions
- Use and reproduction
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Preferred citation
- Preferred Citation
- Kanda, Katsuhisa and Yamanaka, Hiroaki and Miyanura, Masamitsu and Ikeda, Yoshiki and Moroi, Takafumi and Helmberger, Donald and Kanamori, Hiroo. (1994). Early Warning Systems. CUREE-Kajima Research Report CKII-01. Stanford Digital Repository. Available at: http://purl.stanford.edu/hh879nd5275
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Contact information
- Contact
- jabeec-email@stanford.edu
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