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Tsunami Detection and Warning Capability Using Nearshore Submerged Pressure Transducers — Case Study of the 4 October 1994 Shikotan Tsunami

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Perspectives on Tsunami Hazard Reduction

Part of the book series: Advances in Natural and Technological Hazards Research ((NTHR,volume 9))

Abstract

Coastal communities require reliable, accurate, and timely warning of approaching tsunamis. Presently, warnings of a potential tsunami rely on the detection of a seismic disturbance with a submarine epicenter. However, the ability to quantitatively predict the tsunamigenic potential from seismic signals has not been demonstrated. Mid-ocean, bottom mounted pressure sensors could provide advance warnings for the coastal areas far from the source (far-field tsunamis) if the signals were available in near real time (F. Gonzales, personal communication). While such sensors represent a vast improvement over current practices, since the generation of a tsunami is verified, the measured mid-ocean amplitude is quite small. The critical information is the eventual amplitude of the tsunami run up at points along the affected coastline; these values can be highly variable spatially. Validated transformation models, using the mid-ocean tsunami signal as input, may provide an effective warning for those situations.

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References

  • McGehee, D.D., and J.M. Hemsley. 1993. “Implementing a National Wave Monitoring Network -Some Lessons and Plans”, Proceedings. of the 2nd International Symposium on Ocean wave Measurement and Analysis, July 25-28, 1993, ASCE, New York, NY

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© 1997 Springer Science+Business Media Dordrecht

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McGehee, D.D., McKinney, J.P. (1997). Tsunami Detection and Warning Capability Using Nearshore Submerged Pressure Transducers — Case Study of the 4 October 1994 Shikotan Tsunami. In: Hebenstreit, G. (eds) Perspectives on Tsunami Hazard Reduction. Advances in Natural and Technological Hazards Research, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8859-1_9

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  • DOI: https://doi.org/10.1007/978-94-015-8859-1_9

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4938-4

  • Online ISBN: 978-94-015-8859-1

  • eBook Packages: Springer Book Archive

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