Preview

Fundamental and Applied Hydrophysics

Advanced search

On opportunity of short-term forecast for local tsunamis in the Kuril Islands

https://doi.org/10.7868/S2073667319040026

Abstract

One of the problems of operational tsunami forecasting is a large (more than 75%) number of false alarms. According to modern ideas, tsunami warning services should declare not only reasonable general alarms, but also differentiated by the degree of danger for specific areas of the coast. A tsunami warning should be issued with a reasonable advance warning only at points where a tsunami poses a real threat, and should be accompanied by information on the arrival time of the first, maximum waves, their amplitudes, as well as the expected time of the end of the tsunami. Tsunami forecasting that meets these requirements is possible using tsunami information obtained in the open ocean from sea level measurement stations. In the case of local tsunamis, ocean level measurement stations located near the focus contain noise of seismic origin superimposed on the useful tsunami signal, which can make it difficult to obtain an adequate forecast.

The results of numerical simulation of the process of operational forecasting of local tsunamis of 2006 and 2007 on the Kuril Islands according to the data of the closest to the islands deep-ocean level station are presented. The computation was performed according to the station data complicated by seismic interference. The principal possibility of operational forecast of tsunamis arising at the Central Kuril Islands, according to the data of closest to the centers level station, even in the presence of seismic noise, is shown. Advance forecast for settlements of the Northern and Southern Kuril Islands is 0.5—1.5 hours, which ensures timely submission of alarm and evacuation of the population to safe places.

About the Author

Yu. P. Korolev
Institute of Marine Geology and Geophysics of FEB RAS
Russian Federation

Yuzhno-Sakhalinsk



References

1. Korolev Yu.P. Hydrophysical method for real-time forecast of tsunami. Issues of Risk Analysis. 2011, 8, 2, 32—47 (in Russian).

2. Intergovernmental Oceanographic Commission. Rev. Ed. 2013. Tsunami Glossary, 2013. Paris, UNESCO. IOC Technical Series. N 85. (IOC/2008/TS/85rev). URL: http://ioc-unesco.org/index.php?option=com_oe&task=viewDocumentRecord&docID=10442 (date of access: 08.10.2019).

3. User’s Guide for the Pacific Tsunami Warning Center Enhanced Products for the Pacific Tsunami Warning System. IOC Technical Series. N 105, Rev. ed. UNESCO/IOC. 2014. URL: http://itic.ioc-unesco.org/images/stories/ptws/ptwc_new_enhanced_products/ts105-Rev2_eo_220368E.pdf (date of access: 08.10.2019).

4. Whitmore P.M. and Sokolowski T.J. Predicting tsunami amplitudes along the North American coast from tsunamis generated in the Northwest Pacific Ocean during tsunami warnings. Science of Tsunami Hazards. 1996, 14, 3, 147—166.

5. NOAA Center for Tsunami Research. URL: http://nctr.pmel.noaa.gov/ (date of access: 09.10.2019).

6. Korolev Yu.P., Shevchenko G.V. The short-term tsunami forecast. Istoriya Nauki i Tekhniki. 2016, 6, 28—41 (in Russian).

7. Korolev Yu.P. Short-term tsunami forecast in the Pacific Ocean. Geosistemy Perekhodnykh Zon. 2017, 2, 3—17 (in Russian).

8. Korolev Yu.P. The reciprocity principle for the shallow water waves, taking into account the Earth’s rotation. Fundamentalnaya i Prikladnaya Gidrofizika. 2016, 9, 2, 3—14 (in Russian).

9. National Data Buoy Center. URL: http://www.ndbc.noaa.gov/dart.shtml (date of access: 09.10.2019).


Review

For citations:


Korolev Yu.P. On opportunity of short-term forecast for local tsunamis in the Kuril Islands. Fundamental and Applied Hydrophysics. 2019;12(4):14-20. (In Russ.) https://doi.org/10.7868/S2073667319040026

Views: 133


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2073-6673 (Print)
ISSN 2782-5221 (Online)