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JDR Vol.10 No.1 pp. 51-58
(2015)
doi: 10.20965/jdr.2015.p0051

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Building a Tsunami Simulation Database for the Tsunami Warning System in the Philippines

Yohko Igarashi*, Toshihiro Ueno*, Kenji Nakata**,
Vilma C. Hernandez-Grennan***, Joan L. Cruz-Salcedo***,
Ishmael C. Narag***, Bartolome C. Bautista***,
and Takeshi Koizumi*

*Japan Meteorological Agency, 1-3-4 Otemachi Chiyoda-ku Tokyo, 100-8122, Japan

**Meteorological Research Institute, Japan Meteorological Agency, 1-1 Nagamine, Tsukuba City, Ibaraki 305-0052, Japan

***Philippine Institute of Volcanology and Seismology (PHIVOLCS), PHIVOLCS Bldg., CP Garcia Ave., U.P. Diliman, Quezon City, Philippines

Received:
August 1, 2014
Accepted:
November 1, 2014
Published:
February 1, 2015
Creative Commons License
Keywords:
tsunami warning system, tsunami simulation database, tsunami disaster preparedness, the Philippines
Abstract
To enhance the tsunami warning operation system in the Philippines caused by earthquakes in and around the country, staff members of the Japan Meteorological Agency (JMA) joined the SATREPS program in 2012 to help building a tsunami simulation database in the Philippine Institute of Volcanology and Seismology (PHIVOLCS), which storesmultiple results of tsunami simulations such as estimated tsunami arrival times and heights at coasts for multiple hypothetical earthquakes of various hypocenter locations and magnitudes. The procedure to construct a database consists of several steps starting from setting assumed fault parameters and others, proceeding to tsunami simulations and data creation to be stored in the database, and as the last step, creating a searching system which picks results from the database according to the location and magnitude of an earthquake. As of July 2014, the PHIVOLCS has stored the results of tsunami simulations conducted for more than 30,000 assumed faults for local tsunamis. The searching system is also prepared which enables to get a quick grasp of expected tsunami features quantitatively. With this database and the searching system, the PHIVOLCS is in near future to issue initial tsunami warnings based on the information of estimated tsunami arrival times and heights immediately after the hypocenter location and magnitude of an earthquake are determined. When the necessary coordination with related organizations as well as the public education for the system and warning messages are ready, the PHIVOLCS will start the enhanced local tsunami warning operation.
Cite this article as:
Y. Igarashi, T. Ueno, K. Nakata, V. Hernandez-Grennan, J. Cruz-Salcedo, I. Narag, B. Bautista, and T. Koizumi, “Building a Tsunami Simulation Database for the Tsunami Warning System in the Philippines,” J. Disaster Res., Vol.10 No.1, pp. 51-58, 2015.
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References
  1. [1] M. L. P. Bautista, B. C. Bautista, J. C. Salcedo, and I. C. Narag, “Philippine tsunamis and seiches (1589–2012),” Philippine Institute of Volcanology and Seismology, 2012.
  2. [2] H. Tatehata, “The new tsunami warning system of the Japan Meteorological Agency,” Perspectives on Tsunami Hazard Reduction Advances in Natural and Technological Hazards Research, Vol.9, pp. 175-188, 1997.
  3. [3] O. Kamigaichi, “Tsunami forecasting and warning, encyclopedia of complexity and systems science,” Springer, pp. 9592-9618, 2009.
  4. [4] H. Kanamori and L. Rivera, “Source inversion of W phase: speeding up seismic tsunami warning,” Geophysical Journal International, Vol.175, pp. 222-238, 2008.
  5. [5] United Nations Development Programme, “Enhancing Greater Metro Manila’s Institutional Capacities for Effective Disaster/Climate Risk Management towards Sustainable Development (GMMA READY Project),” 2003,
    Retrieved June 5, 2014, from http://www.ph.undp.org/content/philippines/en/home/operations/projects/environment and energy/GMMA-READY/
  6. [6] B. C. Papazachos, E.M. Scordilis, D. G. Panagiotopoulos, C. B. Papazachos, and G. F. Karakaisis, “Global relations between seismic fault parameters and moment magnitudes of earthquakes,” Bulletin of Geological Society of Greece, XXXVI, Proceedings of the 10th International Congress, pp. 1482-1489, 2004.
  7. [7] C. Goto, Y. Ogawa, N. Shuto, and F. Imamura, “Numerical method of tsunami simulation with the leap-frog scheme (IUGG/IOC Time Project),” IOC Manual, UNESCO, No.35, 1997.
  8. [8] Y. Okada, “Surface deformation due to shear and tensile faults in a half-space,” Bulletin of the Seismological Society of America, Vol.75, pp. 1135-1154, 1985.
  9. [9] Y. Okada, “Internal deformation due to shear and tensile faults in a half-space,” Bulletin of the Seismological Society of America, Vol.82, pp. 1018-1040, 1992.
  10. [10] K. Hasegawa, T. Suzuki, K. Inagaki, and N. Shuto, “A study of the mesh size and time increment in the numerical simulation of tsunamis,” Journal of Japan Society of Civil Engineers, Vol.381, pp. 111-120, 1987 (in Japanese).
  11. [11] Philippine Institute of Volcanology and Seismology, “Compilation of Damaging Earthquakes of the Philippines, Moro Gulf Earthquake – 17 August 1976,”
    Retrieved June 20, 2014, from http://earthquake.phivolcs.dost.gov.ph/1976MoroGulfEQ/index-moro.html
  12. [12] S. Nakamura, “The earthquake and tsunami in southern Mindanao, August, 1976,” Academic Journal of Southeast Asian Studies, Vol.15, No.1, pp. 95-109, 1977 (in Japanese).

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