single-dr.php

JDR Vol.15 No.2 pp. 187-201
(2020)
doi: 10.20965/jdr.2020.p0187

Survey Report:

Core-to-Core Collaborative Research Between Earthquake Research Institute, The University of Tokyo and Disaster Prevention Research Institute, Kyoto University During FY2014 to FY2018

Shinichi Matsushima

Disaster Prevention Research Institute, Kyoto University
Gokasho, Uji, Kyoto 611-0011, Japan

Corresponding author

Received:
September 16, 2019
Accepted:
October 15, 2019
Published:
March 20, 2020
Keywords:
core-to-core collaborative research, disaster mitigation, hazard estimation, risk evaluation, Nankai Trough earthquake
Abstract

The research program titled “Earthquake and Volcano Hazards Observation and Research Program” was started in fiscal year (FY) 2014 as a new five-year project authorized and funded by the Council for Science and Technology of the Ministry of Education, Culture, Sports, Science and Technology. It included a new format of collaborative research called, “Core-to-Core Collaborative Research between Earthquake Research Institute, The University of Tokyo and Disaster Prevention Research Institute, Kyoto University.” In this format, two types of research, “Participation Type Research” and “Subject Proposal Type Research” were conducted from FY2015. A preliminary study was performed in FY2015 for “Integrated Research” of “Participation Type Research,” which developed a framework for seismic risk evaluation at prefectural offices of Osaka and Kochi for an earthquake occurring along the Nankai Trough, considering the epistemic uncertainty. The secondary study was performed from FY2016 through to FY2018, wherein the methodology for the seismic risk evaluation was improved on three aspects: i.e., revision in ground motion prediction models considering the saturation effect, revision in loss models in terms of the fatalities as well as the direct losses of buildings, and extension of target sites to the whole of Osaka and Kochi prefectures. The results suggest that the epistemic uncertainty in the ground motion prediction models is most sensitive to the overall uncertainty of seismic risk. Along with “Integrated Research,” a total of 14 “Research on Specific Topics” related to time-dependent risk analysis, economical risk evaluation, source characterization, structural damage estimation models, ground motion estimation models, soil amplification models, and disaster prevention planning considering the uncertainty of risk assessment, were studied during this period in order to improve the risk assessment studies for “Integrated Research.” With respect to “Subject Proposal Type Research,” a total of 27 individual research themes focused on research to understand hazards/risks by earthquakes and volcanic eruptions and to mitigate disasters by them.

Cite this article as:
S. Matsushima, “Core-to-Core Collaborative Research Between Earthquake Research Institute, The University of Tokyo and Disaster Prevention Research Institute, Kyoto University During FY2014 to FY2018,” J. Disaster Res., Vol.15 No.2, pp. 187-201, 2020.
Data files:
References
  1. [1] Coordinating Committee of Earthquake and Volcanic Eruption Prediction Researches, Products, 2018, http://www.eri.u-tokyo.ac.jp/YOTIKYO/H26-30/product.html (in Japanese) [accessed September 13, 2019]
  2. [2] S. H. Lee, K. Nishijima, and S. Matsushima, “Investigation of Possibilities to Reduce Uncertainties of Seismic Risk Evaluation for Nankai Trough Earthquakes,” 5th IASPEI / IAEE Int. Symp.: Effects of Surface Geology on Seismic Motion, 2016.
  3. [3] National Research Institute for Earth Science and Disaster Resilience (NIED), “J-SHIS (Japan Seismic Hazard Information Station),” http://www.j-shis.bosai.go.jp/en/ [accessed September 13, 2019]
  4. [4] H. Si and S. Midorikawa, “New attenuation relationships for peak ground acceleration and velocity considering effects of fault type and site condition,” J. of Structural and Construction Engineering (Trans. of AIJ), Vol.64, No.523, pp. 63-70, doi: 10.3130/aijs.64.63_2, 1999 (in Japanese with English abstract).
  5. [5] T. Kanno, A. Narita, N. Morikawa, H. Fujiwara, and Y. Fukushima, “A New Attenuation Relation for Strong Ground Motion in Japan Based on Recorded Data,” Bulletin of the Seismological Society of America, Vol.96, No.3, pp. 879-897, doi: 10.1785/0120050138, 2006.
  6. [6] T. Satoh, “Attenuation relations of horizontal and vertical ground motions for intraslab and interplate earthquakes in Japan,” J. of Structural and Construction Engineering (Trans. of AIJ), Vol.75, No.647, pp. 67-76, doi: 10.3130/aijs.75.67, 2010 (in Japanese with English abstract).
  7. [7] N. Morikawa and H. Fujiwara, “A New Ground Motion Prediction Equation for Japan Applicable up to M9 Mega-Earthquake,” J. Disaster Res., Vol.8, No.5, pp. 878-888, doi: 10.20965/jdr.2013.p0878, 2013.
  8. [8] K. Fujimoto and S. Midorikawa, “Relationship between Average Shear-Wave Velocity and Site Amplification Inferred from Strong Motion Records at Nearby Station Pairs,” J. of Japan Association for Earthquake Engineering, Vol.6, No.1, pp. 11-22, doi: 10.5610/jaee.6.11, 2006 (in Japanese with English abstract).
  9. [9] M. Matsuoka, K. Wakamatsu, K. Fujimoto, and S. Midorikawa, “Average shear-wave velocity mapping using Japan engineering geomorphologic classification map,” Structural Engineering / Earthquake Engineering, Vol.23, No.1, pp. 57s-68s, doi: 10.2208/jsceseee.23.57s, 2006.
  10. [10] O. Murao and F. Yamazaki, “Building fragility curves for the 1995 Hyogoken-nanbu earthquake based on CPIJ & AIJ’s survey results with detailed inventory,” J. of Structural and Construction Engineering (Trans. of AIJ), Vol.67, No.555, pp. 185-192, doi: 10.3130/aijs.67.185_1. 2002 (in Japanese with English abstract).
  11. [11] H. Si, K. Koketsu, and H. Miyake, “Attenuation Characteristics of Strong Ground Motion from Megathrust Earthquakes in Subduction Zone – On the Pass Effects –,” J. of Japan Association for Earthquake Engineering, Vol.16, No.1, pp. 96-105, doi: 10.5610/jaee.16.1_96, 2016 (in Japanese with English abstract).
  12. [12] N. Tabata and S. Okada, “Seismic death risk function for casualties per house,” J. of Structural and Construction Engineering (Trans. of AIJ), Vol.71, No.605, pp. 71-78, doi: 10.3130/aijs.71.71_3, 2006 (in Japanese with English abstract).
  13. [13] S. Okada and N. Takai, “Damage index function of wooden buildings for seismic risk management –Proposal of the methodology based on deterministic approach–,” J. of Structural and Construction Engineering (Trans. of AIJ), Vol.69, No.582, pp. 31-38, doi: 10.3130/aijs.69.31_5, 2004 (in Japanese with English abstract).
  14. [14] S. H. Lee, K. Nishijima, S. Matsushima, M. Miyazawa, K. Mochizuki, T. Iidaka, K. Ueda, H. Kawase, and N. Maki, “Issues and Challenges in Seismic Risk Evaluation and its Uncertainty Reduction for the Nankai Trough Earthquake,” DPRI Annuals, No.60 B, pp. 354-365, http://hdl.handle.net/2433/229393, 2017.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 22, 2024