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JDR Vol.14 No.2 pp. 315-332
(2019)
doi: 10.20965/jdr.2019.p0315

Survey Report:

Development of a Real-Time Damage Estimation System

Hiroyuki Fujiwara*1,†, Hiromitsu Nakamura*1, Shigeki Senna*1, Hideyuki Otani*2, Naoya Tomii*3, Kiyonori Ohtake*4, Toshiya Mori*5, and Shojiro Kataoka*6

*1Research Center for Reinforcement of Resilient Function, National Research Institute for Earth Science and Disaster Resilience
3-1 Tennodai, Tsukuba-shi, Ibaraki 305-0006, Japan

Corresponding author

*2Computational Disaster Mitigation and Reduction Research Team, RIKEN Center for Computational Science, Hyogo, Japan

*3Satellite Appications and Operations Center, Space Technology Directorate I, Japan Aerospace Exploration Agency (JAXA), Ibaraki, Japan

*4Applications Laboratory, Resilient ICT Research Center, National Institute of Information and Communications Technology, Kyoto, Japan

*5Geochemical Research Center, Graduate School of Science, The University of Tokyo, Tokyo, Japan

*6Earthquake Disaster Management Division, Road Structures Department,
National Institute for Land and Infrastructure Management, Ministry of Land, Infrastructure, Transport and Tourism, Ibaraki, Japan

Received:
August 20, 2018
Accepted:
January 31, 2019
Published:
March 1, 2019
Keywords:
natural disaster, disaster response, damage estimation, damage assessment
Abstract

Assessing the extent of damage quickly following a major natural disaster is crucial to ensuring that effective decisions are made to establish an appropriate first response system and implement response measures. Therefore, a real-time earthquake damage estimation system was developed. Among other things, the system estimates the distribution of seismic ground motion, structural damage, and casualties based on observation records obtained immediately after a major earthquake. In addition, the system is equipped with a function for assessing actual damage using a variety of sources and techniques. Damage estimates generated by the system were used for emergency response during actual disasters, including the 2016 Kumamoto Earthquakes, and the system’s effectiveness has been confirmed. This study evaluates the functions and performance of the system, examines its potential applications, and discusses future innovations and challenges.

Cite this article as:
H. Fujiwara, H. Nakamura, S. Senna, H. Otani, N. Tomii, K. Ohtake, T. Mori, and S. Kataoka, “Development of a Real-Time Damage Estimation System,” J. Disaster Res., Vol.14, No.2, pp. 315-332, 2019.
Data files:
References
  1. [1] H. Nakamura, S. Aoi, T. Kunugi, W. Suzuki, and H. Fujiwara, “Prototype of a Real-Time System for Earthquake Damage Estimation in Japan,” J. Disaster Res., Vol.8, No.5, pp. 981-989, 2013.
  2. [2] National Research Institute for Earth Science and Disaster Resilience, “J-SHIS (Japan Seismic Hazard Information Station),” http://www.j-shis.bosai.go.jp/ [accessed July 16, 2018]
  3. [3] S. Senna, A. Wakai, K. Jin, T. Maeda, and H. Fujiwara, “Modeling of the subsurface structure from the seismic bedrock to the ground surface for a broadband strong motion evaluation in Kanto Area, Japan,” 16th World Conf. on Earthquake Engineering, Santiago, 2017.
  4. [4] M. Ooi, K. Ishibashi, and H. Fujiwara, “Development of the building structure database for seismic risk evaluation,” Proc. of the 13th Japan Earthquake Engineering Symp., pp. 1708-1715, 2010 (in Japanese with English abstract).
  5. [5] Central Disaster Management Council, “Outline of damage estimation items and estimation methods of building damage and causalities by the Nankai Trough Big Earthquake,” http://www.bousai.go.jp/jishin/nankai/taisaku_wg/pdf/20120829_gaiyou.pdf, 2012 (in Japanese) [accessed July 16, 2018]
  6. [6] K. Horie, “Story collapse damage of wooden buildings by Great Hanshin-Awaji Earthquake,” Earthquake J., No.38, pp. 30-40, 2004 (in Japanese).
  7. [7] 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. Struct. Constr. Eng. (Trans. of AIJ), No.555, pp. 185-196, 2002 (in Japanese with English abstract).
  8. [8] O. Murao and F. Yamazaki, “Development of Fragility Curves for Buildings Based on Damage Survey Data of a Local Government after the 1995 Hyogoken-nanbu Earthquake,” J. Struct. Constr. Eng. (Trans. of AIJ), No.527, pp. 189-196, 2000 (in Japanese with English abstract).
  9. [9] Central Disaster Management Council, “Damage estimation method from Tokyo Inland Earthquake,” http://www.bousai.go.jp/jishin/syuto/pdf/shiryou3.pdf 2004 (in Japanese) [accessed July 16, 2018]
  10. [10] T. Takuma, I. Takahashi, H. Fujiwara, and Y. Kunimatsu, “Development of damage ratio curves for wooden buildings taking into account period characteristics,” Summaries of Technical Papers of Annual Meeting, Structure-II, pp. 19-20, 2016 (in Japanese).
  11. [11] S. Midorikawa, Y. Ito, and H. Miura, “Vulnerability Functions of Buildings based on Damage Survey Data of Earthquakes after the 1995 Kobe Earthquake,” J. of JAEE, No.11, No.4, pp. 34-47, 2011 (in Japanese with English abstract).
  12. [12] S. Shimizu, H. Fujiwara, H. Nakamura, N. Morikawa, T. Saeki, Y. Komaru, M. Wakaura, Y. Tokizane, and Y. Hayakawa, “Study of the Fragility Function of the Response Spectrum based on the definition of disaster victim certificate,” Proc. of the Annual Conf. of the Institute of Social Safety Science, No.39, 2016 (in Japanese with English abstract).
  13. [13] Kyouikusolution Corporation, “National school data (2015 version),” 2015.
  14. [14] Agoop Corp., “Point-type floating population data,” 2015.
  15. [15] T. Takuma, M. Nakamura, T. Watanabe, and S. Midorikawa, “A Method for Quantitative Evaluation of Casualties and Medical Cost Assessment in case of an Earthquake,” Proc. of Institute of Social Safety Science, No.3, pp. 133-140, 2001 (in Japanese with English abstract).
  16. [16] S. Okada and T. Nakashima, “A New Causality Model for Evaluating the Probability of Human Damage from Injury to Death Associated with Building Collapse,” Health and Labor Sciences Research Grant Report, pp. 147-161, 2015 (in Japanese).
  17. [17] National Research Institute for Earth Science and Disaster Resilience, “Report of J-RISQ (Japan Real-time Information System for Earthquake),” http://www.j-risq.bosai.go.jp/report/ [accessed July 16, 2018]
  18. [18] H. Fujiwara, “Development of real-time earthquake damage information system,” Proc. of 13th JAEE Annual Meeting, A-4, 2017 (in Japanese).
  19. [19] N. Monna, H. Fujiwara, H. Nakamura, T. Saeki, H. Shimomura, T. Yamada, and S. Fujisawa, “Feature of the building damage of Kumamoto earthquake by airphoto-interpretation,” Japan Geoscience Union Meeting, HCG37-P10, 2017.
  20. [20] N. Monna, H. Fujiwara, H. Nakamura, S. Naito, H. Shimomura, and T. Yamada, “Construction of earthquake building damage information space database and examination of building damage curve,” The 15th Japan Earthquake Engineering Symp., PS1-01-33, 2018 (in Japanese with English abstract).
  21. [21] National Research Institute for Earth Science and Disaster Resilience, “Crisis Response Site (The Earthquake in Osaka-Fu Hokubu),” http://crs.bosai.go.jp/DynamicCRS/index.html?appid=7f61007cafa949708cd5471bc6c52188, 2018 [accessed July 16, 2018]
  22. [22] Fire and Disaster Management Agencyof the Ministry of Internal Affairs and Communications, “Damage by The Earthquake in Osaka-Fu Hokubu and Measures Taken by Firefighting Organizations ect. (Report No.30, 2018.11.6),” http://www.fdma.go.jp/bn/2018/detail/1050.html (in Japanese) [accessed December 11, 2018]
  23. [23] R. Natsuaki, H. Nagai, N. Tomii, and T. Tadono, “Sensitivity and Limitation in Damage Detection for Individual Buildings Using InSAR Coherence.A Case Study in 2016 Kumamoto Earthquakes,” Remote Sens., Vol.10, Article No.245, doi:10.3390/rs10020245, 2018.
  24. [24] S. Naito, H. Tomozawa, Y. Mori, T. Nagata, K. Mitsuhashi, T. Yamada, H. Shimomura, N. Monna, H. Nakamura, and H. Fujiwara, “Development of the damage detection method for buildings with machine learning techniques utilizing aerial photographs of the Kumamoto earthquake,” Japan Geoscience Union Meeting, SSS14-04, 2018.
  25. [25] A. Kusaka, H. Nakamura, H. Fujiwara, and H.Okano, “Bayesian Updating of Damaged Building Distribution in Post-Earthquake Assessment,” J. of JAEE, No.17, pp. 16-29, 2017 (in Japanese with English abstract).
  26. [26] A. Kusaka, H. Nakamura, H. Fujiwara, K. Kanda, and N. Monna, “Estimation of damaged house distributions by use of aerial photographs of disaster area by the 2016 Kumamoto earthquake,” Proc. of 13th JAEE Annual Meeting, P1-34, 2017.
  27. [27] S. Senna, T. Maeda, Y. Inagaki, H. Suzuki, N. Matsuyama, and H. Fujiwara, “Modeling of the subsurface structure from the seismic bedrock to the ground surface for a broadband strong motion evaluation,” J. Disaster Res., Vol.8, No.5, pp. 889-903, 2013.
  28. [28] I. Cho and S. Senna, “Constructing a system to explore shallow velocity structures using a miniature microtremor array – Accumulating and utilizing large microtremor datasets –,” Synthesiology,Vol.9, No.2,pp. 86-96, 2016.
  29. [29] T. Satoh, C. J. Poran, K. Yamagata, and J. A. Rodriguez, “Soil profiling by spectral analysis of surface waves,” Proc. 2nd Int. Conf. on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics, Vol.2, pp. 1429-1434, 1991.
  30. [30] H. Arai and K. Tokimatsu, “S-Wave velocity profiling by inversion of microtremor H/V Spectrum,” Bull. Seismol. Soc. Am., Vol.94, pp. 53-63, 2004.
  31. [31] S. Senna, H. Azuma, Y. Murui, and H. Fujiwara, “Development of microtremor survey observation system ‘i-bidou’ etc.,” Proc. of the 124th SEGJ Conf., pp. 346-348, 2011 (in Japanese).
  32. [32] S. Senna, S. Adachi, Y. Asaka, and H. Fujiwara, “Development of a new microtremor survey observation system,” Proc. of the 126th SEGJ Conf., pp. 32-34, 2012 (in Japanese).
  33. [33] M. Hori, T. Ichimura, L. Wijerathne, H. Ohtani, J. Chen, K. Fujita and H. Motoyama, “Application of High Performance Computing to Earthquake Hazard and Disaster Estimation in Urban Area,” Front. Built Environ., doi: 10.3389/fbuil.2018.00001, 2018.
  34. [34] H. O-tani, M. Hori, and L. Wijerathne, “Automated Model Construction for Seismic Disaster Assessment of Pipeline Network in Wide Urban Area,” Earthquakes, Intech, doi: 10.5772/intechopen.78725, 2018.
  35. [35] Iwaizumi Civil Center, Coastal Area Promotion Bureau, Iwate Pref., “Outline of Omoto river improvement plan,” p. 6, November, 2016.
  36. [36] [36] T. Ise, T. Isono, Y. Usuda, H. Fujiwara, and K. Yamori, “Study of the Method of Disaster Information Sharing System Considering the Diversity of the Municipalities,” Proc. of Institute of Social Safety Science, No.30, pp. 25-34, 2017 (in Japanese).
  37. [37] M. Shiraishi, H. Ashiya, A. Konno, K. Morita, T. Noro, Y. Nomura, and S. Kataoka, “Development of Real-Time Collection, Integration, and Sharing Technology for Infrastructure Damage Information,” J. Disaster Res., Vol.14 No.2, 2019.

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Last updated on Dec. 10, 2019