RED-ACT Report: 日本本州东岸6.0级地震
RED-ACT Report
Real-time Earthquake Damage Assessment using City-scale Time-history analysis
Apr. 11, M6.0 Japan Sanriku Oki Earthquake
Research group of Xinzheng Lu at Tsinghua University (luxz@tsinghua.edu.cn)
First reported at 17:00, Apr. 11, 2019 (Beijing Time, UTC +8)
Acknowledgments and Disclaimer
The authors are grateful for the data provided by K-NET and KiK-net. This analysis is for research only. The actual damage resulting from the earthquake should be determined according to the site investigation.
Scientific background of this report can be found at:
http://www.luxinzheng.net/software/Real-Time_Report.pdf
1. Introduction to the earthquake event
At 17:18 11 Apr 2019 (Local Time, UTC +9), an M 6.0 (JMA) earthquake occurred in Japan Sanriku Oki. The epicenter was located at 40.4N 143.4E, with a depth of 10.0 km.
2. Recorded ground motions
10 ground motions near to epicenter of this earthquake were analyzed. The names and locations of the stations can be found Table 1. The maximal recorded peak ground acceleration (PGA) is 16 cm/s/s. The corresponding response spectra in comparison with the design spectra specified in the Chinese Code for Seismic Design of Buildings are shown in Figure 1.

Figure 1 Response spectra of the recorded ground motions with maximal PGA
3. Damage analysis of the target region subjected to the recorded ground motions
Using the real-time ground motions obtained from the strong motion networks and the city-scale nonlinear time-history analysis (see the Appendix of this report), the damage ratios of buildings located in different places can be obtained. The building damage distribution and the human uncomfortableness distribution near to different stations is shown in Figure 2 and Figure 3, respectively. These outcomes can provide a reference for post-earthquake rescue work.

Figure 2 Damage ratio distribution of the buildings near to different stations

Figure 3 Human uncomfortableness distribution near to different stations
4. Earthquake-induced landslide of the target region subjected to the recorded ground motions
According to local topographic data, lithology data and ground motion records, the distribution of earthquake-induced landslide near to different stations under the different proportions of the landslide slab thickness that is saturated can be calculated, as shown in Figure 4. The basemap shows the distribution of the local slope. The number in the circle represents the critical slope of the landslide. The earthquake-induced landslide tends to occur with a higher probability when the slope is larger than this threshold value.

(a)The proportion of the landslide slab thickness that is saturated equals 0%

(b)The proportion of the landslide slab thickness that is saturated equals 50%

(c)The proportion of the landslide slab thickness that is saturated equals 90%
Figure 4 Distribution of earthquake-induced landslide near to different stations
Scientific background of this report can be found at: http://www.luxinzheng.net/software/Real-Time_Report.pdf
Table 1 Names and locations of the strong motion stations
No.Station NameLongitudeLatitude
1AOM010141.14240.8721
2AOM011141.36740.6803
3AOM012141.48140.5138
4AOM013141.2840.4124
5AOM027140.82241.1453
6HKD159141.00241.7162
7IWT003141.88640.0083
8IWT012141.13839.3209
9IWT020141.32939.7841
10IWT021141.08239.9203
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