RED-ACT: 8月4日日本本州东岸近海6.2级地震破坏力分析
RED-ACT Report
Real-time Earthquake Damage Assessment using City-scale Time-history analysis
Aug. 04, M6.2 Japan Fukushima-ken Earthquake
Research group of Xinzheng Lu at Tsinghua University ([email protected])
First reported at 18:40, Aug. 4, 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/rr.htm
1. Introduction to the earthquake event
At 19:23 04 Aug 2019 (Local Time, UTC +9), an M 6.2 (JMA) earthquake occurred in Japan Fukushima-ken. The epicenter was located at 141.7 37.7, with a depth of 50.0 km.
2. Recorded ground motions
20 ground motions near to epicenter of this earthquake were analyzed. The names and locations of the stations can be found in Table 1. The maximal recorded peak ground acceleration (PGA) is 175 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, the damage ratios of buildings located in different places can be obtained. The building damage distribution and the human feeling distribution near to different stations are 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 feeling 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 near the station 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/rr.htm
Table 1 Names and locations of the strong motion stations
No. Station Name Longitude Latitude
1 FKS001 140.92 37.7949
2 FKS002 140.601 37.8449
3 FKS004 140.735 37.6799
4 FKS005 140.985 37.6385
5 FKS006 140.759 37.5031
6 FKS007 140.963 37.4061
7 FKS008 140.567 37.4363
8 FKS009 140.635 37.2778
9 FKS010 141.002 37.2342
10 FKS016 140.191 37.1228
11 FKS019 140.437 37.603
12 FKS031 140.813 37.3364
13 IBR001 140.357 36.7761
14 MYG012 141.019 38.3175
15 MYG013 140.929 38.2663
16 MYG014 140.636 38.3177
17 MYG015 140.87 38.1049
18 MYG017 140.782 37.9763
19 TCG009 139.715 36.7258
20 TCG014 140.174 36.545
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