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 (luxz@tsinghua.edu.cn)
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 NameLongitudeLatitude
1FKS001140.9237.7949
2FKS002140.60137.8449
3FKS004140.73537.6799
4FKS005140.98537.6385
5FKS006140.75937.5031
6FKS007140.96337.4061
7FKS008140.56737.4363
8FKS009140.63537.2778
9FKS010141.00237.2342
10FKS016140.19137.1228
11FKS019140.43737.603
12FKS031140.81337.3364
13IBR001140.35736.7761
14MYG012141.01938.3175
15MYG013140.92938.2663
16MYG014140.63638.3177
17MYG015140.8738.1049
18MYG017140.78237.9763
19TCG009139.71536.7258
20TCG014140.17436.545
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