Focal mechanics and disaster characteristics of the 2024 M 7.6 Noto Peninsula Earthquake, Japan
Guang-qi CHEN, Yan-qiang WU, Ming-yao XIA, Zhi-yuan LI
Focal mechanics and disaster characteristics of the 2024 M 7.6 Noto Peninsula Earthquake, Japan
On January 1, 2024, a devastating M 7.6 earthquake struck the Noto Peninsula, Ishikawa Prefecture, Japan, resulting in significant casualties and property damage. Utilizing information from the first six days after the earthquake, this article analyzes the seismic source characteristics, disaster situation, and emergency response of this earthquake. The results show: 1) The earthquake rupture was of the thrust type, with aftershock distribution showing a north-east-oriented belt-like feature of 150 km. 2) Global Navigation Satellite System (GNSS) and Interferometric synthetic aperture radar (InSAR), observations detected significant westward to north-westward co-seismic displacement near the epicenter, with the maximum horizontal displacement reaching 1.2 m and the vertical uplift displacement reaching 4 m. A two-segment fault inversion model fits the observational data well. 3) Near the epicenter, large Peak Ground Velocity (PGV) and Peak Ground Acceleration (PGA) were observed, with the maxima reaching 145 cm/s and 2681 gal, respectively, and the intensity reached the highest level 7 on the Japanese (Japan Meteorological Agency, JMA) intensity standard, which is higher than level 10 of the United States Geological Survey (USGS) Modified Mercalli Intensity (MMI) standard. 4) The observation of the very rare multiple strong pulse-like ground motion (PLGM) waveform poses a topic worthy of research in the field of earthquake engineering. 5) As of January 7, the earthquake had left 128 deaths and 560 injuries in Ishikawa Prefecture, with 1305 buildings completely or partially destroyed, and had triggered a chain of disasters including tsunamis, fires, slope failures, and road damage. Finally, this paper summarizes the emergency rescue, information dissemination, and other disaster response and management measures taken in response to this earthquake. This work provides a reference case for carrying out effective responses, and offers lessons for handling similar events in the future.
Noto Peninsula Earthquake / earthquake rupture mechanism / earthquake disaster / emergency response / pulse-like ground motion
[1] |
JapanMeteorological Agency (JMA). On the Damage and Response to the Reiwa 6 Noto Peninsula Earthquake (8th Report). Regarding the Damage and Response to the 2024 Noto Peninsula Earthquake Report 8. 2024 (in Japanese)
|
[2] |
Ma J X. Reconstruction of tunnel damaged by sea surface earthquake in Noteng Peninsula: Kinoura Tunnel on Otani Noya Iida Line. World Tunnel, 1997, 6: 57
|
[3] |
Scholz C H. Earthquakes and friction laws. Nature, 1998, 39: 37–42
CrossRef
Google scholar
|
[4] |
SegallP. Earthquake and Volcano Deformation. Princeton, NJ: Princeton University Press, 2010
|
[5] |
Fan X, Juang C H, Wasowski J, Huang R, Xu Q, Scaringi G, van Westen C J, Havenith H B. What we have learned from the 2008 Wenchuan Earthquake and its aftermath: A decade of research and challenges. Engineering Geology, 2018, 241: 25–32
CrossRef
Google scholar
|
[6] |
Wang Y. Lessons learned from the “5.12” Wenchuan Earthquake: Evaluation of earthquake performance objectives and the importance of seismic conceptual design principles. Earthquake Engineering and Engineering Vibration, 2008, 7(3): 255–262
CrossRef
Google scholar
|
[7] |
LiuWYamazakiF. Detection of landslides induced by the 2018 Hokkaido Eastern Iburi Earthquake using multi-temporal ALOS-2 imagery. In: Proceedings of 2020 IEEE International Geoscience and Remote Sensing Symposium. New York: IEEE, 2020
|
[8] |
Watabe Y, Nishimura S. Ground movements and damage in Satozuka district, Sapporo due to 2018 Hokkaido Eastern Iburi Earthquake. Soil and Foundation, 2020, 60(5): 1331–1356
CrossRef
Google scholar
|
[9] |
Chen Y, Nakatsugawa M, Ohashi H. Research of impacts of the 2018 Hokkaido Eastern Iburi Earthquake on sediment transport in the Atsuma River basin using the SWAT model. Water, 2021, 13(3): 356
CrossRef
Google scholar
|
[10] |
YamazakiFLiuW. Remote sensing technologies for post-earthquake damage assessment: A case study on the 2016 Kumamoto earthquake. In: Proceedings of the 6th ASIA Conference on Earthquake Engineering. Cebu: ASEP, 2016
|
[11] |
Wang Z, Zhao D, Liu X, Li X. Seismic attenuation tomography of the source zone of the 2016 Kumamoto earthquake (M 7.3). Journal of Geophysical Research. Solid Earth, 2017, 122(4): 2988–3007
CrossRef
Google scholar
|
[12] |
Miyabuchi Y. Landslide disaster triggered by the 2016 Kumamoto earthquake in and around Minamiaso village, western part of Aso caldera, southwestern Japan. Journal of Geography, 2016, 125(3): 421–429
CrossRef
Google scholar
|
[13] |
Chen G, Xia M, Thuy D T, Zhang Y. A possible mechanism of earthquake-induced landslides focusing on pulse-like ground motions. Landslides, 2021, 18(5): 1641–1657
CrossRef
Google scholar
|
[14] |
Li Z, Chen G, Han Z, Hazarika H, Xia M, Feng C. The influence of pulse-like ground motion caused by the directivity effect on landslide triggering. Bulletin of Engineering Geology and the Environment, 2024, 83(1): 48
CrossRef
Google scholar
|
[15] |
FanXWangXDaiLFangCDengYZouCTangMWeiZDouXZhangJ,
|
[16] |
SongJLiuYDongXYuanY. Spatial distribution of co-seismic landslide in densely populated area of the “9.5” Luding earthquake. Bulletin of Geological Science and Technology (in Press) (in Chinese)
|
[17] |
ChenBSongCChenYLiZYuCLiuHJiangHLiuZCaiXNaiY,
|
[18] |
GeospatialInformation Authority of Japan (GSI). Co-seismic displacement results and fault rupture model of the M7.6 Noto Peninsula Earthquake on January 1, 2024. 2024. Available at the website of GSI
|
[19] |
LiZHazarikaHChenGHanZFengC. Influence of fault rupture velocity on directivity effect in near-fault ground motion. In: Proceedings of the 57th US Rock Mechanics/Geomechanics Symposium. Atlanta, GA: ARMA, 2023
|
[20] |
LiZHazarikaHChenGHanZFengC. The strongest pulse identification algorithm based on the maximum PGV of three orthogonal components. In: Hazarika H, Haigh S K, Chaudhary B, Murai M, Manandhar S, eds. Natural Geo-Disasters and Resiliency. Lecture Notes in Civil Engineering, Vol 445. Singapore: Springer Singapore, 2024
|
[21] |
Shahi S K, Baker J W. An efficient algorithm to identify strong-velocity pulses in multicomponent ground motions. Bulletin of the Seismological Society of America, 2014, 104(5): 2456–2466
CrossRef
Google scholar
|
[22] |
Baker J W. Quantitative classification of near-fault ground motions using wavelet analysis. Bulletin of the Seismological Society of America, 2007, 97(5): 1486–1501
CrossRef
Google scholar
|
[23] |
IshikawaPrefectural Government. The damage information in the 2024 Noto Peninsula earthquake. 2024. Available at the website of Ishikawa Prefectural Government (in Japanese)
|
[24] |
Ministryof LandInfrastructureof Japan (MLIT)Transport
|
[25] |
Japan Broadcasting CorporationNHK. Status of victims 3 days after the Noto Earthquake. 2024. Available at the website of NHK (in Japanese)
|
/
〈 | 〉 |