Urgent Need of Submarine Landslide Risk Monitoring after 2025 Mega-quake off Coast of Kamchatka

References

[1] Bai Y Z, Xu C. Qualitative Analyses of Correlations between Strong Ground Motions of the Three Large Earthquakes and Landslide Distributions. Journal of Earth Science, 2023, 34(2): 369-380.

[2] Battaglini L, D’Angelo S, Fiorentino A. Mapping Geological Events in Submerged Areas. Quarterly Journal of Engineering Geology and Hydrogeology, 2021, 54: qjegh2020-031.

[3] CEBCO. The General Bathymetric Chart of the Oceans, 2023

[4] Cecioni C, Iorio V, Bellotti G, et al.. Probabilistic Landslide Tsunami Modeling of the 2018 Palu Bay Event. Coastal Engineering, 2023, 183: 104332.

[5] Chebrova A Y, Chebrov V N, Gusev A A, et al.. The Impacts of the M_w 8.3 Sea of Okhotsk Earthquake of May 24, 2013 in Kamchatka and Worldwide. Journal of Volcanology and Seismology, 2015, 9(4): 223-241.

[6] Chen G X, Li J, Chen J X, et al.. High-Precision Sub-Seafloor Velocity Building Based on Joint Tomography and Deep Learning on OBS Data in the South China Sea. Journal of Earth Science, 2025, 36(2): 830-834.

[7] Du P, Li L L, Kopf A, et al.. Earthquake-Induced Submarine Landslides (EQISLs) and a Comparison with Their Terrestrial Counterparts: Insights from a New Database. Earth-Science Reviews, 2025, 261: 105021.

[8] Feng P F, Li C D, Zhang S, et al.. Integrating Shipborne Images with Multichannel Deep Learning for Landslide Detection. Journal of Earth Science, 2024, 35(1): 296-300.

[9] Gatter R, Clare M A, Kuhlmann J, et al.. Characterisation of Weak Layers, Physical Controls on Their Global Distribution and Their Role in Submarine Landslide Formation. Earth-Science Reviews, 2021, 223: 103845.

[10] Gnibidenko H, Bykova T G, Veselov O V, et al.. The Tectonics of the Kuril-Kamchatka Deep-Sea Trench. Geodynamics of the Western Pacific-Indonesian Region, 1983. Washington, D.C., American Geophysical Union: 249-285.

[11] Gong W F, Ruan A G, Niu X W, et al.. Preliminary Results of the Seismicity Monitoring Experiment around the 2019 M_w 5.4 Earthquake Epicenter in the Central South China Sea Basin. Journal of Earth Science, 2024, 35(1): 212-220.

[12] Guo X S, Liu X L, Zhang H, et al.. Evaluation of Instantaneous Impact Forces on Fixed Pipelines from Submarine Slumps. Landslides, 2022, 19(12): 2889-2903.

[13] Jeong K H, Lee H S. Ground-Motion Prediction Equation for South Korea Based on Recent Earthquake Records. Earthquakes and Structures, 2018, 15(1): 29-44

[14] Li B C, Li C D, Liu Y, et al.. Harnessing Distributed Deep Learning for Landslide Displacement Prediction: A Multi-Model Collaborative Approach Amidst Data Silos. Journal of Earth Science, 2024, 35(5): 1770-1775.

[15] Liu X L, Wang Y Y, Zhang H, et al.. Susceptibility of Typical Marine Geological Disasters: An Overview. Geoenvironmental Disasters, 2023, 10: 10.

[16] Liu X T, Wang H J, Liu J R, et al.. Microbial Sulfate Reduction and Its Role in Carbon Sequestration in Marine Sediments. Journal of Earth Science, 2024, 35(4): 1378-1381.

[17] MacInnes B T, Weiss R, Bourgeois J, et al.. Slip Distribution of the 1952 Kamchatka Great Earthquake Based on Near-Field Tsunami Deposits and Historical Records. Bulletin of the Seismological Society of America, 2010, 100(4): 1695-1709.

[18] Meng X S, Liu X L, Wang Y Y, et al.. Submarine Landslide Susceptibility Assessment Integrating Frequency Ratio with Supervised Machine Learning Approach. Applied Ocean Research, 2024, 153: 104237.

[19] Mousavi S M, Sheng Y X, Zhu W Q, et al.. STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI. IEEE Access, 2019, 7: 179464-179476.

[20] Pavlenko V A, Kijko A. Comparative Study of Three Probabilistic Methods for Seismic Hazard Analysis: Case Studies of Sochi and Kamchatka. Natural Hazards, 2019, 97(2): 775-791.

[21] Salaree A, Okal E A. The “Tsunami Earthquake” of 13 April 1923 in Northern Kamchatka: Seismological and Hydrodynamic Investigations. Pure and Applied Geophysics, 2018, 175(4): 1257-1285.

[22] Stanley T A, Kirschbaum D B, Benz G, et al.. Data-Driven Landslide Nowcasting at the Global Scale. Frontiers in Earth Science, 2021, 9: 640043.

[23] Styron R, Pagani M. The GEM Global Active Faults Database. Earthquake Spectra, 2020, 36(1S): 160-180.

[24] Sun Q L. How does Global Warming Influence Seafloor Stability. Journal of Earth Science, 2023, 34(5): 1624-1625.

[25] Vuong T H N, Wu T R, Wang C Y, et al.. Modeling the Slump-Type Landslide Tsunamis Part II: Numerical Simulation of Tsunamis with Bingham Landslide Model. Applied Sciences, 2020, 10(19): 6872.

[26] Wang H J, Zhang L M, Wang L, et al.. Machine Learning Powered High-Resolution Co-Seismic Landslide Detection. Gondwana Research, 2023, 123: 217-237.

[27] Wang K S, Shi X F, Zou J J, et al.. Spatial Distribution and Provenance of Detrital Minerals of Surface Sediment in the Okhotsk Sea. Frontiers in Earth Science, 2021, 9: 636850.

[28] Ye L L, Lay T, Kanamori H. The 25 March 2020 M 7.5 Paramushir, Northern Kuril Islands Earthquake and Major (M ⩾ 7.0) Near-Trench Intraplate Compressional Faulting. Earth and Planetary Science Letters, 2021, 556: 116728.

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