Articles | Volume 15, issue 6
https://doi.org/10.5194/nhess-15-1265-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-1265-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Dynamics of the Oso-Steelhead landslide from broadband seismic analysis
C. Hibert
CORRESPONDING AUTHOR
Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
C. P. Stark
Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
G. Ekström
Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
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Cited
49 citations as recorded by crossref.
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- Enhanced landslide mobility by basal liquefaction: The 2014 State Route 530 (Oso), Washington, landslide B. Collins & M. Reid 10.1130/B35146.1
- Broadband-seismic analysis of a massive landslide in southwestern China: Dynamics and fragmentation implications Z. Li et al. 10.1016/j.geomorph.2019.03.024
- The 28 November 2020 Landslide, Tsunami, and Outburst Flood – A Hazard Cascade Associated With Rapid Deglaciation at Elliot Creek, British Columbia, Canada M. Geertsema et al. 10.1029/2021GL096716
- A rockslide-generated tsunami in a Greenland fjord rang Earth for 9 days K. Svennevig et al. 10.1126/science.adm9247
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- The 22 December 2018 tsunami from flank collapse of Anak Krakatau volcano during eruption L. Ye et al. 10.1126/sciadv.aaz1377
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- Laboratory Landquakes: Insights From Experiments Into the High‐Frequency Seismic Signal Generated by Geophysical Granular Flows M. Arran et al. 10.1029/2021JF006172
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- Direct observations of a three million cubic meter rock-slope collapse with almost immediate initiation of ensuing debris flows F. Walter et al. 10.1016/j.geomorph.2019.106933
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- Using surface waves recorded by a large mesh of three-element arrays to detect and locate disparate seismic sources W. Fan et al. 10.1093/gji/ggy316
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- Characteristics of the Seismic Signal Generated by Fragmental Rockfalls: Insight From Laboratory Experiments Q. Lin et al. 10.1029/2022JB025096
- Case Study: Oso, Washington, Landslide of March 22, 2014—Material Properties and Failure Mechanism T. Stark et al. 10.1061/(ASCE)GT.1943-5606.0001615
- Runout evaluation of Oso landslide with the material point method A. Yerro et al. 10.1139/cgj-2017-0630
- The 2016 Lamplugh rock avalanche, Alaska: deposit structures and emplacement dynamics A. Dufresne et al. 10.1007/s10346-019-01225-4
- Exploration of continuous seismic recordings with a machine learning approach to document 20 yr of landslide activity in Alaska C. Hibert et al. 10.1093/gji/ggz354
44 citations as recorded by crossref.
- Seismic Energy Analysis as Generated by Impact and Fragmentation of Single‐Block Experimental Rockfalls L. Saló et al. 10.1029/2017JF004374
- The relationship between bulk‐mass momentum and short‐period seismic radiation in catastrophic landslides C. Hibert et al. 10.1002/2016JF004027
- Dynamics of the Wulong landslide revealed by broadband seismic records Z. Li et al. 10.1186/s40623-017-0610-x
- Evolution of a giant debris flow in the transitional mountainous region between the Tibetan Plateau and the Qinling Mountain range, Western China: Constraints from broadband seismic records X. Huang et al. 10.1016/j.jseaes.2017.08.031
- Discussion of “Case Study: Oso, Washington, Landslide of March 22, 2014—Material Properties and Failure Mechanism” by Timothy D. Stark, Ahmed K. Baghdady, Oldrich Hungr, and Jordan Aaron R. Iverson 10.1061/(ASCE)GT.1943-5606.0001917
- Single-block rockfall dynamics inferred from seismic signal analysis C. Hibert et al. 10.5194/esurf-5-283-2017
- Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 “6.24” Xinmo landslide Y. Yan et al. 10.1016/j.enggeo.2020.105582
- A Joint Seismic and Space‐Based Investigation of the 2016 Lamplugh Glacier and 2017 Wrangell Mountains (Alaska) Landslides X. Luo et al. 10.1029/2022JF006903
- Enhanced landslide mobility by basal liquefaction: The 2014 State Route 530 (Oso), Washington, landslide B. Collins & M. Reid 10.1130/B35146.1
- Broadband-seismic analysis of a massive landslide in southwestern China: Dynamics and fragmentation implications Z. Li et al. 10.1016/j.geomorph.2019.03.024
- The 28 November 2020 Landslide, Tsunami, and Outburst Flood – A Hazard Cascade Associated With Rapid Deglaciation at Elliot Creek, British Columbia, Canada M. Geertsema et al. 10.1029/2021GL096716
- A rockslide-generated tsunami in a Greenland fjord rang Earth for 9 days K. Svennevig et al. 10.1126/science.adm9247
- Estimation of dynamic friction and movement history of large landslides M. Yamada et al. 10.1007/s10346-018-1002-4
- Discussion of “Case Study: Oso, Washington, Landslide of March 22, 2014—Material Properties and Failure Mechanism” by Timothy D. Stark, Ahmed K. Baghdady, Oldrich Hungr, and Jordan Aaron J. Keaton et al. 10.1061/(ASCE)GT.1943-5606.0001919
- Oso, Washington, Landslide of March 22, 2014: Dynamic Analysis J. Aaron et al. 10.1061/(ASCE)GT.1943-5606.0001748
- AI-powered automatic detection of dynamic triggering of earthquake based on microseismic monitoring F. Jiang et al. 10.1016/j.soildyn.2022.107723
- Variation patterns of landslide basal friction revealed from long-period seismic waveform inversion D. Yu et al. 10.1007/s11069-019-03813-y
- A framework for temporal and spatial rockfall early warning using micro-seismic monitoring L. Feng et al. 10.1007/s10346-020-01534-z
- 3D analysis of 2014 Oso landslide P. Kargar et al. 10.1016/j.enggeo.2021.106100
- Analysis of the 2017 June Maoxian landslide processes with force histories from seismological inversion and terrain features J. Zhao et al. 10.1093/gji/ggaa269
- Identifying landslides from continuous seismic surface waves: a case study of multiple small-scale landslides triggered by Typhoon Talas, 2011 R. Okuwaki et al. 10.1093/gji/ggab129
- Machine learning prediction of the mass and the velocity of controlled single-block rockfalls from the seismic waves they generate C. Hibert et al. 10.5194/esurf-12-641-2024
- Seismic Advances in Process Geomorphology K. Cook & M. Dietze 10.1146/annurev-earth-032320-085133
- Earthquake hazard and risk analysis for natural and induced seismicity: towards objective assessments in the face of uncertainty J. Bommer 10.1007/s10518-022-01357-4
- A large frozen debris avalanche entraining warming permafrost ground—the June 2021 Assapaat landslide, West Greenland K. Svennevig et al. 10.1007/s10346-022-01922-7
- The 22 December 2018 tsunami from flank collapse of Anak Krakatau volcano during eruption L. Ye et al. 10.1126/sciadv.aaz1377
- 2014 Canadian Geotechnical Colloquium: Landslide runout analysis — current practice and challenges S. McDougall 10.1139/cgj-2016-0104
- Laboratory Landquakes: Insights From Experiments Into the High‐Frequency Seismic Signal Generated by Geophysical Granular Flows M. Arran et al. 10.1029/2021JF006172
- RETRACTED: Reconstructing the Dynamic Processes of the Taimali Landslide in Taiwan Using the Waveform Inversion Method G. Lin & C. Hung 10.3390/app10175872
- Formation mechanism and dynamic process of open-pit coal mine landslides: a case study of the Xinjing landslide in Inner Mongolia, China Q. Wang et al. 10.1007/s10346-023-02193-6
- Closure to “Case Study: Oso, Washington, Landslide of March 22, 2014—Material Properties and Failure Mechanism” by Timothy D. Stark, Ahmed K. Baghdady, Oldrich Hungr, and Jordan Aaron T. Stark et al. 10.1061/(ASCE)GT.1943-5606.0001920
- Reconstruction of the 2018 tsunamigenic flank collapse and eruptive activity at Anak Krakatau based on eyewitness reports, seismo-acoustic and satellite observations A. Perttu et al. 10.1016/j.epsl.2020.116268
- The 22 March 2014 Oso landslide, Washington, USA J. Wartman et al. 10.1016/j.geomorph.2015.10.022
- Direct observations of a three million cubic meter rock-slope collapse with almost immediate initiation of ensuing debris flows F. Walter et al. 10.1016/j.geomorph.2019.106933
- Broad-band seismic analysis and modeling of the 2015 Taan Fjord, Alaska landslide using Instaseis L. Gualtieri & G. Ekström 10.1093/gji/ggy086
- Using surface waves recorded by a large mesh of three-element arrays to detect and locate disparate seismic sources W. Fan et al. 10.1093/gji/ggy316
- Insights on Multistage Rock Avalanche Behavior From Runout Modeling Constrained by Seismic Inversions A. Mitchell et al. 10.1029/2021JB023444
- Effects of mass entrainment on the estimation of landslide parameters from long-period seismic inversion X. Wang et al. 10.1007/s10950-023-10165-5
- Seismic monitoring system for landslide hazard assessment and risk management at the drainage plant of the Peschiera Springs (Central Italy) R. Iannucci et al. 10.1016/j.enggeo.2020.105787
- Seismic signature of the deadly snow avalanche of January 18, 2017, at Rigopiano (Italy) T. Braun et al. 10.1038/s41598-020-75368-z
- Dynamics of the Askja caldera July 2014 landslide, Iceland, from seismic signal analysis: precursor, motion and aftermath A. Schöpa et al. 10.5194/esurf-6-467-2018
- Impact‐Induced Liquefaction Mechanism of Sandy Silt at Different Saturations H. Li et al. 10.1155/2021/6686339
- When hazard avoidance is not an option: lessons learned from monitoring the postdisaster Oso landslide, USA M. Reid et al. 10.1007/s10346-021-01686-6
- Combining seismic signal dynamic inversion and numerical modeling improves landslide process reconstruction Y. Yan et al. 10.5194/esurf-10-1233-2022
5 citations as recorded by crossref.
- Characteristics of the Seismic Signal Generated by Fragmental Rockfalls: Insight From Laboratory Experiments Q. Lin et al. 10.1029/2022JB025096
- Case Study: Oso, Washington, Landslide of March 22, 2014—Material Properties and Failure Mechanism T. Stark et al. 10.1061/(ASCE)GT.1943-5606.0001615
- Runout evaluation of Oso landslide with the material point method A. Yerro et al. 10.1139/cgj-2017-0630
- The 2016 Lamplugh rock avalanche, Alaska: deposit structures and emplacement dynamics A. Dufresne et al. 10.1007/s10346-019-01225-4
- Exploration of continuous seismic recordings with a machine learning approach to document 20 yr of landslide activity in Alaska C. Hibert et al. 10.1093/gji/ggz354
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Latest update: 13 Dec 2024
Short summary
We carry out a study of the seismic signals generated by the devastating Oso-Steelhead landslides. We invert the long-period seismic signals generated by the first main event and obtain estimates of its trajectory, kinematics and mass. No distinct long-period surface waves were recorded for the second failure, which prevents inversion for its source parameters. However, from the comparison of the energy of the short-period waves generated by both events, we can estimate the volume of the second.
We carry out a study of the seismic signals generated by the devastating Oso-Steelhead...
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