Geophysical Monitoring of Moisture-Induced Landslides: A Review

Whiteley, J. S.; Chambers, J. E.; Uhlemann, S.; Wilkinson, P. B.; Kendall, J. M.

doi:10.1029/2018rg000603

Title: Geophysical Monitoring of Moisture-Induced Landslides: A Review

Journal Article · 07 January 2019 · Reviews of Geophysics (1985)

DOI: https://doi.org/10.1029/2018rg000603 · OSTI ID:1571979

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British Geological Survey, Nottingham (United Kingdom). Environmental Science Centre; Univ. of Bristol, Bristol (United Kingdom). School of Earth Sciences
British Geological Survey, Nottingham (United Kingdom). Environmental Science Centre
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
British Geological Survey, Nottingham (United Kingdom). Environmental Science Centre
Univ. of Bristol, Bristol (United Kingdom). School of Earth Sciences

Geophysical monitoring of landslides can provide insights into spatial and temporal variations of subsurface properties associated with slope failure. Recent improvements in equipment, data analysis, and field operations have led to a significant increase in the use of such techniques in monitoring. Geophysical methods complement intrusive approaches, which sample only a very small proportion of the subsurface, and walk-over or remotely sensed data, which principally provide information only at the ground surface. In particular, recent studies show that advances in geophysical instrumentation, data processing, modeling, and interpretation in the context of landslide monitoring are significantly improving the characterization of hillslope hydrology and soil and rock hydrology and strength and their dynamics over time. This review appraises the state of the art of geophysical monitoring, as applied to moisture-induced landslides. Here we focus on technical and practical uses of time-lapse methods in geophysics applied to monitoring moisture-induced landslide. The case studies identified in this review show that several geophysical techniques are currently used in the monitoring of subsurface landslide processes. These geophysical contributions to monitoring and predicting the evolution of landslide processes are currently underrealized. Hence, the further integration of multiple-parametric and geotechnically coupled geophysical monitoring systems has considerable potential. The complementary nature of certain methods to map the distribution of subsurface moisture and elastic moduli will greatly increase the predictive and monitoring capacity of early warning systems in moisture-induced landslide settings.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1571979

Journal Information:: Reviews of Geophysics (1985), Journal Name: Reviews of Geophysics (1985) Journal Issue: 1 Vol. 57; ISSN 8755-1209

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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Tutorial on seismic interferometry: Part 1 — Basic principles and applications Wapenaar, Kees; Draganov, Deyan; Snieder, Roel GEOPHYSICS, Vol. 75, Issue 5 https://doi.org/10.1190/1.3457445	journal	September 2010
Time-lapse monitoring of climate effects on earthworks using surface waves Bergamo, Paolo; Dashwood, Ben; Uhlemann, Sebastian GEOPHYSICS, Vol. 81, Issue 2 https://doi.org/10.1190/geo2015-0275.1	journal	March 2016
Monitoring the stability of tailings dam walls with ambient seismic noise Olivier, Gerrit; Brenguier, Florent; de Wit, Tjaart The Leading Edge, Vol. 36, Issue 4 https://doi.org/10.1190/tle36040350a1.1	journal	April 2017
A long-term field study for the investigation of rainfall-induced landslides Springman, S. M.; Thielen, A.; Kienzler, P. Géotechnique, Vol. 63, Issue 14 https://doi.org/10.1680/geot.11.P.142	journal	November 2013
Undrained Loading, A Fundamental Mechanism of Mudflows and other Mass Movements Hutchinson, J. N.; Bhandari, R. K. Géotechnique, Vol. 21, Issue 4 https://doi.org/10.1680/geot.1971.21.4.353	journal	December 1971
Time-lapse monitoring of internal erosion in earthen dams and levees using ambient seismic noise Planès, T.; Mooney, M. A.; Rittgers, J. B. R. Géotechnique, Vol. 66, Issue 4 https://doi.org/10.1680/jgeot.14.P.268	journal	April 2016
Location of Seismic Signals Associated with Microearthquakes and Rockfalls on the Sechilienne Landslide, French Alps Lacroix, P.; Helmstetter, A. Bulletin of the Seismological Society of America, Vol. 101, Issue 1 https://doi.org/10.1785/0120100110	journal	January 2011
MSNoise, a Python Package for Monitoring Seismic Velocity Changes Using Ambient Seismic Noise Lecocq, T.; Caudron, C.; Brenguier, F. Seismological Research Letters, Vol. 85, Issue 3 https://doi.org/10.1785/0220130073	journal	May 2014
Roadside Passive Multichannel Analysis of Surface Waves (MASW) Park, C. B.; Miller, R. D. Journal of Environmental & Engineering Geophysics, Vol. 13, Issue 1 https://doi.org/10.2113/JEEG13.1.1	journal	March 2008
Slidequake Generation versus Viscous Creep at Softrock-landslides: Synopsis of Three Different Scenarios at Slumgullion Landslide, Heumoes Slope, and Super-Sauze Mudslide Walter, M.; Gomberg, J.; Schulz, W. Journal of Environmental & Engineering Geophysics, Vol. 18, Issue 4 https://doi.org/10.2113/JEEG18.4.269	journal	November 2013
Geophysical investigation of landslides : a review Jongmans, Denis; Garambois, Stéphane Bulletin de la Societe Geologique de France, Vol. 178, Issue 2 https://doi.org/10.2113/gssgfbull.178.2.101	journal	March 2007
Understanding mudslides through micro-seismic monitoring: the Super-Sauze (South-East French Alps) case study Amitrano, David; Gaffet, Stéphane; Malet, Jean-Philippe Bulletin de la Societe Geologique de France, Vol. 178, Issue 2 https://doi.org/10.2113/gssgfbull.178.2.149	journal	March 2007
Electrical Conductivities in Oil-Bearing Shaly Sands Waxman, M. H.; Smits, L. J. M. Society of Petroleum Engineers Journal, Vol. 8, Issue 02 https://doi.org/10.2118/1863-A	journal	June 1968
Mapping Rainfall-Triggered Slidequakes and Seismic Landslide-Volume Estimation at Heumoes Slope Walter, M.; Walser, M.; Joswig, M. Vadose Zone Journal, Vol. 10, Issue 2 https://doi.org/10.2136/vzj2009.0147	journal	January 2011
Development and testing of displacement inversion to track electrode movements on 3-D electrical resistivity tomography monitoring grids Wilkinson, Paul B.; Uhlemann, Sebastian S.; Chambers, Jonathan E. ETH Zurich https://doi.org/10.3929/ethz-b-000094940	text	January 2015
Landslide early warning based on failure forecast models: the example of the Mt. de La Saxe rockslide, northern Italy Manconi, Andrea; Giordan, Daniele ETH Zurich https://doi.org/10.3929/ethz-b-000103464	text	January 2015
Application of geotechnical and geophysical field measurements in an active alpine environment Lucas, Daisy R.; Fankhauser, Kerstin; Springman, Sarah M. ETH Zurich https://doi.org/10.3929/ethz-b-000215131	text	January 2017
Geoelectrical monitoring: an innovative method to supplement landslide surveillance and early warning Supper, Robert; Ottowitz, David; Jochum, Birgit Near Surface Geophysics, Vol. 12, Issue 1 https://doi.org/10.3997/1873-0604.2013060	journal	September 2013
2D characterization of near‐surface : surface‐wave dispersion inversion versus refraction tomography Pasquet, Sylvain; Bodet, Ludovic; Longuevergne, Laurent Near Surface Geophysics, Vol. 13, Issue 4 https://doi.org/10.3997/1873-0604.2015028	journal	January 2015
Remote Condition Assessment of Geotechnical Assets Using a New Low-power ERT Monitoring System Chambers, J. E.; Meldrum, P. I.; Wilkinson, P. B. Near Surface Geoscience 2016 - 22nd European Meeting of Environmental and Engineering Geophysics, Proceedings https://doi.org/10.3997/2214-4609.201602048	conference	September 2016
Single-block rockfall dynamics inferred from seismic signal analysis Hibert, Clément; Malet, Jean-Philippe; Bourrier, Franck Earth Surface Dynamics, Vol. 5, Issue 2 https://doi.org/10.5194/esurf-5-283-2017	journal	January 2017
Application and reliability of techniques for landslide site investigation, monitoring and early warning – outcomes from a questionnaire study Baroň, I.; Supper, R. Natural Hazards and Earth System Sciences, Vol. 13, Issue 12 https://doi.org/10.5194/nhess-13-3157-2013	journal	January 2013
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Landslide early warning based on failure forecast models: the example of the Mt. de La Saxe rockslide, northern Italy Manconi, A.; Giordan, D. Natural Hazards and Earth System Sciences, Vol. 15, Issue 7 https://doi.org/10.5194/nhess-15-1639-2015	journal	January 2015
Global fatal landslide occurrence from 2004 to 2016 Froude, Melanie J.; Petley, David N. Natural Hazards and Earth System Sciences, Vol. 18, Issue 8 https://doi.org/10.5194/nhess-18-2161-2018	journal	January 2018
Forecasting the behaviour of complex landslides with a spatially distributed hydrological model Malet, J. -P.; van Asch, Th. W. J.; van Beek, R. Natural Hazards and Earth System Science, Vol. 5, Issue 1 https://doi.org/10.5194/nhess-5-71-2005	journal	January 2005
Seismic detection and characterization of landslides and other mass movements Suriñach, E.; Vilajosana, I.; Khazaradze, G. Natural Hazards and Earth System Science, Vol. 5, Issue 6 https://doi.org/10.5194/nhess-5-791-2005	journal	January 2005

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