Landslides, also known as landslips,[1][2][3] are several forms of mass wasting that may include a wide range of ground movements, such as rockfalls, deep-seated slope failures, mudflows, and debris flows.[4] Landslides occur in a variety of environments, characterized by either steep or gentle slope gradients, from mountain ranges to coastal cliffs or even underwater,[5] in which case they are called submarine landslides. Gravity is the primary driving force for a landslide to occur, but there are other factors affecting slope stability that produce specific conditions that make a slope prone to failure. In many cases, the landslide is triggered by a specific event (such as a heavy rainfall, an earthquake, a slope cut to build a road, and many others), although this is not always identifiable.

A landslide near Cusco, Peru, in 2018
A NASA model has been developed to look at how potential landslide activity is changing around the world.


The Mameyes Landslide, in the Mameyes neighborhood of barrio Portugués Urbano in Ponce, Puerto Rico, was caused by extensive accumulation of rains and, according to some sources, lightning. It buried more than 100 homes.

Landslides occur when the slope (or a portion of it) undergoes some processes that change its condition from stable to unstable. This is essentially due to a decrease in the shear strength of the slope material, an increase in the shear stress borne by the material, or a combination of the two. A change in the stability of a slope can be caused by a number of factors, acting together or alone. Natural causes of landslides include:

  • saturation by rain water infiltration, snow melting, or glaciers melting;[6]
  • rising of groundwater or increase of pore water pressure (e.g. due to aquifer recharge in rainy seasons, or by rain water infiltration);[7]
  • increase of hydrostatic pressure in cracks and fractures;[7][8]
  • loss or absence of vertical vegetative structure, soil nutrients, and soil structure (e.g. after a wildfire – a fire in forests lasting for 3–4 days);[9]
  • erosion of the top of a slope by rivers or sea waves;[10]
  • physical and chemical weathering (e.g. by repeated freezing and thawing, heating and cooling, salt leaking in the groundwater or mineral dissolution);[11][12][13]
  • ground shaking caused by earthquakes, which can destabilize the slope directly (e.g., by inducing soil liquefaction) or weaken the material and cause cracks that will eventually produce a landslide;[8][14][15]
  • volcanic eruptions;[16]

Landslides are aggravated by human activities, such as:

The landslide at Surte in Sweden, 1950. It was a quick clay slide that killed one person.
  • temporal variation in land use and land cover (LULC): it includes the human abandonment of farming areas, e.g. due to the economic and social transformations which occurred in Europe after the Second World War. Land degradation and extreme rainfall can increase the frequency of erosion and landslide phenomena.[19]


Hungr-Leroueil-Picarelli classification

In traditional usage, the term landslide has at one time or another been used to cover almost all forms of mass movement of rocks and regolith at the Earth's surface. In 1978, geologist David Varnes noted this imprecise usage and proposed a new, much tighter scheme for the classification of mass movements and subsidence processes.[20] This scheme was later modified by Cruden and Varnes in 1996,[21] and refined by Hutchinson (1988),[22] Hungr et al. (2001),[23] and finally by Hungr, Leroueil and Picarelli (2014).[4] The classification resulting from the latest update is provided below.

Type of movement Rock Soil
Fall Rock/ice fall Boulder/debris/silt fall
Topple Rock block topple Gravel/sand/silt topple
Rock flexural topple
Slide Rock rotational slide Clay/silt rotational slide
Rock planar slide Clay/silt planar slide
Rock wedge slide Gravel/sand/debris slide
Rock compound slide Clay/silt compound slide
Rock irregular slide
Spread Rock slope spread Sand/silt liquefaction spread
Sensitive clay spread
Flow Rock/ice avalanche Sand/silt/debris dry flow
Sand/silt/debris flowslide
Sensitive clay flowslide
Debris flow
Mud flow
Debris flood
Debris avalanche
Peat flow
Slope deformation Mountain slope deformation Soil slope deformation
Rock slope deformation Soil creep
Note: the words in italics are placeholders. Use only one.

Under this classification, six types of movement are recognized. Each type can be seen both in rock and in soil. A fall is a movement of isolated blocks or chunks of soil in free-fall. The term topple refers to blocks coming away by rotation from a vertical face. A slide is the movement of a body of material that generally remains intact while moving over one or several inclined surfaces or thin layers of material (also called shear zones) in which large deformations are concentrated. Slides are also sub-classified by the form of the surface(s) or shear zone(s) on which movement happens. The planes may be broadly parallel to the surface ("planar slides") or spoon-shaped ("rotational slides"). Slides can occur catastrophically, but movement on the surface can also be gradual and progressive. Spreads are a form of subsidence, in which a layer of material cracks, opens up, and expands laterally. Flows are the movement of fluidised material, which can be both dry or rich in water (such as in mud flows). Flows can move imperceptibly for years, or accelerate rapidly and cause disasters. Slope deformations are slow, distributed movements that can affect entire mountain slopes or portions of it. Some landslides are complex in the sense that they feature different movement types in different portions of the moving body, or they evolve from one movement type to another over time. For example, a landslide can initiate as a rock fall or topple and then, as the blocks disintegrate upon the impact, transform into a debris slide or flow. An avalanching effect can also be present, in which the moving mass entrains additional material along its path.


Slope material that becomes saturated with water may produce a debris flow or mud flow. However, also dry debris can exhibit flow-like movement.[24] Flowing debris or mud may pick up trees, houses and cars, and block bridges and rivers causing flooding along its path. This phenomenon is particularly hazardous in alpine areas, where narrow gorges and steep valleys are conducive of faster flows. Debris and mud flows may initiate on the slopes or result from the fluidization of landslide material as it gains speed or incorporates further debris and water along its path. River blockages as the flow reaches a main stream can generate temporary dams. As the impoundments fail, a domino effect may be created, with a remarkable growth in the volume of the flowing mass, and in its destructive power.

The Costa della Gaveta earthflow in Potenza, Italy. Even though it moves at a rate of just a few millimeters per year[11] and is hardly visible, this landslide causes progressive damage to the national road, the national highway, a flyover, and several houses that are built on it.
A rock slide in Guerrero, Mexico

An earthflow is the downslope movement of mostly fine-grained material. Earthflows can move at speeds within a very wide range, from as low as 1 mm/yr[11][12] to many km/h. Though these are a lot like mudflows, overall they are more slow-moving and are covered with solid material carried along by the flow from within. Clay, fine sand and silt, and fine-grained, pyroclastic material are all susceptible to earthflows. These flows are usually controlled by the pore water pressures within the mass, which should be high enough to produce a low shearing resistance. On the slopes, some earthflow may be recognized by their elongated shape, with one or more lobes at their toes. As these lobes spread out, drainage of the mass increases and the margins dry out, lowering the overall velocity of the flow. This process also causes the flow to thicken. Earthflows occur more often during periods of high precipitation, which saturates the ground and builds up water pressures. However, earthflows that keep advancing also during dry seasons are not uncommon. Fissures may develop during the movement of clayey materials, which facilitate the intrusion of water into the moving mass and produce faster responses to precipitation.[25]

A rock avalanche, sometimes referred to as sturzstrom, is a large and fast-moving landslide of the flow type. It is rarer than other types of landslides but it is often very destructive. It exhibits typically a long runout, flowing very far over a low-angle, flat, or even slightly uphill terrain. The mechanisms favoring the long runout can be different, but they typically result in the weakening of the sliding mass as the speed increases.[26][27][28] The causes of this weakening are not completely understood. Especially for the largest landslides, it may involve the very quick heating of the shear zone due to friction, which may even cause the water that is present to vaporize and build up a large pressure, producing a sort of hovercraft effect.[29] In some cases, the very high temperature may even cause some of the minerals to melt.[30] During the movement, the rock in the shear zone may also be finely ground, producing a nanometer-size mineral powder that may act as a lubricant, reducing the resistance to motion and promoting larger speeds and longer runouts.[31] The weakening mechanisms in large rock avalanches are similar to those occurring in seismic faults.[28]


Slides can occur in any rock or soil material and are characterized by the movement of a mass over a planar or curvilinear surface or shear zone.

A debris slide is a type of slide characterized by the chaotic movement of material mixed with water and/or ice. It is usually triggered by the saturation of thickly vegetated slopes which results in an incoherent mixture of broken timber, smaller vegetation and other debris.[25] Debris flows and avalanches differ from debris slides because their movement is fluid-like and generally much more rapid. This is usually a result of lower shear resistances and steeper slopes. Debris slides generally begin with the detachment of rock chunks high on the slopes, which break apart as they slide towards the bottom.

Clay and silt slides are usually slow but can experience episodic acceleration in response to heavy rainfall or rapid snowmelt. They are often seen on gentle slopes and move over planar surfaces, such as over the underlying bedrock. Failure surfaces can also form within the clay or silt layer itself, and they usually have concave shapes, resulting in rotational slides

Shallow and deep-seated landslides

Hotel Panorama at Lake Garda. Part of a hill of Devonian shale was removed to make the road, forming a dip-slope. The upper block detached along a bedding plane and is sliding down the hill, forming a jumbled pile of rock at the toe of the slide.

A landslide in which the sliding surface is located within the soil mantle or weathered bedrock (typically to a depth from few decimeters to some meters) is called a shallow landslide. Debris slides and debris flows are usually shallow. Shallow landslides can often happen in areas that have slopes with high permeable soils on top of low permeable soils. The low permeable soil traps the water in the shallower soil generating high water pressures. As the top soil is filled with water, it can become unstable and slide downslope.

Deep-seated landslide on a mountain in Sehara, Kihō, Japan caused by torrential rain of Tropical Storm Talas
Landslide of soil and regolith in Pakistan

Deep-seated landslides are those in which the sliding surface is mostly deeply located, for instance well below the maximum rooting depth of trees. They usually involve deep regolith, weathered rock, and/or bedrock and include large slope failures associated with translational, rotational, or complex movements. They tend to form along a plane of weakness such as a fault or bedding plane. They can be visually identified by concave scarps at the top and steep areas at the toe.[32] Deep-seated landslides also shape landscapes over geological timescales and produce sediment that strongly alters the course of fluvial streams.[33]

Causing tsunamis

Landslides that occur undersea, or have impact into water e.g. significant rockfall or volcanic collapse into the sea,[34] can generate tsunamis. Massive landslides can also generate megatsunamis, which are usually hundreds of meters high. In 1958, one such tsunami occurred in Lituya Bay in Alaska.[35][36]

  • An avalanche, similar in mechanism to a landslide, involves a large amount of ice, snow and rock falling quickly down the side of a mountain.
  • A pyroclastic flow is caused by a collapsing cloud of hot ash, gas and rocks from a volcanic explosion that moves rapidly down an erupting volcano.

Landslide prediction mapping

Landslide hazard analysis and mapping can provide useful information for catastrophic loss reduction, and assist in the development of guidelines for sustainable land-use planning. The analysis is used to identify the factors that are related to landslides, estimate the relative contribution of factors causing slope failures, establish a relation between the factors and landslides, and to predict the landslide hazard in the future based on such a relationship.[37] The factors that have been used for landslide hazard analysis can usually be grouped into geomorphology, geology, land use/land cover, and hydrogeology. Since many factors are considered for landslide hazard mapping, GIS is an appropriate tool because it has functions of collection, storage, manipulation, display, and analysis of large amounts of spatially referenced data which can be handled fast and effectively.[38] Cardenas reported evidence on the exhaustive use of GIS in conjunction of uncertainty modelling tools for landslide mapping.[39][40] Remote sensing techniques are also highly employed for landslide hazard assessment and analysis. Before and after aerial photographs and satellite imagery are used to gather landslide characteristics, like distribution and classification, and factors like slope, lithology, and land use/land cover to be used to help predict future events.[41] Before and after imagery also helps to reveal how the landscape changed after an event, what may have triggered the landslide, and shows the process of regeneration and recovery.[42]

Using satellite imagery in combination with GIS and on-the-ground studies, it is possible to generate maps of likely occurrences of future landslides.[43] Such maps should show the locations of previous events as well as clearly indicate the probable locations of future events. In general, to predict landslides, one must assume that their occurrence is determined by certain geologic factors, and that future landslides will occur under the same conditions as past events.[44] Therefore, it is necessary to establish a relationship between the geomorphologic conditions in which the past events took place and the expected future conditions.[45]

Natural disasters are a dramatic example of people living in conflict with the environment. Early predictions and warnings are essential for the reduction of property damage and loss of life. Because landslides occur frequently and can represent some of the most destructive forces on earth, it is imperative to have a good understanding as to what causes them and how people can either help prevent them from occurring or simply avoid them when they do occur. Sustainable land management and development is also an essential key to reducing the negative impacts felt by landslides.

A Wireline extensometer monitoring slope displacement and transmitting data remotely via radio or Wi-Fi. In situ or strategically deployed extensometers may be used to provide early warning of a potential landslide.[46]

GIS offers a superior method for landslide analysis because it allows one to capture, store, manipulate, analyze, and display large amounts of data quickly and effectively. Because so many variables are involved, it is important to be able to overlay the many layers of data to develop a full and accurate portrayal of what is taking place on the Earth's surface. Researchers need to know which variables are the most important factors that trigger landslides in any given location. Using GIS, extremely detailed maps can be generated to show past events and likely future events which have the potential to save lives, property, and money.

Since the ‘90s, GIS have been also successfully used in conjunction to decision support systems, to show on a map real-time risk evaluations based on monitoring data gathered in the area of the Val Pola disaster (Italy).[47]

Prehistoric landslides

Rhine cutting through Flims Rockslide debris, Switzerland
  • Storegga Slide, some 8,000 years ago off the western coast of Norway. Caused massive tsunamis in Doggerland and other areas connected to the North Sea. A total volume of 3,500 km3 (840 cu mi) debris was involved; comparable to a 34 m (112 ft) thick area the size of Iceland. The landslide is thought to be among the largest in history.
  • Landslide which moved Heart Mountain to its current location, the largest continental landslide discovered so far. In the 48 million years since the slide occurred, erosion has removed most of the portion of the slide.
  • Flims Rockslide, ca. 12 km3 (2.9 cu mi), Switzerland, some 10,000 years ago in post-glacial Pleistocene/Holocene, the largest so far described in the alps and on dry land that can be easily identified in a modestly eroded state.[48]
  • The landslide around 200 BC which formed Lake Waikaremoana on the North Island of New Zealand, where a large block of the Ngamoko Range slid and dammed a gorge of Waikaretaheke River, forming a natural reservoir up to 256 metres (840 ft) deep.
  • Cheekye Fan, British Columbia, Canada, ca. 25 km2 (9.7 sq mi), Late Pleistocene in age.
  • The Manang-Braga rock avalanche/debris flow may have formed Marsyangdi Valley in the Annapurna Region, Nepal, during an interstadial period belonging to the last glacial period.[49] Over 15 km3 of material are estimated to have been moved in the single event, making it one of the largest continental landslides.
  • Tsergo Ri landslide, a massive slope failure 60 km north of Kathmandu, Nepal, involving an estimated 10–15 km3.[50] Prior to this landslide the mountain may have been the world's 15th mountain above 8000m.

Historical landslides

Extraterrestrial landslides

Evidence of past landslides has been detected on many bodies in the solar system, but since most observations are made by probes that only observe for a limited time and most bodies in the solar system appear to be geologically inactive not many landslides are known to have happened in recent times. Both Venus and Mars have been subject to long-term mapping by orbiting satellites, and examples of landslides have been observed on both planets.

Landslide mitigation

See also


  1. "Landslide synonyms". Roget's 21st Century Thesaurus. 2013. Retrieved 16 March 2018.
  2. McGraw-Hill Encyclopedia of Science & Technology, 11th Edition, ISBN 9780071778343, 2012
  3. "USGS factsheet, Landslide Types and Processes, 2004".
  4. Hungr, Oldrich; Leroueil, Serge; Picarelli, Luciano (2014-04-01). "The Varnes classification of landslide types, an update". Landslides. 11 (2): 167–194. doi:10.1007/s10346-013-0436-y. ISSN 1612-5118. S2CID 38328696.
  5. Haflidason, Haflidi; Sejrup, Hans Petter; Nygård, Atle; Mienert, Jurgen; Bryn, Petter; Lien, Reidar; Forsberg, Carl Fredrik; Berg, Kjell; Masson, Doug (2004-12-15). "The Storegga Slide: architecture, geometry and slide development". Marine Geology. COSTA - Continental Slope Stability. 213 (1): 201–234. Bibcode:2004MGeol.213..201H. doi:10.1016/j.margeo.2004.10.007. ISSN 0025-3227.
  6. Subramanian, S. Siva; Fan, X.; Yunus, A. P.; Asch, T. van; Scaringi, G.; Xu, Q.; Dai, L.; Ishikawa, T.; Huang, R. (2020). "A Sequentially Coupled Catchment-Scale Numerical Model for Snowmelt-Induced Soil Slope Instabilities". Journal of Geophysical Research: Earth Surface. 125 (5): e2019JF005468. Bibcode:2020JGRF..12505468S. doi:10.1029/2019JF005468. ISSN 2169-9011. S2CID 218825257.
  7. Hu, Wei; Scaringi, Gianvito; Xu, Qiang; Van Asch, Theo W. J. (2018-04-10). "Suction and rate-dependent behaviour of a shear-zone soil from a landslide in a gently-inclined mudstone-sandstone sequence in the Sichuan basin, China". Engineering Geology. 237: 1–11. doi:10.1016/j.enggeo.2018.02.005. ISSN 0013-7952.
  8. Fan, Xuanmei; Xu, Qiang; Scaringi, Gianvito (2017-12-01). "Failure mechanism and kinematics of the deadly June 24th 2017 Xinmo landslide, Maoxian, Sichuan, China". Landslides. 14 (6): 2129–2146. doi:10.1007/s10346-017-0907-7. ISSN 1612-5118. S2CID 133681894.
  9. Rengers, Francis K.; McGuire, Luke A.; Oakley, Nina S.; Kean, Jason W.; Staley, Dennis M.; Tang, Hui (2020-11-01). "Landslides after wildfire: initiation, magnitude, and mobility". Landslides. 17 (11): 2631–2641. doi:10.1007/s10346-020-01506-3. ISSN 1612-5118. S2CID 221110680.
  10. Edil, T. B.; Vallejo, L. E. (1980-07-01). "Mechanics of coastal landslides and the influence of slope parameters". Engineering Geology. Special Issue Mechanics of Landslides and Slope Stability. 16 (1): 83–96. doi:10.1016/0013-7952(80)90009-5. ISSN 0013-7952.
  11. Di Maio, Caterina; Vassallo, Roberto; Scaringi, Gianvito; De Rosa, Jacopo; Pontolillo, Dario Michele; Maria Grimaldi, Giuseppe (2017-11-01). "Monitoring and analysis of an earthflow in tectonized clay shales and study of a remedial intervention by KCl wells". Rivista Italiana di Geotecnica. 51 (3): 48–63. doi:10.19199/2017.3.0557-1405.048.
  12. Di Maio, Caterina; Scaringi, Gianvito; Vassallo, R (2014-01-01). "Residual strength and creep behaviour on the slip surface of specimens of a landslide in marine origin clay shales: influence of pore fluid composition". Landslides. 12 (4): 657–667. doi:10.1007/s10346-014-0511-z. S2CID 127489377.
  13. Fan, Xuanmei; Xu, Qiang; Scaringi, Gianvito; Li, Shu; Peng, Dalei (2017-10-13). "A chemo-mechanical insight into the failure mechanism of frequently occurred landslides in the Loess Plateau, Gansu Province, China". Engineering Geology. 228: 337–345. doi:10.1016/j.enggeo.2017.09.003. ISSN 0013-7952.
  14. Fan, Xuanmei; Scaringi, Gianvito; Domènech, Guillem; Yang, Fan; Guo, Xiaojun; Dai, Lanxin; He, Chaoyang; Xu, Qiang; Huang, Runqiu (2019-01-09). "Two multi-temporal datasets that track the enhanced landsliding after the 2008 Wenchuan earthquake". Earth System Science Data. 11 (1): 35–55. Bibcode:2019ESSD...11...35F. doi:10.5194/essd-11-35-2019. ISSN 1866-3508.
  15. Fan, Xuanmei; Xu, Qiang; Scaringi, Gianvito (2018-01-26). "Brief communication: Post-seismic landslides, the tough lesson of a catastrophe". Natural Hazards and Earth System Sciences. 18 (1): 397–403. Bibcode:2018NHESS..18..397F. doi:10.5194/nhess-18-397-2018. ISSN 1561-8633.
  16. WATT, SEBASTIAN F.L.; TALLING, PETER J.; HUNT, JAMES E. (2014). "New Insights into the Emplacement Dynamics of Volcanic Island Landslides". Oceanography. 27 (2): 46–57. doi:10.5670/oceanog.2014.39. ISSN 1042-8275. JSTOR 24862154. S2CID 55516702.
  17. Laimer, Hans Jörg (2017-05-18). "Anthropogenically induced landslides – A challenge for railway infrastructure in mountainous regions". Engineering Geology. 222: 92–101. doi:10.1016/j.enggeo.2017.03.015. ISSN 0013-7952.
  18. Fan, Xuanmei; Xu, Qiang; Scaringi, Gianvito (2018-10-24). "The "long" runout rock avalanche in Pusa, China, on August 28, 2017: a preliminary report". Landslides. 16: 139–154. doi:10.1007/s10346-018-1084-z. ISSN 1612-5118. S2CID 133852769.
  19. Giacomo Pepe; Andrea Mandarino; Emanuele Raso; Patrizio Scarpellini; Pierluigi Brandolini; Andrea Cevasco (2019). "Investigation on Farmland Abandonment of Terraced Slopes Using Multitemporal Data Sources Comparison and Its Implication on Hydro-Geomorphological Processes". Water. MDPI. 8 (11): 1552. doi:10.3390/w11081552. ISSN 2073-4441. OCLC 8206777258., at the introductory section.
  20. Varnes D. J., Slope movement types and processes. In: Schuster R. L. & Krizek R. J. Ed., Landslides, analysis and control. Transportation Research Board Sp. Rep. No. 176, Nat. Acad. oi Sciences, pp. 11–33, 1978.
  21. Cruden, David M., and David J. Varnes. "Landslides: investigation and mitigation. Chapter 3-Landslide types and processes." Transportation research board special report 247 (1996).
  22. Hutchinson, J. N. "General report: morphological and geotechnical parameters of landslides in relation to geology and hydrogeology." International symposium on landslides. 5. 1988.
  23. Hungr O, Evans SG, Bovis M, and Hutchinson JN (2001) Review of the classification of landslides of the flow type. Environmental and Engineering Geoscience VII, 221-238.
  24. Iverson, Richard M. (1997). "The physics of debris flows". Reviews of Geophysics. 35 (3): 245–296. Bibcode:1997RvGeo..35..245I. doi:10.1029/97RG00426. ISSN 1944-9208. S2CID 15955986.
  25. Easterbrook, Don J. (1999). Surface Processes and Landforms. Upper Saddle River: Prentice-Hall. ISBN 978-0-13-860958-0.
  26. Hu, Wei; Scaringi, Gianvito; Xu, Qiang; Huang, Runqiu (2018-06-05). "Internal erosion controls failure and runout of loose granular deposits: Evidence from flume tests and implications for post-seismic slope healing". Geophysical Research Letters. 45 (11): 5518. Bibcode:2018GeoRL..45.5518H. doi:10.1029/2018GL078030. S2CID 135013342.
  27. Hu, Wei; Xu, Qiang; Wang, Gonghui; Scaringi, Gianvito; McSaveney, Mauri; Hicher, Pierre-Yves (2017-10-31). "Shear Resistance Variations in Experimentally Sheared Mudstone Granules: A Possible Shear-Thinning and Thixotropic Mechanism". Geophysical Research Letters. 44 (21): 11, 040. Bibcode:2017GeoRL..4411040H. doi:10.1002/2017GL075261. S2CID 135078422.
  28. Scaringi, Gianvito; Hu, Wei; Xu, Qiang; Huang, Runqiu (2017-12-20). "Shear-Rate-Dependent Behavior of Clayey Bimaterial Interfaces at Landslide Stress Levels". Geophysical Research Letters. 45 (2): 766. Bibcode:2018GeoRL..45..766S. doi:10.1002/2017GL076214.
  29. Deng, Yu; Yan, Shuaixing; Scaringi, Gianvito; Liu, Wei; He, Siming (2020). "An Empirical Power Density-Based Friction Law and Its Implications for Coherent Landslide Mobility". Geophysical Research Letters. 47 (11): e2020GL087581. Bibcode:2020GeoRL..4787581D. doi:10.1029/2020GL087581. ISSN 1944-8007. S2CID 219437216.
  30. Deng, Yu; He, Siming; Scaringi, Gianvito; Lei, Xiaoqin (2020). "Mineralogical Analysis of Selective Melting in Partially Coherent Rockslides: Bridging Solid and Molten Friction". Journal of Geophysical Research: Solid Earth. 125 (8): e2020JB019453. Bibcode:2020JGRB..12519453D. doi:10.1029/2020JB019453. ISSN 2169-9356. S2CID 225509252.
  31. Rowe, Christie D.; Lamothe, Kelsey; Rempe, Marieke; Andrews, Mark; Mitchell, Thomas M.; Di Toro, Giulio; White, Joseph Clancy; Aretusini, Stefano (2019-01-18). "Earthquake lubrication and healing explained by amorphous nanosilica". Nature Communications. 10 (1): 320. Bibcode:2019NatCo..10..320R. doi:10.1038/s41467-018-08238-y. ISSN 2041-1723. PMC 6338773. PMID 30659201.
  32. Johnson, B.F. (June 2010). "Slippery slopes". Earth magazine. pp. 48–55.
  33. Campforts, B (2022). "The Art of Landslides: How Stochastic Mass Wasting Shapes Topography and Influences Landscape Dynamics". Journal of Geophysical Research: Earth Surface. 127 (8): 1–23. Bibcode:2022JGRF..12706745C. doi:10.1029/2022JF006745.
  34. "Ancient Volcano Collapse Caused A Tsunami With An 800-Foot Wave". Popular Science. Retrieved 2017-10-20.
  35. Le Bas, T.P. (2007), "Slope Failures on the Flanks of Southern Cape Verde Islands", in Lykousis, Vasilios (ed.), Submarine mass movements and their consequences: 3rd international symposium, Springer, ISBN 978-1-4020-6511-8
  36. Mitchell, N (2003). "Susceptibility of mid-ocean ridge volcanic islands and seamounts to large scale landsliding". Journal of Geophysical Research. 108 (B8): 1–23. Bibcode:2003JGRB..108.2397M. doi:10.1029/2002jb001997.
  37. Chen, Zhaohua; Wang, Jinfei (2007). "Landslide hazard mapping using logistic regression model in Mackenzie Valley, Canada". Natural Hazards. 42: 75–89. doi:10.1007/s11069-006-9061-6. S2CID 128608263.
  38. Clerici, A; Perego, S; Tellini, C; Vescovi, P (2002). "A procedure for landslide susceptibility zonation by the conditional analysis method1". Geomorphology. 48 (4): 349–364. Bibcode:2002Geomo..48..349C. doi:10.1016/S0169-555X(02)00079-X.
  39. Cardenas, IC (2008). "Landslide susceptibility assessment using Fuzzy Sets, Possibility Theory and Theory of Evidence. Estimación de la susceptibilidad ante deslizamientos: aplicación de conjuntos difusos y las teorías de la posibilidad y de la evidencia". Ingenieria e Investigación. 28 (1).
  40. Cardenas, IC (2008). "Non-parametric modeling of rainfall in Manizales City (Colombia) using multinomial probability and imprecise probabilities. Modelación no paramétrica de lluvias para la ciudad de Manizales, Colombia: una aplicación de modelos multinomiales de probabilidad y de probabilidades imprecisas". Ingenieria e Investigación. 28 (2).
  41. Metternicht, G; Hurni, L; Gogu, R (2005). "Remote sensing of landslides: An analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments". Remote Sensing of Environment. 98 (2–3): 284–303. Bibcode:2005RSEnv..98..284M. doi:10.1016/j.rse.2005.08.004.
  42. De La Ville, Noemi; Chumaceiro Diaz, Alejandro; Ramirez, Denisse (2002). "Remote Sensing and GIS Technologies as Tools to Support Sustainable Management of Areas Devastated by Landslides" (PDF). Environment, Development and Sustainability. 4 (2): 221–229. doi:10.1023/A:1020835932757. S2CID 152358230. Archived (PDF) from the original on 2022-10-09.
  43. Fabbri, Andrea G.; Chung, Chang-Jo F.; Cendrero, Antonio; Remondo, Juan (2003). "Is Prediction of Future Landslides Possible with a GIS?". Natural Hazards. 30 (3): 487–503. doi:10.1023/B:NHAZ.0000007282.62071.75. S2CID 129661820.
  44. Lee, S; Talib, Jasmi Abdul (2005). "Probabilistic landslide susceptibility and factor effect analysis". Environmental Geology. 47 (7): 982–990. doi:10.1007/s00254-005-1228-z. S2CID 128534998.
  45. Ohlmacher, G (2003). "Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA". Engineering Geology. 69 (3–4): 331–343. doi:10.1016/S0013-7952(03)00069-3.
  46. Rose & Hunger, "Forecasting potential slope failure in open pit mines" Archived 2017-07-13 at the Wayback Machine, Journal of Rock Mechanics & Mining Sciences, February 17, 2006. August 20, 2015.
  47. Lazzari, M.; Salvaneschi, P. (1999). "Embedding a Geographic Information System in a Decision Support System for Landslide Hazard Monitoring" (PDF). Natural Hazards. 20 (2–3): 185–195. doi:10.1023/A:1008187024768. S2CID 1746570. Archived (PDF) from the original on 2022-10-09.
  48. Weitere Erkenntnisse und weitere Fragen zum Flimser Bergsturz Archived 2011-07-06 at the Wayback Machine A.v. Poschinger, Angewandte Geologie, Vol. 11/2, 2006
  49. Fort, Monique (2011). "Two large late quaternary rock slope failures and their geomorphic significance, Annapurna, Himalayas (Nepal)". Geografia Fisica e Dinamica Quaternaria. 34: 5–16.
  50. Weidinger, Johannes T.; Schramm, Josef-Michael; Nuschej, Friedrich (2002-12-30). "Ore mineralization causing slope failure in a high-altitude mountain crest—on the collapse of an 8000 m peak in Nepal". Journal of Asian Earth Sciences. 21 (3): 295–306. Bibcode:2002JAESc..21..295W. doi:10.1016/S1367-9120(02)00080-9.
  51. "Hope Slide". BC Geographical Names.
  52. Peres, D. J.; Cancelliere, A. (2016-10-01). "Estimating return period of landslide triggering by Monte Carlo simulation". Journal of Hydrology. Flash floods, hydro-geomorphic response and risk management. 541: 256–271. Bibcode:2016JHyd..541..256P. doi:10.1016/j.jhydrol.2016.03.036.
  53. "Large landslide in Gansu Zhouqu August 7". August 19, 2010. Archived from the original on August 24, 2010.
  54. "Brazil mudslide death toll passes 450". Canadian Broadcasting Corporation. January 13, 2011. Retrieved January 13, 2011.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.