Landslide Explained

Landslides, also known as landslips, or rockslides,[1] [2] [3] are several forms of mass wasting that may include a wide range of ground movements, such as rockfalls, mudflows, shallow or deep-seated slope failures 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.

Landslides are frequently made worse by human development (such as urban sprawl) and resource exploitation (such as mining and deforestation). Land degradation frequently leads to less stabilization of soil by vegetation. Additionally, global warming caused by climate change and other human impact on the environment, can increase the frequency of natural events (such as extreme weather) which trigger landslides.[6] Landslide mitigation describes the policy and practices for reducing the risk of human impacts of landslides, reducing the risk of natural disaster.

Causes

See main article: Causes of landslides.

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:

Landslides are aggravated by human activities, such as:

Types

See main article: Landslide classification.

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.[22] This scheme was later modified by Cruden and Varnes in 1996,[23] and refined by Hutchinson (1988),[24] Hungr et al. (2001),[25] and finally by Hungr, Leroueil and Picarelli (2014). The classification resulting from the latest update is provided below.

!Type of movement!Rock!Soil
FallRock/ice fallBoulder/debris/silt fall
ToppleRock block toppleGravel/sand/silt topple
Rock flexural topple
SlideRock rotational slideClay/silt rotational slide
Rock planar slideClay/silt planar slide
Rock wedge slideGravel/sand/debris slide
Rock compound slideClay/silt compound slide
Rock irregular slide
SpreadRock slope spreadSand/silt liquefaction spread
Sensitive clay spread
FlowRock/ice avalancheSand/silt/debris dry flow
Sand/silt/debris flowslide
Sensitive clay flowslide
Debris flow
Mud flow
Debris flood
Debris avalanche
Earthflow
Peat flow
Slope deformationMountain slope deformationSoil slope deformation
Rock slope deformationSoil creep
Solifluction
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.

Flows

Slope material that becomes saturated with water may produce a debris flow or mud flow. However, also dry debris can exhibit flow-like movement.[26] 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.

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[27] 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.[28]

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.[29] [30] [31] 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.[32] In some cases, the very high temperature may even cause some of the minerals to melt.[33] 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.[34] The weakening mechanisms in large rock avalanches are similar to those occurring in seismic faults.

Slides

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. 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. Typically, debris slides start with the detachment of large rock fragments high on the slopes, which break apart as they descend.

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

Slope failure mechanisms often contain large uncertainties and could be significantly affected by heterogeneity of soil properties.[35] 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 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.[36] 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.[37] Deep-seated landslides also shape landscapes over geological timescales and produce sediment that strongly alters the course of fluvial streams.[38]

Related phenomena

Resulting tsunamis

Landslides that occur undersea, or have impact into water e.g. significant rockfall or volcanic collapse into the sea,[39] 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.[40]

Landslide prediction mapping

See also: Slope stability analysis. 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.[41] 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.[42] Cardenas reported evidence on the exhaustive use of GIS in conjunction of uncertainty modelling tools for landslide mapping.[43] [44] 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.[45] 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.[46]

Using satellite imagery in combination with GIS and on-the-ground studies, it is possible to generate maps of likely occurrences of future landslides.[47] 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.[48] Therefore, it is necessary to establish a relationship between the geomorphologic conditions in which the past events took place and the expected future conditions.[49]

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.

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).[50]

Prehistoric landslides

Historical landslides

See main article: List of 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.

Climate-change impact on landslides

Climate-change impact on temperature, both average rainfall and rainfall extremes, and evapotranspiration may affect landslide distribution, frequency and intensity (62). However, this impact shows strong variability in different areas (63). Therefore, the effects of climate change on landslides need to be studied on a regional scale. Climate change can have both positive and negative impacts on landslidesTemperature rise may increase evapotranspiration, leading to a reduction in soil moisture and stimulate vegetation growth, also due to a CO2 increase in the atmosphere. Both effects may reduce landslides in some conditions.On the other side, temperature rise causes an increase of landslides due to

Since the average precipitation is expected to decrease or increase regionally (63), rainfall induced landslides may change accordingly, due to changes in infiltration, groundwater levels and river bank erosion.Weather extremes are expected to increase due to climate change including heavy precipitation (63). This yields negative effects on landslides due to focused infiltration in soil and rock (66) and an increase of runoff events, which may trigger debris flows.

See also

References

[58] [59] [60] [61] [62]

External links

Notes and References

  1. Web site: Landslide synonyms. 2013. Roget's 21st Century Thesaurus. thesaurus.com. 16 March 2018. 24 September 2020. https://web.archive.org/web/20200924234434/https://www.thesaurus.com/browse/landslide. live.
  2. McGraw-Hill Encyclopedia of Science & Technology, 11th Edition,, 2012
  3. Web site: USGS factsheet, Landslide Types and Processes, 2004.. 2020-08-28. 2020-10-04. https://web.archive.org/web/20201004122221/https://pubs.usgs.gov/fs/2004/3072/fs-2004-3072.html. live.
  4. Hungr. Oldrich. Leroueil. Serge. Picarelli. Luciano. 2014-04-01. The Varnes classification of landslide types, an update. Landslides. en. 11. 2. 167–194. 10.1007/s10346-013-0436-y. 2014Lands..11..167H . 38328696. 1612-5118.
  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. en. 213. 1. 201–234. 10.1016/j.margeo.2004.10.007. 2004MGeol.213..201H. 0025-3227.
  6. Web site: Merzdorf . Jessica . Climate Change Could Trigger More Landslides in High Mountain Asia . 2023-02-04 . Climate Change: Vital Signs of the Planet . NASA's Goddard Space Flight Center . 2023-02-04 . https://web.archive.org/web/20230204130959/https://climate.nasa.gov/news/2951/climate-change-could-trigger-more-landslides-in-high-mountain-asia/ . live .
  7. 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. en. 125. 5. e2019JF005468. 10.1029/2019JF005468. 2020JGRF..12505468S. 218825257. 2169-9011. 2021-02-23. 2022-03-06. https://web.archive.org/web/20220306044629/https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019JF005468. live.
  8. 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. en. 237. 1–11. 10.1016/j.enggeo.2018.02.005. 2018EngGe.237....1H . 0013-7952.
  9. 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. en. 14. 6. 2129–2146. 10.1007/s10346-017-0907-7. 2017Lands..14.2129F . 133681894. 1612-5118.
  10. 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. en. 17. 11. 2631–2641. 10.1007/s10346-020-01506-3. 221110680. 1612-5118. free. 2020Lands..17.2631R .
  11. 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. en. 16. 1. 83–96. 10.1016/0013-7952(80)90009-5. 1980EngGe..16...83E . 0013-7952.
  12. 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. en. 228. 337–345. 10.1016/j.enggeo.2017.09.003. 2017EngGe.228..337F . 0013-7952.
  13. 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 . free . Earth System Science Data. en. 11. 1. 35–55. 10.5194/essd-11-35-2019. 1866-3508. 2019ESSD...11...35F. free. 2019-01-09. 2020-03-04. https://web.archive.org/web/20200304105948/https://www.earth-syst-sci-data.net/11/35/2019/essd-11-35-2019.html. live.
  14. Fan. Xuanmei. Xu. Qiang. Scaringi. Gianvito. 2018-01-26. Brief communication: Post-seismic landslides, the tough lesson of a catastrophe . free . Natural Hazards and Earth System Sciences. en. 18. 1. 397–403. 10.5194/nhess-18-397-2018. 1561-8633. 2018NHESS..18..397F. free.
  15. Watt . Sebastian F.L.. Talling . Peter J.. Hunt . James E. . free . 2014. New Insights into the Emplacement Dynamics of Volcanic Island Landslides. Oceanography. 27. 2. 46–57. 10.5670/oceanog.2014.39. 24862154. 55516702. 1042-8275. free.
  16. Di Maio . C. . Scaringi . G. . 2016-01-18 . Shear displacements induced by decrease in pore solution concentration on a pre-existing slip surface . Engineering Geology . en . 200 . 1–9 . 10.1016/j.enggeo.2015.11.007 . 2016EngGe.200....1D . 0013-7952.
  17. Scaringi . Gianvito . Loche . Marco . 2022-03-15 . A thermo-hydro-mechanical approach to soil slope stability under climate change . Geomorphology . en . 401 . 108108 . 10.1016/j.geomorph.2022.108108 . 2022Geomo.40108108S . 245941223 . 0169-555X. free .
  18. Shibasaki . Tatsuya . Matsuura . Sumio . Okamoto . Takashi . 2016-07-16 . Experimental evidence for shallow, slow-moving landslides activated by a decrease in ground temperature: Landslides Affected by Ground Temperature . Geophysical Research Letters . en . 43 . 13 . 6975–6984 . 10.1002/2016GL069604. 132940118 .
  19. Laimer. Hans Jörg. 2017-05-18. Anthropogenically induced landslides – A challenge for railway infrastructure in mountainous regions. Engineering Geology. en. 222. 92–101. 10.1016/j.enggeo.2017.03.015. 2017EngGe.222...92L . 0013-7952.
  20. Fan. Xuanmei. Xu. Qiang. Scaringi. Gianvito. 2018-10-24. The "long" runout rock avalanche in Pusa, China, on 28 August 2017: a preliminary report. Landslides. en. 16. 139–154. 10.1007/s10346-018-1084-z. 133852769. 1612-5118.
  21. Investigation on Farmland Abandonment of Terraced Slopes Using Multitemporal Data Sources Comparison and Its Implication on Hydro-Geomorphological Processes . Giacomo Pepe . Andrea Mandarino . Emanuele Raso . Patrizio Scarpellini . Pierluigi Brandolini . Andrea Cevasco . . 2019 . 8206777258 . 11 . 8 . 1552 . 10.3390/w11081552 . . 2073-4441 . free . 11567/968956 . free ., at the introductory section.
  22. 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.
  23. Cruden, David M., and David J. Varnes. "Landslides: investigation and mitigation. Chapter 3-Landslide types and processes." Transportation research board special report 247 (1996).
  24. Hutchinson, J. N. "General report: morphological and geotechnical parameters of landslides in relation to geology and hydrogeology." International symposium on landslides. 5. 1988.
  25. 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.
  26. Iverson. Richard M.. 1997. The physics of debris flows. Reviews of Geophysics. en. 35. 3. 245–296. 10.1029/97RG00426. 1997RvGeo..35..245I. 15955986. 1944-9208. free.
  27. 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. 10.1007/s10346-014-0511-z. 127489377. 2018-05-26. 2021-03-30. https://web.archive.org/web/20210330131020/https://www.researchgate.net/publication/271630325_Residual_strength_and_creep_behaviour_on_the_slip_surface_of_specimens_of_a_landslide_in_marine_origin_clay_shales_influence_of_pore_fluid_composition. live.
  28. Book: Easterbrook, Don J.. Surface Processes and Landforms. Upper Saddle River. Prentice-Hall. 1999. 978-0-13-860958-0.
  29. 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. 2018GeoRL..45.5518H. 10.1029/2018GL078030. 135013342. free.
  30. 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. 2017GeoRL..4411040H. 10.1002/2017GL075261. 135078422. free.
  31. 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. 2018GeoRL..45..766S. 10.1002/2017GL076214. free.
  32. 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. en. 47. 11. e2020GL087581. 10.1029/2020GL087581. 2020GeoRL..4787581D. 219437216. 1944-8007. 2021-02-23. 2022-03-06. https://web.archive.org/web/20220306051102/https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2020GL087581. live.
  33. 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. en. 125. 8. e2020JB019453. 10.1029/2020JB019453. 2020JGRB..12519453D. 225509252. 2169-9356. 2021-02-23. 2021-10-12. https://web.archive.org/web/20211012104536/https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2020JB019453. live.
  34. 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. en. 10. 1. 320. 10.1038/s41467-018-08238-y. 2041-1723. 6338773. 30659201. 2019NatCo..10..320R.
  35. Liu . Xin . Wang . Yu . Li . Dian-Qing . 2019 . Investigation of slope failure mode evolution during large deformation in spatially variable soils by random limit equilibrium and material point methods . Computers and Geotechnics . en . 111 . 301–312 . 10.1016/j.compgeo.2019.03.022 . 2019CGeot.111..301L . 145994705 . 2023-04-10 . 2022-08-08 . https://web.archive.org/web/20220808214316/https://linkinghub.elsevier.com/retrieve/pii/S0266352X19300977 . live .
  36. Liu . Xin . Wang . Yu . Li . Dian-Qing . 2020 . Numerical simulation of the 1995 rainfall-induced Fei Tsui Road landslide in Hong Kong: new insights from hydro-mechanically coupled material point method . Landslides . en . 17 . 12 . 2755–2775 . 10.1007/s10346-020-01442-2 . 2020Lands..17.2755L . 219948261 . 1612-510X.
  37. Web site: Johnson . B.F. . June 2010 . Slippery slopes . Earth magazine . 48–55 . 2013-08-28 . 2014-02-22 . https://web.archive.org/web/20140222052004/http://www.earthmagazine.org/article/slippery-slopes-how-do-we-insure-against-landslides . live .
  38. 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 . 10.1029/2022JF006745 . 2022JGRF..12706745C . free .
  39. News: Ancient Volcano Collapse Caused A Tsunami With An 800-Foot Wave . en . Popular Science . 2017-10-20 . 2017-08-29 . https://web.archive.org/web/20170829174646/http://www.popsci.com/ancient-volcano-collapse-caused-megatsunami-with-an-800-foot-wave . live .
  40. Mitchell . N . 2003 . Susceptibility of mid-ocean ridge volcanic islands and seamounts to large scale landsliding . Journal of Geophysical Research . 108 . B8 . 1–23 . 2003JGRB..108.2397M . 10.1029/2002jb001997 . free.
  41. Chen. Zhaohua. Wang. Jinfei. Landslide hazard mapping using logistic regression model in Mackenzie Valley, Canada. Natural Hazards. 42. 75–89. 2007. 1 . 10.1007/s11069-006-9061-6. 2007NatHa..42...75C . 128608263.
  42. Clerici. A. Perego. S. Tellini. C. Vescovi. P. A procedure for landslide susceptibility zonation by the conditional analysis method1 . Geomorphology . 48 . 349–364 . 2002 . 10.1016/S0169-555X(02)00079-X . 4. 2002Geomo..48..349C .
  43. Cardenas . IC. 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 . 2008 . 28 . 1 .
  44. Cardenas. IC. 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 . 2008. 28. 2.
  45. Metternicht. G. Graciela Metternicht. 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. 2005RSEnv..98..284M. 10.1016/j.rse.2005.08.004.
  46. De La Ville. Noemi. Chumaceiro Diaz. Alejandro. Ramirez. Denisse. Remote Sensing and GIS Technologies as Tools to Support Sustainable Management of Areas Devastated by Landslides. https://ghostarchive.org/archive/20221009/http://www.vliz.be/imisdocs/publications/35254.pdf . 2022-10-09 . live. Environment, Development and Sustainability. 4. 221–229. 2002. 10.1023/A:1020835932757. 2. 152358230.
  47. Fabbri. Andrea G.. Chung. Chang-Jo F.. Cendrero. Antonio. Remondo. Juan. Is Prediction of Future Landslides Possible with a GIS?. Natural Hazards. 30. 487–503. 2003. 10.1023/B:NHAZ.0000007282.62071.75. 3. 2003NatHa..30..487F . 129661820.
  48. Lee. S. Talib. Jasmi Abdul. Probabilistic landslide susceptibility and factor effect analysis. Environmental Geology. 47. 982–990. 2005. 10.1007/s00254-005-1228-z. 7. 128534998.
  49. Ohlmacher. G. Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA. Engineering Geology. 69. 331–343. 2003. 10.1016/S0013-7952(03)00069-3. 3–4. 2003EngGe..69..331O.
  50. Lazzari. M.. Salvaneschi. P.. 1999. Embedding a Geographic Information System in a Decision Support System for Landslide Hazard Monitoring. https://ghostarchive.org/archive/20221009/https://dinamico2.unibg.it/lazzari/doc/embedding-authors-copy.pdf . 2022-10-09 . live. Natural Hazards. 20. 2–3. 185–195. 10.1023/A:1008187024768. 1746570.
  51. http://www.angewandte-geologie.ch/Archiv/Volumes/vol112.htm Weitere Erkenntnisse und weitere Fragen zum Flimser Bergsturz
  52. Two large late quaternary rock slope failures and their geomorphic significance, Annapurna, Himalayas (Nepal). Geografia Fisica e Dinamica Quaternaria. 34 . 2011. 5–16. Fort, Monique.
  53. 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. 10.1016/S1367-9120(02)00080-9. 2002JAESc..21..295W.
  54. 53154 . Hope Slide.
  55. 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. 10.1016/j.jhydrol.2016.03.036. 2016JHyd..541..256P.
  56. Web site: Large landslide in Gansu Zhouqu August 7 . Easyseosolution.com . 19 August 2010 . dead . https://web.archive.org/web/20100824060054/http://www.easyseosolution.com/blog/archives/932 . 24 August 2010 .
  57. News: Brazil mudslide death toll passes 450 . Canadian Broadcasting Corporation . 13 January 2011 . 13 January 2011 . 1 March 2011 . https://web.archive.org/web/20110301033218/http://www.cbc.ca/news/world/story/2011/01/13/brazil-flood-deaths.html . live .
  58. 62. Gariano, S.L.; Guzzetti F. (2016). "Landslides in a Changing Climate". Earth-Science Reviews, 162, 227–252.
  59. 63. Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge and New York, pp. 1767–1926. .
  60. 64. Cardinali, M., Ardizzone, F., Galli, M., Guzzetti, F., & Reichenbach, P. (2000, January). "Landslides triggered by rapid snow melting: the December 1996–January 1997 event in Central Italy". In Proceedings 1st Plinius Conference on Mediterranean Storms (pp. 439–448).
  61. 65.Krautblatter, M., Funk, D., & Günzel, F. K. (2013). "Why permafrost rocks become unstable: a rock–ice‐mechanical model in time and space". Earth Surface Processes and Landforms, 38(8), 876–887.
  62. 66. Ciabatta, L., Camici, S., Brocca, L., Ponziani, F., Stelluti, M., Berni, N., & Moramarco, T.J.J.O.H. (2016). "Assessing the impact of climate-change scenarios on landslide occurrence in Umbria Region, Italy". Journal of Hydrology, 541, 285–295.