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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 17, issue 2
Nat. Hazards Earth Syst. Sci., 17, 225–241, 2017
https://doi.org/10.5194/nhess-17-225-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Risk and uncertainty estimation in natural hazards

Nat. Hazards Earth Syst. Sci., 17, 225–241, 2017
https://doi.org/10.5194/nhess-17-225-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 21 Feb 2017

Research article | 21 Feb 2017

Dealing with deep uncertainties in landslide modelling for disaster risk reduction under climate change

Susana Almeida et al.

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Cited articles

Anderson, M. G.: A feasibility study in mathematical modelling of slope hydrology and stability, Report to Geotechnical Control Office Civil Engineering Services Department, Hong Kong, 1990.
Anderson, M. G. and Holcombe, L.: Sustainable landslide risk reduction in poorer countries, P. I. Civil Eng.-Eng. Su., 159, 23–30, https://doi.org/10.1680/ensu.2006.159.1.23, 2006.
Anderson, M. G. and Lloyd, D. M.: Using a Combined Slope Hydrology Stability Model to Develop Cut Slope Design Charts, P. I. Civil Eng. Pt. 2, 91, 705–718, https://doi.org/10.1680/iicep.1991.17486, 1991.
Anderson, M. G., Kemp, M. J., and Lloyd, D. M.: Hydrological design manual for slope stability in the tropics, Transport Research Laboratory, Crowthorne, UK, 58 pp., 1997.
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Landslides threaten communities globally, yet predicting their occurrence is challenged by uncertainty about slope properties and climate change. We present an approach to identify the dominant drivers of slope instability and the critical thresholds at which slope failure may occur. This information helps decision makers to target data acquisition to improve landslide predictability, and supports policy development to reduce landslide occurrence and impacts in highly uncertain environments.
Landslides threaten communities globally, yet predicting their occurrence is challenged by...
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