Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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
Dealing with deep uncertainties in landslide modelling for disaster risk reduction under climate change
Susana Almeida et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC1: 'Nice application of CART as a tool for navigating deep uncertainty', Anonymous Referee #1, 12 Dec 2016 Printer-friendly Version 
AC1: 'Response to Reviewer 1', Susana Almeida, 31 Jan 2017 Printer-friendly Version Supplement 
 
RC2: 'review Almeida et al.', Tom Dijkstra, 13 Dec 2016 Printer-friendly Version Supplement 
AC2: 'Response to Tom Dijkstra', Susana Almeida, 31 Jan 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish as is (31 Jan 2017) by Ian Main  
CC BY 4.0
Publications Copernicus
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Short summary
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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