Modelling Explosive Nonstationarity of Ground Motion Shows Potential for Landslide Early Warning
Author:
Affiliation:
1. Department of Mathematics and Statistics, The University of Melbourne, Melbourne 3010, Australia
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/68/1/35/pdf
Reference13 articles.
1. A review of landslide acceptable risk and tolerable risk;Sim;Geoenviron. Disasters,2022
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3. Spatiotemporal slope stability analytics for failure estimation (SSSAFE): Linking radar data to the fundamental dynamics of granular failure;Tordesillas;Sci. Rep.,2021
4. Augmented Intelligence Forecasting and What-If-Scenario Analytics with Quantified Uncertainty for Big Real-Time Slope Monitoring Data;Tordesillas;IEEE Trans. Geosci. Remote. Sens.,2024
5. Pfaff, B. (2008). Analysis of Integrated and Cointegrated Time Series with R, Springer.
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