A framework for identifying the onset of landslide acceleration based on the exponential moving average (EMA)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nature and Landscape Conservation,Earth-Surface Processes,Geology,Geography, Planning and Development,Global and Planetary Change
Link
https://link.springer.com/content/pdf/10.1007/s11629-023-7905-0.pdf
Reference36 articles.
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2. Bozzano F, Cipriani I, Mazzanti P (2014) A field experiment for calibrating landslide time-of-failure prediction functions. Int J Rock Mech Min 67: 69–77. https://doi.org/10.1016/j.ijrmms.2013.12.006
3. Carla T, Farina P, Intrieri E, et al. (2017a) On the monitoring and early-warning of brittle slope failures in hard rock masses: Examples from an open-pit mine. Eng Geol 228: 71–81. https://doi.org/10.1016/j.enggeo.2017.08.007
4. Carla T, Intrieri E, Di Traglia F, et al. (2017b) Guidelines on the use of inverse velocity method as a tool for setting alarm thresholds and forecasting landslides and structure collapses. Landslides 14: 517–534. https://doi.org/10.1007/s10346-016-0731-5
5. Carlà T, Nolesini T, Solari L, et al. (2019) Rockfall forecasting and risk management along a major transportation corridor in the alps through ground-based radar interferometry. Landslides 16: 1425–1435. https://doi.org/10.1007/s10346-019-01190-y
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