Prediction of landslide block movement based on Kalman filtering data assimilation method
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/s11629-023-7902-3.pdf
Reference22 articles.
1. Froude MJ, Petley DN (2018) Global fatal landslide occurrence from 2004 to 2006. Nat Hazards Earth Syst Sci 18(8): 2161–2181. https://doi.org/10.5194/nhess-18-2161-2018
2. Bas E, Egrioglu E, Kolemen E (2022) Training simple recurrent deep artificial neural network for forecasting using particle swarm optimization. Granular Computing 7(2): 411–420. https://doi.org/10.1007/S41066-021-00274-2
3. Müller SL (1987) The vajont slide. Eng Geol 24(1): 513–523. https://doi.org/10.1016/0013-7952(87)90084-6
4. Bulmer MH, Petley DN, Murphy W, et al. (2006) Detecting slope deformation using two-pass differential interferometry: Implications for landslide studies on earth and other planetary bodies. J Geophys Res Planets 111(6): 3197–3215. https://doi.org/10.1029/2005JE002593
5. Kontogianni V, Pytharouli S, Stiros S (2006) Ground subsidence, Quaternary faults and vulnerability of utilities and transportation networks in Thessaly, Greece. Eng Geol 52(6): 1085–1095. https://doi.org/10.1007/s00254-006-0548-y
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