CLC number: P642
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2020-05-23
Cited: 0
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Zhong-qiang Liu, Dong Guo, Suzanne Lacasse, Jin-hui Li, Bei-bei Yang, Jung-chan Choi. Algorithms for intelligent prediction of landslide displacements[J]. Journal of Zhejiang University Science A, 2020, 21(6): 412-429.
@article{title="Algorithms for intelligent prediction of landslide displacements",
author="Zhong-qiang Liu, Dong Guo, Suzanne Lacasse, Jin-hui Li, Bei-bei Yang, Jung-chan Choi",
journal="Journal of Zhejiang University Science A",
volume="21",
number="6",
pages="412-429",
year="2020",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2000005"
}
%0 Journal Article
%T Algorithms for intelligent prediction of landslide displacements
%A Zhong-qiang Liu
%A Dong Guo
%A Suzanne Lacasse
%A Jin-hui Li
%A Bei-bei Yang
%A Jung-chan Choi
%J Journal of Zhejiang University SCIENCE A
%V 21
%N 6
%P 412-429
%@ 1673-565X
%D 2020
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2000005
TY - JOUR
T1 - Algorithms for intelligent prediction of landslide displacements
A1 - Zhong-qiang Liu
A1 - Dong Guo
A1 - Suzanne Lacasse
A1 - Jin-hui Li
A1 - Bei-bei Yang
A1 - Jung-chan Choi
J0 - Journal of Zhejiang University Science A
VL - 21
IS - 6
SP - 412
EP - 429
%@ 1673-565X
Y1 - 2020
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2000005
Abstract: landslides represent major threats to life and property in many areas of the world, such as the landslides in the Three Gorges Dam area in mainland China. To better prepare for landslides in this area, we explored how several machine learning algorithms (long short term memory (LSTM), random forest (RF), and gated recurrent unit (GRU)) might predict ground displacements under three types of landslides, each with distinct step-wise displacement characteristics. landslide displacements are described with trend and periodic analyses and the predictions with each algorithm, validated with observations from the three Gorges Dam reservoir over a one-year period. Results demonstrated that deep machine learning algorithms can be valuable tools for predicting landslide displacements, with the LSTM and GRU algorithms providing the most encouraging results. We recommend using these algorithms to predict landslide displacement of step-wise type landslides in the Three Gorges Dam area. Predictive models with similar reliability should gradually become a component when implementing early warning systems to reduce landslide risk.
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