Hysteresis effect and seasonal step-like creep deformation of the Jiuxianping landslide in the Three Gorges Reservoir region

H Yang, K Song, L Chen, L Qu - Engineering Geology, 2023 - Elsevier
Slow-moving landslides are common in the Three Gorges reservoir (TGR) region. It may
evolve into massive landslide hazards due to reservoir level fluctuation and rainfall. The …

Comparative characterization of sandstone microstructure affected by cyclic wetting-drying process

Q Ke, C Li, W Yao, Y Fan, H Zhan, B Li… - International Journal of …, 2023 - Elsevier
As a consequence of seasonal variations in groundwater level and reservoir water level,
natural rocks generally experience the cyclic wetting-drying process, in which the change in …

Physics-informed data assimilation model for displacement prediction of hydrodynamic pressure-driven landslide

Y Liu, J Long, C Li, W Zhan - Computers and Geotechnics, 2024 - Elsevier
Due to the complex and non-linear characteristics of landslide evolution, the deformation
law of landslides is always hard to be predicted. Considering the dynamical evolution …

Updated Global Navigation Satellite System Observations and Attention-Based Convolutional Neural Network–Long Short-Term Memory Network Deep Learning …

B Yang, Z Guo, L Wang, J He, B Xia, S Vakily - Remote Sensing, 2023 - mdpi.com
Landslide displacement prediction has garnered significant recognition as a pivotal
component in realizing successful early warnings and implementing effective control …

Revisiting spatiotemporal evolution process and mechanism of a giant reservoir landslide during weather extremes

X Ye, HH Zhu, FN Chang, TC Xie, F Tian, W Zhang… - Engineering …, 2024 - Elsevier
An updated comprehension of landslide kinematics is a prerequisite for developing effective
risk assessment and emergency management in the context of climate variability and …

[HTML][HTML] Integrating feature selection with machine learning for accurate reservoir landslide displacement prediction

Q Ge, J Wang, C Liu, X Wang, Y Deng, J Li - Water, 2024 - mdpi.com
Accurate prediction of reservoir landslide displacements is crucial for early warning and
hazard prevention. Current machine learning (ML) paradigms for predicting landslide …

Prediction and pre-warning of step-like landslide displacement based on deep learning coupled with ICEEMDAN

Z Zheng, Y Li, Y Zhang, L Wen, X Kang, X Sun - Measurement, 2024 - Elsevier
Characterized by abrupt and creep displacements, prediction and pre-warning of step-like
landslides pose significant challenges. To address this issue, we proposed a novel …

Causes of episodic movement of the Baijiabao landslide based on multiple-time scale analysis

Z Fu, DQ Li, S Wang, L Zhang, W Du - Landslides, 2024 - Springer
Since the impoundment of the Three Gorges Reservoir (TGR), China, the TGR region has
developed numerous landslides, most of which exhibited episodic movement behavior. As a …

A Novel Approach to Enhance Landslide Displacement Prediction with Finer Monitoring Data: A Case Study of the Baijiabao Landslide

D Xia, H Tang, T Glade - Remote Sensing, 2024 - mdpi.com
Rainfall and reservoir water level are commonly regarded as the two major influencing
factors for reservoir landslides and are employed for landslide displacement prediction, yet …

Emergency treatment effect evaluation of rear-slope cutting and front-slope pressing on a hydrodynamic pressure landslide: a case study of the Shuping landslide in …

Z Fan, S Wang, L Wang, F Guo, F Nan, Y Hu - Bulletin of Engineering …, 2024 - Springer
Hydrodynamic pressure caused by a decline in reservoir water-level is one of the dominant
factors inducing the deformation of reservoir landslides in mountainous areas, which can …