Slope stability prediction based on a long short-term memory neural network: Comparisons with convolutional neural networks, support vector machines and random …

F Huang, H Xiong, S Chen, Z Lv, J Huang… - International Journal of …, 2023 - Springer
The numerical simulation and slope stability prediction are the focus of slope disaster
research. Recently, machine learning models are commonly used in the slope stability …

A multi-feature fusion transfer learning method for displacement prediction of rainfall reservoir-induced landslide with step-like deformation characteristics

J Long, C Li, Y Liu, P Feng, Q Zuo - Engineering Geology, 2022 - Elsevier
Rainfall reservoir-induced landslides in the Zigui Basin, China Three Gorges Reservoir
(CTGR) area, exhibit typical step-like deformation characteristics with mutation and creep …

[PDF][PDF] 机器学习在滑坡智能防灾减灾中的应用与发展趋势

窦杰, 向子林, 许强, 郑鹏麟, 王协康, 苏爱军, 刘军旗… - 地球科学, 2023 - earth-science.net
滑坡灾害易发频发, 点多面广, 隐蔽性强, 危害严重. 开展“天‒空‒地‒深” 观测一体化的滑坡早期
识别, 易发性评价及预测预报, 对于保障人民生命和财产安全, 推进滑坡灾害防治能力现代化具有 …

Step-like displacement prediction and failure mechanism analysis of slow-moving reservoir landslide

K Song, H Yang, D Liang, L Chen, M Jaboyedoff - Journal of Hydrology, 2024 - Elsevier
Landslides triggered by extreme rainfall due to global climate change are becoming more
frequent. The Earth surface processes activity and landform evolution caused by landslide …

The uncertainty of landslide susceptibility prediction modeling: Suitability of linear conditioning factors

F Huang, L Pan, X Fan, SH Jiang, J Huang… - Bulletin of Engineering …, 2022 - Springer
For linear conditioning factors such as rivers, roads, and geological faults, existing studies
mainly use buffer analysis in Geographic Information System to obtain discrete variables …

Evolution characteristics and displacement forecasting model of landslides with stair-step sliding surface along the Xiangxi River, three Gorges Reservoir region …

C Li, RE Criss, Z Fu, J Long, Q Tan - Engineering Geology, 2021 - Elsevier
Five large and many small landslides are developed in Jurassic strata along the lower
reaches of Xiangxi River, where interbedded weak and hard bedrock layers foster the …

Integrating landslide typology with weighted frequency ratio model for landslide susceptibility mapping: A case study from Lanzhou city of northwestern China

H Shu, Z Guo, S Qi, D Song, HR Pourghasemi, J Ma - Remote Sensing, 2021 - mdpi.com
Although numerous models have been employed to address the issue of landslide
susceptibility at regional scale, few have incorporated landslide typology into a model …

Landslide displacement prediction using kinematics-based random forests method: A case study in Jinping Reservoir Area, China

X Hu, S Wu, G Zhang, W Zheng, C Liu, C He, Z Liu… - Engineering …, 2021 - Elsevier
Purely empirical and numerical methods are widely used in landslide movement prediction
because they can forecast the failure time and consider influence factors, respectively …

Insight into the permeability and microstructure evolution mechanism of the Sliding Zone Soil: a Case Study from the Huangtupo Landslide, Three Gorges Reservoir …

Q Wang, H Tang, P An, K Fang, J Zhang, M Miao… - Journal of Earth …, 2024 - Springer
A large number of laboratory investigations related to the permeability have been conducted
on the sliding zones. Yet little attention has been paid to the particular sliding zones of the …

Landslide susceptibility mapping using an ensemble model of Bagging scheme and random subspace–based naïve Bayes tree in Zigui County of the Three Gorges …

X Hu, C Huang, H Mei, H Zhang - Bulletin of Engineering Geology and the …, 2021 - Springer
A novel machine learning ensemble model that is a hybridization of Bagging and random
subspace–based naïve Bayes tree (RSNBtree), named as BRSNBtree, was used to prepare …