[HTML][HTML] Geohazards in the three Gorges Reservoir Area, China–Lessons learned from decades of research

H Tang, J Wasowski, CH Juang - Engineering Geology, 2019 - Elsevier
The impoundment of the 660-km long reservoir behind the huge Three Gorges Dam, the
world's largest hydropower station, increased regional seismicity and reactivated severe …

Efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms

W Zhang, C Wu, L Tang, X Gu, L Wang - Gondwana Research, 2023 - Elsevier
Abstract The Three Gorges Reservoir Area (TGRA) is one of the most important areas for
landslide prevention and mitigation in China. Rational reliability analysis of reservoir slope …

Susceptibility of reservoir-induced landslides and strategies for increasing the slope stability in the Three Gorges Reservoir Area: Zigui Basin as an example

C Li, Z Fu, Y Wang, H Tang, J Yan, W Gong, W Yao… - Engineering …, 2019 - Elsevier
The construction of the huge Three Gorges reservoir affected a large region, and the
resultant geological and environmental impacts have caused global concern. The …

基于水系分区的滑坡易发性机器学习分析方法: 以重庆市奉节县为例

仉文岗, 何昱苇, 王鲁琦, 刘松林, 陈柏林 - 地球科学, 2023 - earth-science.net
三峡库区是地质灾害管理的重点地区, 鉴于长江对其沿岸边坡的水力作用不容忽视,
因此需进一步研究水系因素对滑坡易发性的影响. 以重庆市奉节县为例, 考虑区域内水系影响 …

Automated machine learning-based landslide susceptibility mapping for the Three Gorges Reservoir Area, China

J Ma, D Lei, Z Ren, C Tan, D Xia, H Guo - Mathematical Geosciences, 2024 - Springer
Abstract Machine learning (ML)-based landslide susceptibility mapping (LSM) has achieved
substantial success in landslide risk management applications. However, the complexity of …

Toward the reliable prediction of reservoir landslide displacement using earthworm optimization algorithm-optimized support vector regression (EOA-SVR)

Z Liu, J Ma, D Xia, S Jiang, Z Ren, C Tan, D Lei, H Guo - Natural Hazards, 2024 - Springer
Reliable prediction of reservoir displacement is essential for practical applications. Machine
learning offers an attractive and accessible set of tools for the displacement prediction of …

Enhanced Kinematic Inversion of 3‐D Displacements, Geometry, and Hydraulic Properties of a North‐South Slow‐Moving Landslide in Three Gorges Reservoir

W Zheng, J Hu, Z Lu, X Hu, Q Sun, J Liu… - … Research: Solid Earth, 2023 - Wiley Online Library
Abstract Complete three‐dimensional (3‐D) movements of slow‐moving landslides are
critical to enhancing the understanding of the landslide mechanism. Multi‐source synthetic …

Study on landslide susceptibility mapping based on rock–soil characteristic factors

X Yu, K Zhang, Y Song, W Jiang, J Zhou - Scientific reports, 2021 - nature.com
This study introduces four rock–soil characteristics factors, that is, Lithology, Rock Structure,
Rock Infiltration, and Rock Weathering, which based on the properties of rock formations, to …

An attribution deep learning interpretation model for landslide susceptibility mapping in the three gorges reservoir area

C Chen, L Fan - IEEE Transactions on Geoscience and Remote …, 2023 - ieeexplore.ieee.org
Deep learning (DL) models are increasingly used for landslide susceptibility mapping (LSM)
due to their higher accuracy. However, due to the lack of explanations of the influence of …

Activity law and hydraulics mechanism of landslides with different sliding surface and permeability in the Three Gorges Reservoir Area, China

M Tang, Q Xu, H Yang, S Li, J Iqbal, X Fu, X Huang… - Engineering …, 2019 - Elsevier
Abstract The Three Gorges Hydropower Station is the largest hydropower station worldwide
and the largest project ever built in China. There are about 2619 ancient landslides affected …