Results 11 to 20 of about 93,418 (156)

Characteristic analysis of large-scale loess landslides: a case study in Baoji City of Loess Plateau of Northwest China [PDF]

Natural Hazards and Earth System Sciences, 2011
Landslides are one of the most common geologic hazards in the Loess Plateau of northwest China, especially with some of the highest landslide densities found in Shaanxi and adjacent provinces. Prior to assessing the landslide hazard, a detailed landslide
H. B. Wang, B. Zhou, S. R. Wu, J. S. Shi, B. Li   +4 more
doaj   +5 more sources

Shallow-landslide stability evaluation in loess areas according to the Revised Infinite Slope Model: a case study of the 7.25 Tianshui sliding-flow landslide events of 2013 in the southwest of the Loess Plateau, China [PDF]

Natural Hazards and Earth System Sciences
The occurrence of shallow loess landslides induced by prolonged heavy rainfall is prevalent in loess-dominated regions, often leading to property damage, human casualties, and sediment pollution.
J. Zhuang, J. Peng, C. Du, Y. Zhu, J. Kong   +4 more
doaj   +3 more sources

Research of Deformation and Soil Moisture in Loess Landslide Simultaneous Retrieved with Ground-Based GNSS

Remote Sensing, 2022
The Loess Plateau is one of the three most severely affected geological disaster areas in China. Water sensitivity is the most significant feature of the loess.
Xin Zhou, Shuangcheng Zhang, Qin Zhang, Qi Liu, Zhongmin Ma, Tao Wang, Jing Tian, Xinrui Li   +7 more
doaj   +2 more sources

Influence of a Landslide on a Tunnel in Loess-Bedrock Ground

Applied Sciences, 2022
By combining model testing and numerical simulation, this paper focuses on the influence of landslides on tunnels in loess-bedrock strata by using the perfect landslide–tunnel system (LTS). A mechanical test and simulation (MTS) system was used to provide thrust for loading and unloading the trailing edge of the slope. A Particle Image Velocimetry (PIV)
Sun, Zhijie, Yang, Xuanyu, Lu, Shuai, Chen, Yang, Li, Pengfei   +4 more
openaire   +3 more sources

Study on Treatment of Loess Landslide Based on Nanosilica and Fly Ash Composite Stabilizer Filling Fissures

Advances in Civil Engineering, 2020
Frequent occurrence of landslides has seriously threatened the infrastructural projects in the Loess Plateau, China. At the beginning, with development of the landslide, several fissures were generated along the internal weak surface.
Jiulong Gao, Jiading Wang, Yao Wei, Shaotong Jiao, Meng Jing, Jialing Gao, Cong Wang   +6 more
doaj   +2 more sources

Triggering mechanics and early warning for snowmelt-rainfall-induced loess landslide

Scientific Reports
Loess landslides represent a significant natural hazard, especially in arid and semi-arid regions where slopes are exposed to prolonged snowmelt and rainfall infiltration.
Kaidierding Wulamu, Zizhao Zhang, Qianli Lv, Guangming Shi, Yanyang Zhang, Shichuan Liang   +5 more
doaj   +2 more sources

Landslide Distribution and Development Characteristics in the Beiluo River Basin

Land
The Beiluo River Basin, situated in the central region of the Loess Plateau, frequently experiences landslide geological disasters, posing a severe threat to local lives and property.
Fan Liu, Yahong Deng, Tianyu Zhang, Faqiao Qian, Nan Yang, Hongquan Teng, Wei Shi, Xue Han   +7 more
doaj   +2 more sources

Simulation and prediction of dynamic process of loess landslide and its impact damage to houses

Frontiers in Earth Science
The mountainous areas of the Loess Plateau in China are crisscrossed with ravines, fragile ecological environment, and frequent landslide hazards.
Zhou Zhao, Yuhan Zhang, Xing Chen, Jiangbo Wei, Jianquan Ma, Hao Tang, Fei Liu   +6 more
doaj   +2 more sources

CTHNet: A CNN–Transformer Hybrid Network for Landslide Identification in Loess Plateau Regions Using High-Resolution Remote Sensing Images

Sensors
The Loess Plateau in northwest China features fragmented terrain and is prone to landslides. However, the complex environment of the Loess Plateau, combined with the inherent limitations of convolutional neural networks (CNNs), often results in false ...
Juan Li, Jin Zhang, Yongyong Fu
doaj   +2 more sources

Training outputs of the loess landslide detector

, 2023
<p>Training output from a loess landslide detector.
Ji, Qingyun
core   +2 more sources