Loess geohazards research in China: Advances and challenges for mega engineering projects

CH Juang, T Dijkstra, J Wasowski, X Meng - Engineering geology, 2019 - Elsevier
Loess is a meta-stable, cemented assemblage of mainly silt and clay-sized particles of low
plasticity. When dry it behaves like a brittle material, but when wetted up the fabric rapidly …

[HTML][HTML] A unified landslide classification system for loess slopes: A critical review

Y Li, P Mo - Geomorphology, 2019 - Elsevier
Over the last few decades, many landslide classification systems have been developed.
Inconsistencies across these systems have inevitably led to ambiguity, confusion, and …

Detection and segmentation of loess landslides via satellite images: A two-phase framework

H Li, Y He, Q Xu, J Deng, W Li, Y Wei - Landslides, 2022 - Springer
Landslides are catastrophic natural hazards that often lead to loss of life, property damage,
and economic disruption. Image-based landslide investigations are crucial for determining …

[HTML][HTML] 突发型黄土滑坡监测预警理论方法研究——以甘肃黑方台为例

许强, 彭大雷, 何朝阳, 亓星, 赵宽耀, 修德皓 - 机械工程学报, 2020 - base.xml-journal.net
灌溉诱发的黄土滑坡大多数具有明显的突发性特征; 斜坡破坏过程变形量小, 历时短,
具有较大的危险性. 由于此类黄土滑坡加速变形阶段经历时间较短, GNSS 系统和裂缝计等传统 …

Distribution and genetic types of loess landslides in China

J Peng, S Wang, Q Wang, J Zhuang, W Huang… - Journal of Asian Earth …, 2019 - Elsevier
Abstract In this study, 14,544 loess landslides collected from the Loess Plateau of China are
used to reveal their distribution and origins. Main factors considered include landslide …

Landslide susceptibility modeling using integrated ensemble weights of evidence with logistic regression and random forest models

W Chen, Z Sun, J Han - Applied sciences, 2019 - mdpi.com
The main aim of this study was to compare the performances of the hybrid approaches of
traditional bivariate weights of evidence (WoE) with multivariate logistic regression (WoE …

Successful implementations of a real-time and intelligent early warning system for loess landslides on the Heifangtai terrace, China

Q Xu, D Peng, S Zhang, X Zhu, C He, X Qi, K Zhao… - Engineering …, 2020 - Elsevier
Real-time monitoring and intelligent early warning system are crucial and significant to take
mitigation measures and reduce casualties and property losses related to landslides. It is …

Forecasting the magnitude of potential landslides based on InSAR techniques

Y Zhang, XM Meng, TA Dijkstra, CJ Jordan… - Remote Sensing of …, 2020 - Elsevier
A new method, combining empirical modeling with time series Interferometric Synthetic
Aperture Radar (InSAR) data, is proposed to provide an assessment of potential landslide …

[HTML][HTML] 甘肃黑方台黄土滑坡InSAR 识别, 监测与失稳模式研究

赵超英, 刘晓杰, 张勤, 彭建兵, 许强 - 武汉大学学报· 信息科学版, 2019 - ch.whu.edu.cn
采用合成孔径雷达干涉测量(interferometric synthetic aperture radar, InSAR)
技术对甘肃黑方台地区潜在的黄土滑坡开展了多时相编目, 长时序监测以及失稳模式识别研究 …

Creep mechanical and microstructural insights into the failure mechanism of loess landslides induced by dry-wet cycles in the Heifangtai platform, China

B Lian, X Wang, H Zhan, J Wang, J Peng, T Gu… - Engineering …, 2022 - Elsevier
Affected by groundwater fluctuations, the loess around the hydro-fluctuation zone near the
groundwater table is frequently subjected to periodic dry-wet cycles. The investigation on the …