scholarly journals High alpine geotechnical real time monitoring and early warning at a large imminent rock slope failure (Hochvogel, GER/AUT)

2021 ◽  
Vol 833 (1) ◽  
pp. 012146
Author(s):  
J Leinauer ◽  
B Jacobs ◽  
M Krautblatter
2021 ◽  
Vol 13 (1) ◽  
pp. 1040-1052
Author(s):  
Dunlong Liu ◽  
Lei He ◽  
Qian Wu ◽  
Yan Gao ◽  
Bin Liu ◽  
...  

Abstract As geo-hazard monitoring data increases in category and size, conventional geo-hazard information management systems, without a unified integration framework and visualized data display, are unable to satisfy the urgent needs of geo-hazard information management. Representational State Transfer (REST), a resource-centered service architecture, abstracts data and services into resources for unified Uniform Resource Identifier access, enabling it to take full advantage of HTTP with great flexibility and scalability. Based on the REST service architecture, this paper constructs a 3D geo-hazard monitoring and early warning platform with sound service compatibility and scalability by integrating geographical information, real-time monitoring data, and early warning models into the 3D Digital Earth framework. The platform displays topography, stratum lithology, and relevant information, as well as real-time monitoring data in a 3D visual, and provides early warning services for geo-hazards through access to real-time early warning models. As a result, it is capable of providing comprehensive information management, monitoring, and early warning of multiple geo-hazards, aiding decision-making in disaster prevention and mitigation, and enhancing the information level of geo-hazard prevention and mitigation work.


2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Sungyong Park ◽  
Hyuntaek Lim ◽  
Bibek Tamang ◽  
Jihuan Jin ◽  
Seungjoo Lee ◽  
...  

Many causalities and economic losses are caused by natural disasters, such as landslides and slope failures, every year. This suggests that there is a need for an early warning system to mitigate casualties and economic losses. Most of the studies on early warning systems have been carried out by predicting landslide-prone areas, but studies related to the prediction of landslide occurrence time points by the real-time monitoring of slope displacement are still insufficient. In this study, a displacement sensor and an Internet of Things (IoT) monitoring system were combined together, to monitor slope failure through cutting experiments of a real-scale model slope. Real-time monitoring of the slope movement was performed simultaneously via a low-cost, efficient, and easy-to-use IoT system. Based on the obtained displacement data, an inverse displacement analysis was performed. Finally, a slope instrumentation standard was proposed based on the slope of the inverse displacement for early evacuation before slope failure.


2012 ◽  
Vol 7 (19) ◽  
pp. 140-146
Author(s):  
Xiaolong XUE ◽  
Ning SHI ◽  
Xiang CHEN ◽  
Chengwu Wang ◽  
Qi Zhao ◽  
...  

2011 ◽  
Vol 3 ◽  
pp. 37-46 ◽  
Author(s):  
Dewu Jin ◽  
Gang Zheng ◽  
Zaibin Liu ◽  
Yingfeng Liu ◽  
Xiqi Pang

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