Forecasting landslide at slope-scale: past achievements, present challenges and future perspectives

2020 ◽  
Author(s):  
Emanuele Intrieri ◽  
Tommaso Carlà ◽  
Giovanni Gigli ◽  
Nicola Casagli
Keyword(s):  
Applied Mathematics ◽  
Warning System ◽  
Open Pit ◽  
Economic Losses ◽  
Open Pit Mines ◽  
Recent Advancement ◽  
Future Challenges ◽  
Set Up ◽  
The Stability ◽  
Kinematics Parameters

<p>In general, the most reliable parameters to forecast the occurrence of a landslide are kinematics parameters, such as displacement, velocity and acceleration, since they represent the direct indicator of the stability conditions of a slope. Despite recent advancement in satellite interferometry, the highest temporal resolution, necessary to set up an effective early warning system, are still achievable from ground-based instrumentation.</p><p>Within this framework a few methods to forecast the time of failure of landslides at slope-scale have been developed in the last decades and, in many instances, they have been successfully used to prevent casualties and economic losses.</p><p>Common applications include public safety situations and open-pit mines, for which accurate warnings are crucial to protect workers and at the same time avoid unnecessary interruptions of the extraction activities.</p><p>In this work, a review of the most relevant kinematics-based forecasting methods is presented. Some examples are shown to illustrate the respective advantages, limitations and range of applicability of each method. Future challenges, trends and opportunities provided by technological innovations and scientific advances, also in related fields such as Material Science and Applied Mathematics, are also presented.</p>

Research on 2D Limit Equilibrium Method of Slopes Considering the Effect of Horizontal In Situ Stress

2013 ◽  
Vol 671-674 ◽  
pp. 245-250
Author(s):  
Wen Hui Tan ◽  
Ya Liang Li ◽  
Cong Cong Li
Keyword(s):  
Limit Equilibrium ◽  
Limit Equilibrium Method ◽  
In Situ Stress ◽  
Open Pit ◽  
Open Pit Mines ◽  
Equilibrium Method ◽  
Iron Mine ◽  
The Stability ◽  
Slice Method

At present, in-situ stress was not considered in Limit Equilibrium Method (LEM) of slopes, the influence of in-situ stress is very small on the stability of conventional slopes, but in deep-depressed open-pit mines, the influence should not be neglected. Formula for calculating the Factor of Safety (FOS) under the effect of horizontal in-situ stress was deduced using General Slice Method (GSM) of two-dimensional (2D) limit equilibrium method in this paper，a corresponding program SSLOPE was built, and the software was used in a deep- depressed open-pit iron mine. The results show that the FOS of the slope decreased by 20% when horizontal in-situ stress is considered, some reinforcements must be taken. Therefore, the influence of in-situ stress on slope stability should be taken into account in deep open –pit mines.

scholarly journals Failure of Rock Slopes With Intermittent Joints: Failure Process and Stability Calculation Models

2021 ◽  
Author(s):  
Zihan Zhou ◽  
Yanjun Shen ◽  
Zhonghui Chen
Keyword(s):  
Inclination Angle ◽  
Failure Process ◽  
Open Pit ◽  
Rock Slopes ◽  
Type B ◽  
Stability Calculation ◽  
Open Pit Mines ◽  
Type C ◽  
The Stability ◽  
Joint Inclination

Abstract Rock slopes with intermittent joints in open-pit mines are complex geological bodies composed of intact rock and discontinuous structural planes, and their stability analysis are necessary for mine disaster prevention. In this study, a series of base friction tests were performed to determine the failure process and displacement field evolution of rock slopes with intermittent joints using the speckle technique of a noncontact measurement system. Next, stability calculation models of the slopes were established from the energy perspective using the plastic limit analysis theory, and the effects of the joint inclination angle and coalescence coefficient of rock bridges on the slope stability were evaluated. The four main conclusions are as follows. (1) The failure of rock slopes with intermittent joints shows the feature of collapse-lower traction-upper push. (2) Based on the failure modes of rock bridges in slopes, the failure of rock slopes with intermittent joints could be divided into three types: tensile coalescence (Type A), shear coalescence (Type B), and tensile–shear coalescence (Type C). (3) Among the three slope types, the stability of the Type A slope is significantly influenced by rock cohesion, whereas that the Type B slope is significantly influenced by joint cohesion. The stability of the Type C slope is significantly influenced by the joint inclination angle and joint friction angle. (4) The local-stable slope is unstable while the first through-tensile crack in the zone of the potential sliding body higher than the critical instability height appeared. This study guides the stability evaluation and instability prediction of jointed rock slopes in open-pit mines.

scholarly journals Towards Landslides Early Warning System With Fog - Edge Computing And Artificial Intelligence**

2021 ◽  
Vol 15 (02) ◽  
pp. 11-17
Author(s):  
Olivier Debauche ◽  
Meryem Elmoulat ◽  
Saïd Mahmoudi ◽  
Sidi Ahmed Mahmoudi ◽  
Adriano Guttadauria ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Early Warning ◽  
Large Scale ◽  
Prediction Models ◽  
Warning System ◽  
Early Warning Systems ◽  
Economic Losses ◽  
Warning Systems ◽  
Large Scale Data ◽  
Set Up

Landslides are phenomena that cause significant human and economic losses. Researchers have investigated the prediction of high landslides susceptibility with various methodologies based upon statistical and mathematical models, in addition to artificial intelligence tools. These methodologies allow to determine the areas that could present a serious risk of landslides. Monitoring these risky areas is particularly important for developing an Early Warning Systems (EWS). As matter of fact, the variety of landslides’ types make their monitoring a sophisticated task to accomplish. Indeed, each landslide area has its own specificities and potential triggering factors; therefore, there is no single device that can monitor all types of landslides. Consequently, Wireless Sensor Networks (WSN) combined with Internet of Things (IoT) allow to set up large-scale data acquisition systems. In addition, recent advances in Artificial Intelligence (AI) and Federated Learning (FL) allow to develop performant algorithms to analyze this data and predict early landslides events at edge level (on gateways). These algorithms are trained in this case at fog level on specific hardware. The novelty of the work proposed in this paper is the integration of Federated Learning based on Fog-Edge approaches to continuously improve prediction models.

Real-time monitoring and early warning of transmission tower foundations under landslide disasters

2020 ◽  
Author(s):  
ChenChen Huang ◽  
Kunlong Yin ◽  
Xin Liang
Keyword(s):  
Transmission Lines ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Economic Losses ◽  
Transmission Tower ◽  
Long Distance ◽  
Geological Disasters ◽  
Landslide Deformation ◽  
The Stability

<p>The Ultra High Voltage (UHV) power grids in China are playing an important role of large-region power supply, contain long-distance interconnected channels that have to span a variety of different geomorphic units. However, geological disasters around transmission lines can threaten the reliability of UHV system. Landslides, one of the most common geological disasters in China, can affect the stability of transmission towers by shearing their foundations or involving them to move overall. Once a power tower is destroyed catastrophically, it may lead to widespread power outages, which can result in serious social adverse effects and huge economic losses. This paper presents a multi-technology early warning system for monitoring landslide deformation and observing transmission tower stability. In this system, there are three categories of monitoring information, including landslide displacement, external hydrological conditions and the stability of tower, integrated that are critical to predicting slope stability. To implement this system, a variety of techniques are employed. Firstly, advanced aviation technologies, such as Interferometric Synthetic Aperture Rader (InSAR) and unmanned aerial vehicle (UAV) are used to monitor the overall deformation of the landslide. Absolute surface displacement, subsurface displacement and relative displacement of cracks are recorded by the Global Navigation Satellite System (GNSS), deep inclinometer cooperating with optical fiber sensors and surface crack meters respectively. Second, the two main factors influencing landslide deformation, rainfall and underground water level, are observed by rain gauge and pressure gauge respectively. Third, in order to evaluate the stability of tower, earth pressure sensors are installed on the four foots of the tower foundation and pylon inclinometer is installed on the tower body. This system has been applied to the Doupozi landslide, where a tower of 500KV Shen-wan UHV line is located. Compared with that of traditional methods, the recording process of the multi-technology system is automatic and continuous, which can save human resource cost. Besides, the integrated monitoring data obtained from this system can be used to analyze the interaction between geological disasters and power towers. The multi-technology early warning system is also suitable for risk mitigation of transmission lines, oil and gas pipelines, highways, railways and other linear projects in mountainous areas.</p>

scholarly journals Slope stability evaluation and monitoring of Tonglushan ancient copper mine relics

2018 ◽  
Vol 10 (8) ◽  
pp. 168781401879170 ◽  
Author(s):  
Zhigang Tao ◽  
Chun Zhu ◽  
Xiaohui Zheng ◽  
Manchao He
Keyword(s):  
Slope Stability ◽  
Limit Equilibrium ◽  
Warning System ◽  
Open Pit ◽  
Western Slope ◽  
Factors Affecting ◽  
Copper Mine ◽  
Limit Equilibrium Methods ◽  
The Stability ◽  
Major Factors

Due to natural environmental conditions and the effect of man, geological disasters (landslides, earthquakes, etc.) pose a serious threat to ancient relics distributed across China. In consideration of the current situation at the Tonglushan ancient copper mine relics, and on the basis of hydrology and geological engineering conditions of ancient relics, major factors affecting slope stability of ancient relics are analyzed. In light of major working condition types in the slopes of ancient relics, slope stability in relation to earthquakes and rainfall is analyzed using GeoStudio software with limit equilibrium methods. Results indicate that, with sustained rainfall, all slopes in the current reinforcement measure maintain a suitable stabilization status, but slope stability will sharply decline in response to an earthquake. Therefore, the influence of mining blasting activities on slope stability is analyzed. In view of the deformation characteristics of ancient copper mines, the sliding force remote monitoring and warning system based on the constant resistance and large deformation anchor bolt is adopted to continuously monitor the stability of the west slope of the relics. Monitoring results show that the application of “mechanical gun” instead of “explosive blasting” mining technique in the open-pit mine has effectively reduced the influence of mining disturbance on the stability of the western slope. As slope deformation of the relics can be effectively monitored and controlled, our findings provide a theoretical basis to analyze slope stability in other similar cultural relics.

Geotechnical assessments of the stability of slopes at the Cakmakkaya and Damar open pit mines (Turkey): a case study

2009 ◽  
Vol 61 (4) ◽  
pp. 741-755 ◽  
Author(s):  
Fehmi Arikan ◽  
Fatih Yoleri ◽  
Sureyya Sezer ◽  
Dincer Caglan ◽  
Bengu Biliyul
Keyword(s):  
Open Pit ◽  
Open Pit Mines ◽  
Stability Of Slopes ◽  
The Stability

scholarly journals Preface

2021 ◽  
Vol 2068 (1) ◽  
pp. 011001
Keyword(s):  
Applied Mathematics ◽  
Optimization Methods ◽  
Computing Methods ◽  
Professional Relationships ◽  
Network Connection ◽  
Virtual Meeting ◽  
Set Up ◽  
The Stability ◽  
Poster Presentations ◽  
Oral Presentations

Thanks for your participations in 2021 4th International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2021), which was re-scheduled to be held in virtual meeting via Tencent Meeting on September 17, 2021 due to the current severe situation of the epidemic worldwide. AMMS 2021 virtual meeting aims to provide an excellent and valuable opportunity for experts to exchange ideas and results covering Mathematics, Optimization Methods, Computing Methods and Advanced Computing, and strengthen the collaboration among researchers, faculty, and doctors from both academia and industry. With its strong emphasis on innovative approaches, AMMS 2021 Online Meeting offered a chance for scientists and educators working in different areas and help them advance their own research and forge new professional relationships and collaborations. This virtual meeting including Keynote Speech, Oral presentations, Poster presentations, Q & A section started at 09:00 am, Beijing time on September 17, 2021. And our staff set up a test room before the formal meeting to ensure the stability of all participants including video, audio, screen sharing, network connection, etc. List of AMMS 2021 Organization Committees, General Chairs, General Co-Chairs, Publication Chairs, Publication Co-Chairs, International Scientific Committees, Algeria are available in the pdf

Monitoring the effects on the water balance of the Garzweiler open pit mine: concepts, methods and experience

2010 ◽  
Vol 10 (4) ◽  
pp. 534-540
Author(s):  
B. Bucher ◽  
R. Jaritz ◽  
D. Berger
Keyword(s):  
Effective Means ◽  
Monitoring Program ◽  
Warning System ◽  
Open Pit Mine ◽  
Open Pit ◽  
Negative Effects ◽  
The Public ◽  
Western Germany ◽  
Extensive Program ◽  
Set Up

In western Germany brown coal is extracted in large open pit mines causing a vast groundwater depression. To reduce the negative effects an extensive program of re-infiltration has been established. Based on guidelines for mining at the Garzweiler open pit mine a specific monitoring program of spatial surveillance, control and assessment of relevant hydrological and ecological parameters has been set up. Serving as an early-warning system, monitoring enables prompt recognition of negative developments and reduces the risk of damage to the water supply, to the waters and wetlands. Ten years of experience has shown that such a monitoring program provides a suitable and effective means of dealing with complex, long term water management issues. The involvement of stable institutions equipped with the necessary expertise, regular participation of all stakeholders and communication with decision makers and the public are seen as the important criteria for success.

Sign in / Sign up

Export Citation Format

Share Document