Prediction of landslide sharp increase displacement by SVM with considering hysteresis of groundwater change

Han, Heming; Shi, Bin; Zhang, Lei

doi:10.1016/j.enggeo.2020.105876

Cited by 80 publications

(29 citation statements)

References 28 publications

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“…The stress field adjustment and rock-soil mass deformation triggered by excavation unloading may result in primary crack expansion and new crack generation in the slope. Meanwhile, water infiltration can promote the propagation of cracks, increase the rock-soil mass weight, and reduce the rock-soil mass shear strength [19][20][21][22]. An optimization of the scope of reclamation works with respect to the shaping of the reservoir slopes mainly involves defining the limit values of their stability and load-bearing capacity.…”

Section: Optimization Of Reclamation Work In the Aquatic Directionmentioning

confidence: 99%

Slope Shape Optimization of Water Reservoirs Formed Due to the Reclamation of Post-Mining Excavations

2022

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Reclamation of post-mining areas is one of the most important duties of an entrepreneur involved in mining mineral resources with the use of surface techniques. There are various forms of reclamation activities that depend on the chosen reclamation direction and intended function of the reclaimed object as well as from the type of the mined mineral. When there is water present in the mining excavation, we are talking about the aquatic direction of reclamation. This particular type of post-mining area requires a particular shape—especially if its intended future function is recreational. This research addresses optimization-related analyses and calculations of slope inclination in water reservoirs formed in post-mining excavations of both clastic and clay rock raw materials. Considering the conditions of stability and load-bearing capacity of water reservoir slopes, their optimum slopes were determined using the FlexPDE v 6.0 program., based on a two-dimensional elastoplastic model from the Coulomb–Mohr criterion. The inclinations of 1:5 and 1:15 are proposed, respectively, for the above-waterline and below-waterline slopes that serve a beach function. Slopes that do not serve a beach function are proposed to have an inclination of 1:2. Obviously, the strength conditions in the soil medium as well as the comfort of users were key drivers when it comes to selection of the slope inclinations.

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Section: Optimization Of Reclamation Work In the Aquatic Directionmentioning

confidence: 99%

Slope Shape Optimization of Water Reservoirs Formed Due to the Reclamation of Post-Mining Excavations

2022

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“…In recent years, the optical fiber sensing technology has shown its advantages in geological hazard monitoring and early warning [67,72,73]. The monitoring technology has been successfully applied to monitoring geological hazards such as landslides, ground collapse, ground subsidence, and ground fissures [21,[74][75][76][77][78][79][80][81]. In geological hazard monitoring, deformation of rock and soil mass and water distribution are two very important monitoring contents.…”

Section: Applications To Geo-hazards Monitoringmentioning

confidence: 99%

DFOS Applications to Geo-Engineering Monitoring

et al. 2021

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Optical fiber sensing technology has developed rapidly since the 1980s with the development of the optical fiber and fiber optical communication technology. It is a new type of sensing technology that uses light as a carrier and optical fiber as a medium to sense and transmit external signals (measurands). Distributed fiber optical sensors (DFOS) can continuously measure the external physical parameters distributed along the geometric path of the optical fiber. Meanwhile, the spatial distribution and change information of the measured physical parameters over time can be obtained. This technology has unmatched advantages over traditional point-wise and electrical measurement monitoring technologies. This paper summarizes the state-of-the-art research of the application of the distributed optical fiber sensing technology in geo-engineering in the past 10 years, mainly including the advantages of DFOS, the challenges in geo-engineering monitoring, related fundamental theoretical issues, sensing performance of the optical sensing cables, distributed optical fiber monitoring system for geo-engineering, and applications of optical fiber sensing technology in geo-engineering.

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“…Taking into consideration the lag fluctuation of the groundwater level, the SVC-PSO-SVR model was proposed to predict landslide displacement by Han et al [33]. Deng et al [34] used acoustic emission sound generation and rainfall as data inputs, and the equivalent reservoir water level function model was combined with Lasso-ELM to improve the accuracy of landslide displacement prediction.…”

Section: Introductionmentioning

confidence: 99%

Landslide Displacement Prediction Based on Time-Frequency Analysis and LMD-BiLSTM Model

Lin

Liang

et al. 2022

Mathematics

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In landslide displacement prediction, random factors that would affect the performance of prediction are usually ignored by using a time series analysis method. In order to solve this problem, in this paper, a landslide displacement prediction model, the local mean decomposition-bidirectional long short-term memory (LMD-BiLSTM), is proposed based on the time-frequency analysis method. The model uses the local mean decomposition (LMD) algorithm to decompose landslide displacement and obtains several subsequences of landslide displacement with different frequencies. This paper analyzes the internal relationship between the landslide displacement and rainfall, reservoir water level, and landslide state. The maximum information coefficient (MIC) algorithm is used to calculate the intrinsic correlation between each subsequence of landslide displacement and rainfall, reservoir water level, and landslide state. Subsequences of influential factors with high correlation are selected as input variables of the bidirectional long short-term memory (BiLSTM) model to predict each subsequence. Finally, the predicted results of each of the subsequences are added to obtain the final predicted displacement. The proposed LMD-BiLSTM model effectiveness is verified based on the Baishuihe landslide. The prediction results and evaluation indexes show that the model can accurately predict landslide displacement.

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Prediction of landslide sharp increase displacement by SVM with considering hysteresis of groundwater change

Cited by 80 publications

References 28 publications

Slope Shape Optimization of Water Reservoirs Formed Due to the Reclamation of Post-Mining Excavations

Slope Shape Optimization of Water Reservoirs Formed Due to the Reclamation of Post-Mining Excavations

DFOS Applications to Geo-Engineering Monitoring

Landslide Displacement Prediction Based on Time-Frequency Analysis and LMD-BiLSTM Model

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