Prediction of landslide displacement with an ensemble-based extreme learning machine and copula models
Sign Up to like & getrecommendations! Published in 2018 at "Landslides"
DOI: 10.1007/s10346-018-1020-2
Abstract: Research on the dynamics of landslide displacement forms the basis for landslide hazard prevention. This paper proposes a novel data-driven approach to monitor and predict the landslide displacement. In the first part, autoregressive moving average… read more here.
Keywords: machine; extreme learning; landslide displacement; displacement ... See more keywords
Displacement characteristics and prediction of Baishuihe landslide in the Three Gorges Reservoir
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DOI: 10.1007/s11629-019-5470-3
Abstract: In order to reach the designated final water level of 175 m, there were three impoundment stages in the Three Gorges Reservoir, with water levels of 135 m, 156 m and 175 m. Baishuihe landslide… read more here.
Keywords: displacement; landslide displacement; prediction; water level ... See more keywords
Landslide displacement prediction technique using improved neuro-fuzzy system
Sign Up to like & getrecommendations! Published in 2017 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-017-3278-4
Abstract: Landslides are one of the most destructive forms of natural hazards, which cause serious threat to life and properties. Landslide monitoring and perdition of future landslide behavior is an important aspect of disaster mitigation, as… read more here.
Keywords: technique; neuro fuzzy; landslide displacement; prediction ... See more keywords
Landslide displacement prediction based on time series analysis and data assimilation with hydrological factors
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-020-05452-1
Abstract: The displacement prediction of an active landslide is a complicated and challenging problem worldwide. Currently, most prediction experiments focus on the mechanism model and fail to integrate with the influence factors. In this paper, a… read more here.
Keywords: data assimilation; landslide displacement; displacement; prediction ... See more keywords
Giant landslide displacement analysis using a point cloud set conflict technique: a case in Xishancun landslide, Sichuan, China
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1541331
Abstract: ABSTRACT Landslides, threatening millions of human lives, are geological phenomena on earth, occurred frequently. An increasing number of techniques are being used to monitor landslide deformation. Among these, Light Detection and Ranging (LiDAR) stands out… read more here.
Keywords: landslide; analysis; landslide displacement; giant landslide ... See more keywords
Point and Interval Predictions for Tanjiahe Landslide Displacement in the Three Gorges Reservoir Area, China
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DOI: 10.1155/2019/8985325
Abstract: Accurate landslide displacement prediction has great practical significance for mitigating geohazards. Traditional deterministic forecasting methods can provide only a single point value and cannot give the degree of uncertainty associated with the forecast, thereby failing… read more here.
Keywords: landslide displacement; three gorges; tanjiahe landslide; displacement ... See more keywords
A Landslide Displacement Prediction Method with Iteration-Based Combined Strategy
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Problems in Engineering"
DOI: 10.1155/2021/6692503
Abstract: Predicting landslide displacement is of great significance in geotechnical engineering. An iteration-based combined prediction method was proposed for predicting the landslide displacement in this paper. Firstly, the landslide displacement was predicted by 10 latest multivariable… read more here.
Keywords: prediction method; based combined; landslide displacement;
Time Series Prediction Model of Landslide Displacement Using Mean-Based Low-Rank Autoregressive Tensor Completion
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13085214
Abstract: Landslide displacement prediction is a challenging research task that can help to reduce the occurrence of landslide disasters. The frequent occurrence of extreme weather increases the probability of landslides, and the subsequent increase in the… read more here.
Keywords: prediction model; completion; landslide displacement; missing data ... See more keywords
Landslide Displacement Prediction Based on Time Series Analysis and Double-BiLSTM Model
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19042077
Abstract: In recent years, machine learning models facilitated notable performance improvement in landslide displacement prediction. However, most existing prediction models which ignore landslide data at each time can provide a different value and meaning. To analyze… read more here.
Keywords: bilstm model; displacement prediction; landslide displacement; displacement ... See more keywords
Landslide Displacement Prediction Based on Multivariate LSTM Model
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph20021167
Abstract: There are many frequent landslide areas in China, which badly affect local people. Since the 1980s, there have been more than 200 landslides in China with a death toll of 30 or more people at… read more here.
Keywords: lstm model; landslide displacement; prediction; displacement prediction ... See more keywords