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Sheng Chen, Yang Hao, Wencai Zhang, Ying Sun and Xue Liu
Because the failure potential of a landslide is difficult to assess, a motorway landslide that has obviously deformed was used as a case study in this research. Several multi-integrated geotechniques, including field investigation, drilling, electrical r...
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Liang Liu, Jiqiu Deng and Yu Tang
The landslide early warning system (LEWS) relies on various models for data processing, prediction, forecasting, and warning level discrimination. The potential different programming implementations and dependencies of these models complicate the deploym...
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Ping Wang, Xingdong Deng, Yang Liu, Liang Guo, Jun Zhu, Lin Fu, Yakun Xie, Weilian Li and Jianbo Lai
Landslide monitoring plays an important role in predicting, forecasting and preventing landslides. Quantitative explorations at the subject level and fine-scale knowledge in landslide monitoring research can be used to provide information and references ...
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Xing Du, Yongfu Sun, Yupeng Song, Zongxiang Xiu and Zhiming Su
A submarine landslide is a well-known geohazard that can cause significant damage to offshore engineering facilities. Most standard predicting and mapping methods require expert knowledge, supervision, and fieldwork. In this research, the main objective ...
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Chotirot Dechkamfoo, Sitthikorn Sitthikankun, Thidarat Kridakorn Na Ayutthaya, Sattaya Manokeaw, Warut Timprae, Sarote Tepweerakun, Naruephorn Tengtrairat, Chuchoke Aryupong, Peerapong Jitsangiam and Damrongsak Rinchumphu
Landslide incidents frequently occur in the upper northern region of Thailand due to its topography, which is mostly mountainous with high slopes. In the past, when landslides happened in this area, they affected traffic accessibility for rescue and evac...
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Xiaoxu Niu, Junwei Ma, Yankun Wang, Junrong Zhang, Hongjie Chen and Huiming Tang
The proposed decomposition-ensemble learning model can be efficiently used to enhance the prediction accuracy of landslide displacement prediction and can also be extended to other difficult forecasting tasks in the geosciences with extremely complex non...
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Guoqi Qian, Antoinette Tordesillas and Hangfei Zheng
High-dimensional, non-stationary vector time-series data are often seen in ground motion monitoring of geo-hazard events, e.g., landslides. For timely and reliable forecasts from such data, we developed a new statistical approach based on two advanced ec...
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Minu Treesa Abraham, Neelima Satyam, Sai Kushal, Ascanio Rosi, Biswajeet Pradhan and Samuele Segoni
Rainfall-induced landslides are among the most devastating natural disasters in hilly terrains and the reduction of the related risk has become paramount for public authorities. Between the several possible approaches, one of the most used is the develop...
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Rossella Bovolenta, Alessandro Iacopino, Roberto Passalacqua and Bianca Federici
Monitoring changes in soil saturation is important for slope stability analyses. Soil moisture capacitive sensors have recently been developed; their response time is extremely fast, they require little maintenance, and they are relatively inexpensive. T...
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Ascanio Rosi, Vanessa Canavesi, Samuele Segoni, Tulius Dias Nery, Filippo Catani and Nicola Casagli
In 2011 Brazil experienced the worst disaster in the country?s history. There were 918 deaths and thousands made homeless in the mountainous region of Rio de Janeiro State due to several landslides triggered by heavy rainfalls. This area constantly suffe...
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