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Nan Qiao, Yun-Ling Duan, Xiao-Meng Shi, Xue-Fei Wei and Jin-Ming Feng
The excavation of large-scale underground projects produces a large amount of rubble waste material that is temporarily deposited near the project site, which forms a large-scale waste rockfill artificial slope. The slope has a granular structure, thus, ...
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Deming Ma, Yongsheng Li, Jianwei Cai, Bingquan Li, Yanxiong Liu and Xingguo Chen
Landslides are one of the most frequent and serious geological disasters that threaten people?s lives and property safety. In recent years, with the rapid development of the coastal economy and the increasingly strained spatial resources, the island deve...
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Ragil Andika Yuniawan, Ahmad Rifa?i, Fikri Faris, Andy Subiyantoro, Ratna Satyaningsih, Alidina Nurul Hidayah, Rokhmat Hidayat, Akhyar Mushthofa, Banata Wachid Ridwan, Eka Priangga, Agus Setyo Muntohar, Victor G. Jetten, Cees J. van Westen, Bastian V. den Bout and Samuel J. Sutanto
Landslides are one of the most disastrous natural hazards that frequently occur in Indonesia. In 2017, Balai Sabo developed an Indonesia Landslide Early Warning System (ILEWS) by utilizing a single rainfall threshold for an entire nation, leading to inac...
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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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Hongwei Jiang, Yuanyao Li, Chao Zhou, Haoyuan Hong, Thomas Glade and Kunlong Yin
Displacement predictions are essential to landslide early warning systems establishment. Most existing prediction methods are focused on finding an individual model that provides a better result. However, the limitation of generalization that is inherent...
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Liguo Zhang, Xinquan Chen, Yonggang Zhang, Fuwei Wu, Fei Chen, Weiting Wang and Fei Guo
In order to establish an effective early warning system for landslide disasters, accurate landslide displacement prediction is the core. In this paper, a typical step-wise-characterized landslide (Caojiatuo landslide) in the Three Gorges Reservoir (TGR) ...
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Benjamin B. Mirus, Michael D. Morphew and Joel B. Smith
Consistent relations between shallow landslide initiation and associated rainfall characteristics remain difficult to identify, due largely to the complex hydrological and geological processes causing slopes to be predisposed to failure and those process...
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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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Francesco Fusco, Pantaleone De Vita, Benjamin B. Mirus, Rex L. Baum, Vincenzo Allocca, Rita Tufano, Enrico Di Clemente and Domenico Calcaterra
On the 4th and 5th of March 2005, about 100 rainfall-induced landslides occurred along volcanic slopes of Camaldoli Hill in Naples, Italy. These started as soil slips in the upper substratum of incoherent and welded volcaniclastic deposits, then evolved ...
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Juan Ma, Qiang Yang, Mingzhi Zhang, Yao Chen, Wenyi Zhao, Chengyu Ouyang and Dongping Ming
Accurately predicting landslide deformation based on monitoring data is key to successful early warning of landslide disasters. Landslide displacement?time curves offer an intuitive reflection of the landslide motion process and deformation predictions o...
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Ping Xiao, Ting Wang, Yu Tian, Xinmin Xie, Jinjun You, Xinru Tan and He Chen
In this study, a Bayesian network (BN)-based inhibition model is developed for the rainstorm?landslide?debris flow (R-L-D) disaster chain in the mountainous area of the Greater Bay Area (GBA), China, using the historical disaster data. Twelve nodes are s...
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Michele Placido Antonio Gatto
Extreme and prolonged rainfall resulting from global warming determines a growing need for reliable Landslide Early Warning Systems (LEWS) to manage the risk of rainfall-induced shallow landslides (also called soil slips). Regional LEWS are typically bas...
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Raju Sarkar and Kelzang Dorji
Landslides have been and are prominent and devastating natural disasters in Bhutan due to its orography and intense monsoonal rainfall. The damage caused by landslides is huge, causing significant loss of lives, damage to infrastructure and loss of agric...
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Rokhmat Hidayat, Samuel Jonson Sutanto, Alidina Hidayah, Banata Ridwan and Arif Mulyana
Landslides are one of the most disastrous natural hazards in Indonesia, in terms of number of fatalities and economic losses. Therefore, Balai Litbang Sabo (BLS) has developed a Landslide Early Warning System (LEWS) for Indonesia, based on a Delft?FEWS (...
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Bayes Ahmed, Md. Shahinoor Rahman, Rahenul Islam, Peter Sammonds, Chao Zhou, Kabir Uddin and Tahmeed M. Al-Hussaini
This article aims to develop a Web-GIS based landslide early warning system (EWS) for the Chittagong Metropolitan Area (CMA), Bangladesh, where, in recent years, rainfall-induced landslides have caused great losses of lives and property. A method for com...
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