Consistent modeling of a catastrophic flowslide at the Shenzhen landfill using a hydro-elasto-plastic model with solid–fluid transition

VargasJr.

Advances in Natural Hazards and Hydrological Risks: Meeting the Challenge

et al. 2020

Landslides are one of the most important natural hazards on Earth. Landslide mechanisms related to hydrology are analyzed with a focus on the major risks, and formal risk assessment methodologies are presented. The management of accidents in slopes is discussed, with particular emphasis on Hong Kong and to Rio de Janeiro. Specific aspects of slope instability in the state of Rio de Janeiro are discussed, with a focus on cases that occurred in the mountainous region of the State. The megadisaster occurred in 2011, with high number of deaths and significant economic losses, is studied with particular incidence in individual landslides. A description of occurrence of large landslides in China is also presented. The modeling of catastrophic flow-type slide at Shenzhen landfill induced by intense rainfall is introduced and referred to large number of landslides happened during the Wenchuan earthquake in 2008 is mentioned.

Section: Landslides In Chinamentioning

confidence: 99%

“…The disaster involved an area with 1100 m in length and 630 m in maximum width. Figure 5 shows results of a numerical study of the accident (Li et al 2018).…”

Section: Landslides In Chinamentioning

confidence: 99%

Hydrological Risks in Natural Hazards Focused on the Role of the Water: Studies on Landslides

VargasJr.

Advances in Natural Hazards and Hydrological Risks: Meeting the Challenge

et al. 2020

“…According to relevant statistics, at least 400 cities, counties, districts, towns, and more than 10,000 villages in China are threatened by various types of geological disasters, encompassing a total area of 1,735,200 square kilometers and accounting for 18.10% of the total land area of China. Examples include the six satiated loess landslides induced by continuous rainfall on August 21, 1981 [6], loess mudflow landslides caused by agricultural irrigation in Hefangtai [7], high-speed loess landslides induced by irrigation in Huaxian County, Shaanxi in 2006 [8], Donghekou landslides induced by the Wenchuan earthquake in 2008 [10], high-speed remote landslides that killed 46 people in Zhenxiong, Yunnan in 2013 [9,11,12], and the runoff landslide in 2015 at the sludge receiving site in Guangming New District, Shenzhen [13][14][15]. With the rapid economic development in recent years and the high population density in China, each occurrence of a geological disaster may result in great loss of life and property to the disaster-affected area.…”

Section: Introductionmentioning

confidence: 99%

5G IoT-based Geohazard Monitoring and Early Warning System and its Application

Liu

Sun

et al. 2021

Preprint

With the expansion of human production activities, geological disasters caused by slope instability are occuring more frequently. Hence, the research on effective monitoring and forecasting of the geotechnical stability of slopes is of great significance for the prevention and mitigation of slope geological disasters. In this study, a landslide monitoring and early warning system based on 5G Internet of Things (IoT) technology is introduced. The system monitors important indicators such as three-dimensional surface displacement, rainfall, and ground cracks using Global Navigation Satellite System (GNSS) equipment and various IoT sensors deployed on site. The key monitoring data are transmitted and displayed by 5G communication and advanced data visualization technologies. An early warning guideline is established by combining the surface deformation rate-time curve according to a four-level early warning method as well as embedded vector maps such as the topographic and geomorphological remote sensing map of the monitoring area, the geological section map, and the monitoring point distribution map. The system has the functions of accurate acquisition, rapid transmission, automatic search, and comprehensive analysis, and is applied to the study of creep slopes of the Lianhe terraces in Youxi County, Fujian Province, with remarkable results.

“…The actual losses caused by landslides are underestimated, as these losses are sometimes attributed to the consequences of their triggers, such as rainstorms and earthquakes [ 5 ]. The magnitude of the losses caused by landslides are more severe than those caused by other natural hazards, and they continue to increase with climate change, population growth, and mountain development [ 6 , 7 , 8 , 9 , 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide

Deng

Yuan

Chen

et al. 2021

Sensors

Acoustic emission (AE) monitoring has become an optional technology to quantify slope deformation. However, there are still challenges in developing generic AE interpretation strategies. Dynamics and kinematics models are two physical methods for analysing slope stability, which appear to improve the interpretability of AE monitoring data. The aim of this study is to explore the change patterns and interrelations of dynamics, kinematics, and AE measurements using a model test and physical analysis, to further understand the development process of a progressive landslide. A model test is designed based on the kinematics model of landslide three-stage deformation. An equation between factor of safety (FoS) and thrust is proposed based on the mechanical model of a landslide test. There is a clear correspondence between the displacement and inverse velocity during the deformation-controlled process. Relationships are uncovered between the thrust and FoS as well as the thrust and acceleration. As a characteristic parameter of AE, ring down count (RDC) is able to quantify the deformation process of the soil slope. Moreover, acceleration and RDC can reflect the sudden change of the slope state and, hence, can be effective indicators for the early warning in a progressive landslide.