A Case Study of Slope Failure Induced by Rainfall During Super-Typhoon

Geological slope failure processes have been observed on the Moon surface for decades, nevertheless a detailed and exhaustive lunar landslide inventory has not been produced yet. For a preliminary survey, WAC images and DEM maps from LROC at 100 m/pixels have been exploited in combination with the criteria applied by Brunetti et al. (2015) to detect the landslides. These criteria are based on the visual analysis of optical images to recognize mass wasting features. In the literature, Chebyshev polynomials have been applied to interpolate crater cross-sections in order to obtain a parametric characterization useful for classification into different morphological shapes. Here a new implementation of Chebyshev polynomial approximation is proposed, taking into account some statistical testing of the results obtained during Least-squares estimation. The presence of landslides in lunar craters is then investigated by analyzing the absolute values off odd coefficients of estimated Chebyshev polynomials. A case study on the Cassini A crater has demonstrated the key-points of the proposed methodology and outlined the required future development to carry out.

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ROCK SLOPE SURFACE STABILITY ANALYSIS: A CASE STUDY ON HON LON ISLAND, KIEN HAI DISTRICT, KIEN GIANG PROVINCE, VIETNAM

Journal of Southwest Jiaotong University ◽

10.35741/issn.0258-2724.56.5.29 ◽

2021 ◽

Vol 56 (5) ◽

pp. 340-350

Author(s):

Ngoc Binh Vu ◽

Truong Thanh Phi ◽

Thanh Cong Nguyen ◽

Hong Thinh Phi ◽

Quy Nhan Pham ◽

...

Keyword(s):

Slope Failure ◽

Rock Slope ◽

Slope Surface ◽

Plane Failure ◽

Surface Stability ◽

Average Percentage ◽

The Road ◽

Wedge Failure ◽

Analytical Results

The research aimed to study 24 rock slope surfaces along the road around Hon Lon Island, Kien Hai district, Kien Giang province, Vietnam. The analytical results have determined slope failure, wedge failure, and toppling, which occurred on almost slope surface and the average percentage of plane failure is the largest. The average percent of plane failure is 19.23%, the wedge failure is 15.35%, and the toppling fault is 6.73%. Besides, the analytical results have also identified the slope surfaces which can be the key blocks: ND-13, 18, 23, 25, 34, 37, 45, 51, 62, 63. The other analytical results show that the existence of key blocks at the rock slope surfaces in the N-S direction, dip to E at the survey locations: ND-13, 23, 63 and dip to W at the survey locations: ND-37, 45; in the NE-SW direction, dip to SE at the survey locations: ND-15, 62 and dip to NW at the survey locations: ND-18, 34; in the NW-SE direction, dip to SW at the survey location ND-51. These results have important significance to support for protecting slope surface safety.

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Slope failure mechanism affected by mining subsidence: a case study of highway slopes in Yangquan, Shanxi Province, China

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/570/2/022067 ◽

2020 ◽

Vol 570 ◽

pp. 022067

Author(s):

Zhang Chao ◽

Li Tiefeng ◽

Han Xudong

Keyword(s):

Failure Mechanism ◽

Slope Failure ◽

Mining Subsidence ◽

Shanxi Province

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Assessing the annual risk of vehicles being hit by a rainfall-induced landslide: a case study on Kennedy Road in Wan Chai, Hong Kong

Natural Hazards and Earth System Science ◽

10.5194/nhess-20-1833-2020 ◽

2020 ◽

Vol 20 (6) ◽

pp. 1833-1846 ◽

Cited By ~ 1

Author(s):

Meng Lu ◽

Jie Zhang ◽

Lulu Zhang ◽

Limin Zhang

Keyword(s):

Hong Kong ◽

Failure Probability ◽

Slope Failure ◽

Failure Time ◽

Suggested Method ◽

Risk Level ◽

Annual Number ◽

Failure Data ◽

Moving Vehicles

Abstract. Landslides threaten the safety of vehicles on highways. When analyzing the risk of a landslide hitting moving vehicles, the spacing between vehicles and the types of vehicles on the highway can be highly uncertain and have often been omitted in previous studies. Using a highway slope in Hong Kong as a case study, this paper presents a method for assessing the risk of moving vehicles being hit by a rainfall-induced landslide; this method also allows for the possible number of different types of vehicles hit by the landslide to be investigated. In this case study, the annual failure probability of the slope is analyzed based on historical slope failure data from Hong Kong. The spatial impact of the landslide is evaluated based on an empirical run-out prediction model. The consequences of the landslide are assessed using probabilistic modeling of the traffic, which can consider uncertainties in the vehicle spacing, vehicle types and slope failure time. Using the suggested method, the expected annual number of vehicles and people hit by the landslide can be conveniently calculated. This method can also be used to derive the cumulative frequency–number of fatalities curve for societal risk assessment. Using the suggested method, the effect of factors like the annual failure probability of the slope and the density of vehicles on the risk level of the slope can be conveniently assessed. The method described in this paper can provide a new guideline for highway slope design in terms of managing the risk of landslides hitting moving vehicles.

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Slope failure susceptibility zonation using integrated remote sensing and GIS techniques: A case study over Jhingurdah open pit coal mine, Singrauli coalfield, India

Journal of Earth System Science ◽

10.1007/s12040-018-0982-8 ◽

2018 ◽

Vol 127 (6) ◽

Cited By ~ 5

Author(s):

S Sengupta ◽

A P Krishna ◽

I Roy

Keyword(s):

Remote Sensing ◽

Coal Mine ◽

Slope Failure ◽

Remote Sensing And Gis ◽

Open Pit ◽

Gis Techniques

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Innovative Monitoring Tools and Early Warning Systems for Risk Management: A Case Study

Geosciences ◽

10.3390/geosciences9020062 ◽

2019 ◽

Vol 9 (2) ◽

pp. 62 ◽

Cited By ~ 2

Author(s):

Andrea Segalini ◽

Andrea Carri ◽

Alessandro Valletta ◽

Maurizio Martino

Keyword(s):

Monitoring System ◽

Early Warning ◽

Slope Failure ◽

Central Italy ◽

Early Warning Systems ◽

Critical Event ◽

Warning Systems ◽

Automatic Data ◽

Area Of Interest

During recent years, the availability of innovative monitoring instrumentation has been a fundamental component in the development of efficient and reliable early warning systems (EWS). In fact, the potential to achieve high sampling frequencies, together with automatic data transmission and elaboration are key features for a near-real time approach. This paper presents a case study located in Central Italy, where the realization of an important state route required a series of preliminary surveys. The monitoring system installed on site included manual inclinometers, automatic modular underground monitoring system (MUMS) inclinometers, piezometers, and geognostic surveys. In particular, data recorded by innovative instrumentation allowed for the detection of major slope displacements that ultimately led to the landslide collapse. The implementation of advanced tools, featuring remote and automatic procedures for data sampling and elaboration, played a key role in the critical event identification and prediction. In fact, thanks to displacement data recorded by the MUMS inclinometer, it was possible to forecast the slope failure that was later confirmed during the following site inspection. Additionally, a numerical analysis was performed to better understand the mechanical behavior of the slope, back-analyze the monitored event, and to assess the stability conditions of the area of interest.

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Uprooting of tree induced by typhoon: a case study of super typhoon Mangkhut in university town of Shenzhen

E3S Web of Conferences ◽

10.1051/e3sconf/20199212012 ◽

2019 ◽

Vol 92 ◽

pp. 12012 ◽

Cited By ~ 1

Author(s):

Junwen Huang ◽

Yan Su ◽

Guanyu Zhu ◽

Rui Chen ◽

Xiaofeng Wu

Keyword(s):

Small Volume ◽

Degree Of Saturation ◽

Dry Density ◽

Root Depth ◽

Super Typhoon ◽

The Poor ◽

University Town ◽

Tree Uprooting ◽

Main Factor

Super typhoon Mangkhut resulted a large number of fallen tree in form of uprooting in university town of Shenzhen (UTSZ), which hadn't happened for years. This study conducted a survey about tree uprooting induced by super typhoon Mangkhut in UTSZ, aiming to reveal main reasons for tree uprooting in UTSZ. Species of fallen trees were recognized. Fallen direction and height of fallen tree were measured. Also depth and diameter of root-soil plate and dry density of soil beneath root-soil plate were measured. The results showed that many fallen trees with uprooting in UTSZ had relatively small volume of root-soil plate which was not able to offer sufficient anchorage to tree during typhoon. One of solutions to avoid this phenomenon is not to select tree species with shallow root depth. Ponding was found in many places where uprooting occurred in UTSZ. Increase of degree of saturation of soil induced by ponding can significantly decrease soil strength which is a major component of anchorage of tree. Thus we recommend to modify the poor drainage condition of soil in UTSZ. Degree of compaction of soil may not be a main factor related to tree uprooting in UTSZ.

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