GIS deterministic model-based 3D large-scale artificial slope stability analysis along a highway using a new slope unit division method

2014 ◽  
Vol 76 (2) ◽  
pp. 873-890 ◽  
Author(s):  
Ning Jia ◽  
Yasuhiro Mitani ◽  
Mowen Xie ◽  
Jianxing Tong ◽  
Zhaohui Yang
2011 ◽  
Vol 84-85 ◽  
pp. 729-732 ◽  
Author(s):  
Jun Guo ◽  
De Qing Gan ◽  
Yu Zhang ◽  
Wei Hang Zhang

The paper analyzed major factors that influence the stability of open-pit slope and established the GM (1, N) model based on the program of Xingshan strip mine, which provided an effective method for evaluating the slope stability.


2021 ◽  
Author(s):  
Chatuphorn Somphong ◽  
Anawat Suppasri ◽  
Kwanchai Pakoksung ◽  
Tsuyoshi Nagasawa ◽  
Yuya Narita ◽  
...  

Abstract. Studies have indicated that submarine landslides played an important role in the 2018 Sulawesi tsunami event, damaging the coast of Palu Bay in addition to the earthquake source. Most of these studies relied on visible landslides to reproduce tsunamis but could still not fully explain the observational data. Recently, several numerical models included hypothesized submarine landslides that were taken into account to obtain a better explanation of the event. In this study, for the first time, submarine landslides were simulated by applying a numerical model based on Hovland’s 3D slope stability analysis for cohesion-frictional soils. To specify landslide volume and location, the model assumed an elliptical slip surface on a vertical slope of 27 m of mesh-divided terrain and evaluated the minimum safety factor in each mesh area based on the surveyed soil property data extracted from the literature. The landslide output was then substituted into a two-layer numerical model based on a shallow-water equation to simulate tsunami propagation. The results were combined with the other tsunami sources, i.e., earthquakes and observed coastal collapses, and validated with various postevent field observational data, including tsunami runup heights and flow depths around the bay, the inundation area around Palu city, waveforms recorded by the Pantoloan tide gauge, and video-inferred waveforms. The model generated several submarine landslides, with lengths of 0.2–2.0 km throughout Palu Bay. The results confirmed the existence of submarine landslide sources in the southern part of the bay and showed agreement with the observed tsunami data, including runups and flow depths. Furthermore, the simulated landslides also reproduced the video-inferred waveforms in 3 out of 6 locations. Although these calculated submarine landslides still cannot fully explain some of the observed tsunami data, they emphasize the possible submarine landslide locations in southern Palu Bay that should be studied and surveyed in the future.


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