Assessment of seismic slope stability of Rangamati Hill Tracts, Bangladesh

被引:0
作者
Saif Ahmed Santo
A S M Fahad Hossain
Akhi Sultana Fariha
Md. Ehsanul Haque
Mehedi Ahmed Ansary
机构
[1] Ahsanullah University of Science and Technology,
[2] Bangladesh University of Engineering and Technology,undefined
来源
Discover Geoscience | / 2卷 / 1期
关键词
Earthquake-induced; Rainfall-induced; Pseudostatic analysis; Slope stability; Rangamati;
D O I
10.1007/s44288-024-00002-8
中图分类号
学科分类号
摘要
Slope stability is an essential aspect of geotechnical engineering. Unstable slopes or stable slopes influenced by external factors may result in a catastrophic disaster called a landslide. In seismically active areas with steep terrain, landslides commonly occur and are regarded as one of the most severe threats. Bangladesh has not suffered any destructive earthquakes in recent years but has a considerable risk of facing such earthquakes owing to its geological conditions. Although slope failures occurring in the Rangamati Hill Tracts of Bangladesh are mainly rainfall-induced, due to the seismic risk in Bangladesh, it is essential to assess earthquake-induced slope failure in vulnerable areas. In this study, the authors analyzed the seismic slope stability at three locations in the Rangamati Hill Tracts using pseudostatic approaches. The pseudostatic approach with the variation in seismic force based on the seismic coefficient was utilized to determine the critical conditions. Using Newmark’s rigid block method, the permanent displacements for various slope conditions were calculated for the Kobe earthquake. The analysis provided crucial insight into the state of the locations. One location has a low factor of safety (FS) value at a slope angle of 30° or greater, whereas the others have a risk of slope failure at a slope angle of 50° or greater. Newmark’s displacement analysis also showed that the slopes at location 3 have the highest displacement at a lower slope angle, with location 1 and location 2 showing relatively better results than location 3. Structural and bioengineered preventive measures are needed in this area to reduce the vulnerability of possible slope failure.
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[1]  
Chen CW(2017)Evaluating the susceptibility of landslide landforms in Japan using slope stability analysis: a case study of the 2016 Kumamoto earthquake Landslides 14 1793-1801
[2]  
Chen H(2023)Failure process and stability analysis of landslides in Southwest China while considering rainfall and supporting conditions Front Environ Sci 10 1084151-328
[3]  
Wei LW(2023)Insight from a physical-based model for the triggering mechanism of loess landslides induced by the 2013 Tianshui Heavy Rainfall Event Water 15 443-1376
[4]  
Lin GW(2010)Global earthquake casualties due to secondary effects: a quantitative analysis for improving rapid loss analyses Nat Hazards 52 319-421
[5]  
Iida T(2020)A global dataset and model of earthquake-induced landslide fatalities Landslides 17 1363-346
[6]  
Yamada R(1984)Landslides caused by earthquakes Geol Soc Am Bull 95 406-542
[7]  
Gao Y(2021)Accurate prediction of earthquake-induced landslides based on deep learning considering landslide source area Remote Sens Basel 18 325-805
[8]  
Ma S(1999)Earthquake-induced landslides: 1980–1997 Soil Dyn Earthq Eng 61 535-2015
[9]  
Shao X(1971)The Peru earthquake of May 31, 1970: some preliminary seismological results Bull Seismol Soc Am 6 793-249
[10]  
Xu C(2015)Damage and geological assessment of the Sept. 18 2011 Mw 6.9 earthquake in Sikkim, India using very high resolution satellite data Geosci Front 78 1997-90