Failure mechanism of a high-locality colluvial landslide in Wanzhou County, Chongqing, China

Huang, Ling; Zhou, Tian; Zhuang, Shengming; Peng, Taixin; Wang, Junchao; Li, Yong

doi:10.1007/s10064-022-02758-0

Cited by 4 publications

(1 citation statement)

References 35 publications

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“…Landslide characterisation is described through various means, e.g. landslide mechanisms and occurrence force (Leroueil 2001;Take et al 2004;Huang et al 2022), failure mode analysis/simulation (Liu et al 2015;Sidle and Bogaard 2016;Han et al 2019a), sensitivity/reliability analysis (Rathod and Rao 2012;Nguyen and Likitlersuang 2019;Huang et al 2020), and the design of effective countermeasure and their field optimisation (Popescu and Sasahara 2009;Han et al 2019b;Chen et al 2021). In addition to the physical science investigation, socio-economic analysis of the landslide issues helps to infer the vulnerability of the people living on dangerous slopes and effectively promotes the disaster risk governance (Antronico et al 2020;Vij et al 2020;Alam and Ray-Bennett 2021;Huang et al 2021).…”

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confidence: 99%

Assessing the effectiveness of landslide slope stability by analysing structural mitigation measures and community risk perception

et al. 2023

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Rainfall-induced landslides seriously threaten hilly environments, leading local authorities to implement various mitigation measures to decrease disaster risk. However, there is a significant gap in the current literature regarding evaluating their effectiveness and the associated community risk perception. To address this gap, we used an interdisciplinary and innovative approach to analyse the slope stability of landslides, evaluate the effectiveness of existing structural mitigation measures, and assess the risk perception of those living in danger zones. Our case study focused on the Kutupalong Rohingya Camp (KRC) in Cox’s Bazar, Bangladesh, which is home to over one million Rohingya refugees from Myanmar. Although various structural and non-structural countermeasures were implemented in the KRC to mitigate the impact of landslides, many of them failed to prevent landslides from occurring. We utilised a variety of methods from the physical sciences, including the infinite slope, limit equilibrium (LEM), and finite element (FEM) approaches, to calculate the factor of safety (FoS) for specific slopes. Additionally, in the social sciences domain, we conducted a questionnaire survey of approximately 400 Rohingya participants to assess the community’s perception of the interventions and the degree of disaster risk. Our findings indicated that slopes with a gradient greater than 40° were unstable (FoS < 1), which was present throughout the entire KRC area. The effectiveness of the LEM and FEM methods was evaluated for four dominant slope angles (40°, 45°, 50°, and 55°) under varying loads (0, 50, and 100 kN/m2). The slopes were found to be stable for lower slope angles but unstable for higher slope angles (> 50°) and increased overburden loads (50–100 kN/m2). Different mitigation measures were tested on the identified unstable slopes to assess their effectiveness, but the results showed that the countermeasures only provided marginal protection against landslides. Survey results revealed that at least 70% of respondents believed that concrete retaining walls are more effective in reducing landslide occurrence compared to other measures. Additionally, about 60% of the respondents questioned the reliability of the existing structural mitigation measures. The study also found that the cohesion and friction angle of lower sandstone and the cohesion of upper soil layers are important factors to consider when designing and implementing slope protection countermeasures in the KRC area.

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