Regional-scale landslide risk assessment on Mt. Umyeon using risk index estimation

Landslides ◽  
2021 ◽  
Author(s):  
Ba-Quang-Vinh Nguyen ◽  
Yun-Tae Kim
2020 ◽  
Author(s):  
Ba-Quang-Vinh Nguyen ◽  
Seung-Rae Lee ◽  
Yun-Tae Kim

<p>This study developed a novel landslide risk assessment framework to analyze landslide risk in Mt. Umyeon, Korea. The proposed framework included four main procedures: (1) Landslide hazard analysis using an ensemble statistical and physical model, (2) Analysis of physical vulnerability from vulnerability curve, (3) Analysis of physical vulnerability from semi-quantitative approach, (4) Risk index calculation from the results of previous steps using a proposed equation. The results of each step were compared to real landslide events occurred in July 2011 at Mt. Umyeon, Korea to confirm the reliability of the proposed risk assessment framework. The risk maps also were compared to real landslide event and showed that the proposed framework was successful in assessment of landslide risk at Mt. Umyeon, Korea. The new concept in landslide risk assessment of this study provides reliable decision-making in landslide risk assessment and management.</p>


2009 ◽  
Vol 85 (1) ◽  
pp. 25-31 ◽  
Author(s):  
R H Guthrie

Landslides are unavoidably linked to forestry operations in coastal BC. A neglected component of landslide risk assessment is the degree to which impacts from landslides may be acceptable. One hundred and thirteen professionals in the BC forest industry, including foresters, biologists, geoscientists and engineers, examined landslide tolerability criteria. Despite differences by sector, there was general agreement that landslides resultant of ignoring expert advice or where an expert was clearly at fault were unacceptable, and penalties were high. In more ambiguous cases, increased consequences resulted in increased scrutiny and it was clear that experts should expect to be held responsible for their decisions by government officiators and the public. Key words: landslide, risk, risk perception, acceptable risk, landslides and forestry


2013 ◽  
pp. 483-489 ◽  
Author(s):  
Daniele Spizzichino ◽  
Claudio Margottini ◽  
Silvia Castellaro ◽  
Francesco Mulargia

2018 ◽  
Vol 251 ◽  
pp. 06011
Author(s):  
Gervais Shirambere ◽  
Maurice O. Nyadawa ◽  
Jean pierre Masekanya ◽  
Timothy Nyomboi

A spatial probabilistic landslide risk assessment and mapping model has been applied in a data scare region. The probabilistic model is based on a physical model based on Mohr coulomb failure criterion. A Monte Carlo simulation technique is applied to field collected data. The results are integrated and a probability of landslide is obtained at each cell level. The results are compared to a prepared landslide inventory. The overall accuracy of the model is 79.69%.


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