This study proposes an original approach for predicting shallow translational slide hazards,
which are triggered by irregular rainfall events, via the method of zonation at a regional …

The application of physically-based approaches for slope failure analysis at a catchment
scale remains a difficult challenge, and several new models have been proposed in recent …

This study proposes a probabilistic analysis method for modeling rainfall-induced shallow
landslide susceptibility by combining a transient infiltration flow model and Monte Carlo …

Every year, many countries carry out landslide susceptibility analyses to establish and
manage countermeasures and reduce the damage caused by landslides. Because …

The topographical characteristics of South Korea are coupled with heavy rain and typhoons
concentrated from July to September, which take up two-thirds of the country's annual …

Landslides are major natural geological hazards that cause enormous property damage and
human casualties annually. The vulnerability of mountainous areas to landslides is further …

This study aims to empirically and statistically predict soil depths across areas affected by
landslides. Using soil depth measurements from a landslide area in Korea, two sets of soil …

National parks, which are located mainly in mountainous areas, are always at risk of
damage by landslides. The goal of this study is to establish a method for systematically …

In the machine learning techniques, the sampling strategy of the training data affects a
performance of the prediction model such as generalizing ability as well as prediction …

Approximately 64 percent of Korean territory is covered with mountains, and there is
occurred a continuous mountain disaster such as landslide, debris flow and slope failure …