Korea Advanced Institute of Science and Technology · Environmental Science
Professor Seung-Rae Lee's research lab specializes in geoenvironmental engineering with a focus on landslide risk assessment, soil freezing processes, and shallow slope failure mechanisms. The lab employs advanced computational methods such as artificial neural networks and hydro-mechanical modeling to analyze landslide susceptibility and infiltration dynamics in response to rainfall. Research also emphasizes the role of unsaturated soil behavior, including unfrozen water content and soil-water characteristic curves during freezing, to improve predictive modeling in cold regions. The lab integrates field monitoring with numerical simulations to enhance disaster mitigation strategies.
Figures are computed from collected data and may differ slightly.
Landslide susceptibility mapping is well recognized as an essential element in supporting decision-making activities for preventing and mitigating landslide hazards as it provides information regarding locations where landslides are most likely to occur. The main purpose of this study is to produce a landslide susceptibility map of Mt. Umyeon in Korea using an artificial neural network (ANN) involving the factor selection method and various non-linear activation functions. A total of 151 histori
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