Development of an advanced numerical simulation program considering debris flow and driftwood behavior

Abstract

This study introduces Deb2D, an advanced predictive model that combines Eulerian flow dynamics with Lagrangian driftwood movement to accurately simulate debris flows. It enhances the existing Deb2D framework (An et al., 2019) by integrating a driftwood dynamics module rewritten in C++ (Kang et al., 2020) and a user-friendly Graphical User Interface developed with QtCreator for setup and visualization of simulations. This improvement enables precise two-way interactions between driftwood and debris flows, ensuring detailed visualization of their dynamics. When applied to the 2011 Mt. Umyeon debris flow in South Korea, the model demonstrated high accuracy in replicating observed phenomena. Future developments will focus on adapting this model into a QGIS plugin to broaden its applicability and user base.