Deb2D

Deb2D is 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 GUI developed with QtCreator for setting up and visualizing 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.

[This program is undergoing a major update. If you need specific files, please request them individually.]