Software for simulations of sediment-laden Earth surface flows
Using python script and AutoHotKey (AHK) to automate DAN3D simulation automatically
Estimate incremental volume changes (erosion and deposition) along the path of a debris flow.
This study investigates debris-flow activity in the recently highly active Mühlsturzgräben catchments (Klausbachtal, Berchtesgaden National Park) by combining historical and newly acquired terrestrial laser scanning (TLS) datasets. The multi-temporal dataset provides insights into nearly a decade of geomorphic change at varying temporal resolutions
Official code for the paper "Inverse computational morphology of debris and alluvial fans" published in Computers & Geosciences.
This project implements the DOME (Dynamic Optimization Meta-Ensemble) framework for computational debris flow risk prediction.
Geospatial datasets and simulation models for the 2015 Salgar, Antioquia debris flood case study.
Automated geospatial pipeline ranking burned watersheds by post-fire debris-flow susceptibility from free public data — D8 flow accumulation + canyon-mouth basin delineation on 10 m USGS 3DEP DEMs, scored by burn severity × slope × contributing area. Validated at rank-AUC 0.987 (2017 Thomas Fire → 2018 Montecito). A within-fire relative ranking.
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