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Megan P Greenwood

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Preprint Aug 2026

Evaluating Machine Learning Models for Post-Wildfire Debris-Flow Prediction

Prediction of post-wildfire debris flows is critical for mitigating hazards to communities, infrastructure, and resources during intense rainfall in recently burned areas. However, identifying reliable machine learning models is complicated by overlapping debris-flow and non-debris-flow events in feature space, the nee...

Quinn Ledingham, Zheng-Sen Xu, Yi-Min Zhu et al. · 0 citations

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