Improving debris flow evacuation alerts in Taiwan using machine learning. (arXiv:2208.13027v1 [cs.LG])

Taiwan has the highest susceptibility to and fatalities from debris flows
worldwide. The existing debris flow warning system in Taiwan, which uses a
time-weighted measure of rainfall, leads to alerts when the measure exceeds a
predefined threshold. However, this system generates many false alarms and
misses a substantial fraction of the actual debris flows. Towards improving
this system, we implemented five machine learning models that input historical
rainfall data and predict whether a debris flow will occur within a selected …

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