Emergency assessments of postfire debris-flow hazards that are performed by the U.S. Geological Survey (USGS) provide estimates of debris-flow likelihood and rainfall triggering conditions that are used for evaluating and managing runoff-generated debris-flow hazards in recently burned areas throughout the western United States. Although the immediate postfire period, within roughly one year after fire, is typically the most susceptible to runoff-generated debris flows, the hazard evolves in time and space as the burned area recovers. The recovery trajectory a given burned area will take depends on local climate and weather and can be difficult to predict. Some burned areas recover quickly, whereas others experience debris flows for multiple years after fire. As a result, extending our ability to update debris-flow likelihood estimates and rainfall thresholds based on observed recovery of the burned area would be beneficial. We present a method for multi-year runoff-generated debris-flow hazard assessment that leverages the USGS “M1” debris-flow likelihood model and integrates updated, satellite-derived, normalized burn ratio data to estimate vegetation recovery. We predict recovery-aware rainfall thresholds and validate them against a multi-year inventory of debris-flow observations from 12 fires in the western United States. We find that recovery-aware rainfall thresholds perform better than more risk-averse, recovery-unaware thresholds developed just after fire when susceptibility is highest. In addition, recovery-aware thresholds show the potential to reduce warning fatigue by reducing false positives. The methodology we present here advances multi-year debris-flow hazard prediction and could be adapted for use with other debris-flow models that incorporate burn severity data.
Graber et al. (Thu,) studied this question.