Temporal changes in rainfall intensity-duration thresholds for post-wildfire flash floods in southern California
Affiliation
Department of Geosciences, University of ArizonaDepartment of Hydrology and Atmospheric Sciences, University of Arizona
Issue Date
2022
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Copernicus GmbHCitation
Liu, T., McGuire, L. A., Oakley, N., & Cannon, F. (2022). Temporal changes in rainfall intensity-duration thresholds for post-wildfire flash floods in southern California. Natural Hazards and Earth System Sciences.Rights
Copyright © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Rainfall intensity-duration (ID) thresholds are commonly used to assess flash flood potential downstream of burned watersheds. High-intensity and/or long-duration rainfall is required to generate flash floods as landscapes recover from fire, but there is little guidance on how thresholds change as a function of time since fire. Here, we force a hydrological model with radar-derived precipitation to estimate ID thresholds for post-fire flash floods in a 41.5ĝkm2 watershed in southern California, USA. Prior work in this study area constrains temporal changes in hydrological model parameters, allowing us to estimate temporal changes in ID thresholds. The results indicate that ID thresholds increase by more than a factor of 2 from post-fire year 1 to post-fire year 5. Thresholds based on averaging rainfall intensity over durations of 15-60ĝmin perform better than those that average rainfall intensity over shorter time intervals. Moreover, thresholds based on the 75th percentile of radar-derived rainfall intensity over the watershed perform better than thresholds based on the 25th or 50th percentile of rainfall intensity. Results demonstrate how hydrological models can be used to estimate changes in ID thresholds following disturbance and provide guidance on the rainfall metrics that are best suited for predicting post-fire flash floods. © Copyright:Note
Open access journalISSN
1561-8633Version
Final published versionae974a485f413a2113503eed53cd6c53
10.5194/nhess-22-361-2022
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Except where otherwise noted, this item's license is described as Copyright © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.