Developing and Testing Physically Based Triggering Thresholds for Runoff‐Generated Debris Flows
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Tang_et_al-2019-Geophysical_Re ...
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AMER GEOPHYSICAL UNIONCitation
Tang, H., McGuire, L. A., Rengers, F. K., Kean, J. W., Staley, D. M., & Smith, J. B. ( 2019). Developing and testing physically based triggering thresholds for runoff‐generated debris flows. Geophysical Research Letters, 46, 8830– 8839. https://doi.org/10.1029/2019GL083623Journal
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© 2019. The Authors. This is an open access article under the terms of the Creative Commons Attribution 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
Runoff in steep channels is capable of transitioning into debris flows with hazardous implications for downstream communities and infrastructure, particularly in alpine landscapes with minimal vegetation and areas recently disturbed by wildfire. Here, we derive thresholds for the initiation of runoff-generated debris flows based on critical values of dimensionless discharge and Shields stress. These thresholds are derived by using a numerical model to estimate the hydrodynamic conditions coinciding with the timing of debris flow activity in a recently burned basin. A benefit of hydrodynamic thresholds is that they can be used to assess debris flow likelihood based on measurable hydrologic and geomorphic parameters and therefore provide more universal criteria for quantifying the runoff-to-debris flow transition in landscape evolution studies and hazard assessments. We then demonstrate how hydrodynamic thresholds can be used to estimate rainfall intensity-duration thresholds for runoff-generated debris flows without the need for historic debris flow observations.Note
Open access articleISSN
0094-8276Version
Final published versionSponsors
U.S. Geological Survey (USGS) Landslide Hazards ProgramUnited States Geological Surveyae974a485f413a2113503eed53cd6c53
10.1029/2019gl083623
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Except where otherwise noted, this item's license is described as © 2019. The Authors. This is an open access article under the terms of the Creative Commons Attribution License.