Deriving discharge thresholds for runoff-generated debris flow initiation using process-based modelling and machine learning methods

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    W[2019AGUFMNH21C0977T]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (6)"]
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ADS bibcode
2019AGUFMNH21C0977T
year
2019
Listed Authors
Tang, H.
McGuire, L.
Rengers, F. K.
Kean, J. W.
Staley, D. M.
Bernard, M.
Gregoretti, C.
Smith, J.
Listed Institutions
Section 4.7 Earth Surface Process Modelling, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany
University of Arizona, Tucson, AZ, United States
University of Colorado, Boulder, CO, United States
Geologic Hazards Science Center, USGS, Golden, CO, United States
USGS, Baltimore, MD, United States
Department of Land, Environment, Agriculture, and Forestry, University of Padova, Padova, Italy
Department of Land, Environment, Agriculture, and Forestry, University of Padova, Padova, Italy
U.S. Geological Survey, Denver, CO, United States

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