Supplementary material to The Value of Using Multiple Hydro-meteorological Variables to Predict Temporal Debris Flow Susceptibility in an Alpine Environment
|Resource type:||Composite Resource|
|Created:||Jun 25, 2018 at 7:37 p.m.|
|Last updated:||Oct 01, 2018 at 12:55 p.m. by David Prenner|
This resource contains a Matlab-script as supplementary material to the paper "The Value of Using Multiple Hydro-meteorological Variables to Predict Temporal Debris Flow Susceptibility in an Alpine Environment" published in Water Resources Research. The script demonstrates the identification of the trigger type of debris flows events, which is either long-lasting rainfall, short duration storm or intense snow melt, by analyzing the catchment state based on multiple hydro-meteorological variables. In the second part of the script, these trigger-type separated catchment state information at debris flow occurrence are used in a Naïve Bayes Classifier model to examine the temporal susceptibility of the catchment to debris flows on a daily basis. Please find more details about the methodology and the results under https://doi.org/10.1029/2018WR022985
Debris flows,Short duration storm,Intense snow melt,Naive Bayes Classifier,Trigger,Long lasting rainfall,Hydrological modeling
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
|David Prenner||Institute of Mountain Risk Engineering;University of Natural Resources and Life Sciences Vienna|
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This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|Austrian Climate and Energy Fund||B464795|
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