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Supplementary material to The Value of Using Multiple Hydro-meteorological Variables to Predict Temporal Debris Flow Susceptibility in an Alpine Environment


Authors: David Prenner
Owners: David Prenner
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

Abstract

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

Subject Keywords

Debris flows,Short duration storm,Intense snow melt,Naive Bayes Classifier,Trigger,Long lasting rainfall,Hydrological modeling

How to cite

Prenner, D. (2018). Supplementary material to The Value of Using Multiple Hydro-meteorological Variables to Predict Temporal Debris Flow Susceptibility in an Alpine Environment, HydroShare, http://www.hydroshare.org/resource/30e5dec16c5648ee987c6d2bdd26435b

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Sharing status:

  • Public Resource  Public
  • Sharable Resource  Shareable

Content

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Authors

The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone Author Identifiers
David Prenner Institute of Mountain Risk Engineering;University of Natural Resources and Life Sciences Vienna

Credits

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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