Issue |
E3S Web of Conf.
Volume 415, 2023
8th International Conference on Debris Flow Hazard Mitigation (DFHM8)
|
|
---|---|---|
Article Number | 05029 | |
Number of page(s) | 4 | |
Section | Case Studies and Hazard Assessments | |
DOI | https://doi.org/10.1051/e3sconf/202341505029 | |
Published online | 18 August 2023 |
Advancing debris flow hazard and risk assessments using debris flow modeling and radar derived rainfall intensity data
1 Stantec, Geohazards and Geomorphology, Fort Collins CO, USA
2 Stantec, Geohazards and Geomorphology, Calgary AB, Canada
3 Stantec, Geohazards and Geomorphology, Burnaby BC, Canada
4 Stantec, Geohazards and Geomorphology, Sacramento, CA, USA
* Corresponding author: Thad.Waskelwicz@stantec.com
Debris flow hazard and risk assessments are critical tools in mitigating and planning for these events. Existing debris flow hazard assessments can provide a rapid view of the likelihood of debris flows in recently burned watersheds and along stream segments within the watershed. Furthermore, debris flow volumes can be predicted for these watersheds and along the stream segments. Advances in modeling and remote-sensing data can add further value to the rapid assessments. Here, modeled debris flow volumes and a more detailed understanding of rainfall conditions highlight a need to reconcile debris flow probabilities and volumes using local conditions. Modeled debris flow volumes are consistently lower than even the lowest predicted volumes from empirical models used in the debris flow hazard assessments. Watershed probability and volume relations also over predict based on our probabilities derived from rainfall intensity from Multi-Radar/Multi-Sensor System 1-hr data. Probability and volume measures need to be further considered as the conservative measures of the rapid assessments have implication for risk analyses required for planning and management decisions, and ultimately for design and cost of mitigation to manage risk.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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