Regional-Scale Debris-Flow Susceptibility Modelling. A case study in the Rocky Mountains

This study outlines the datasets and techniques employed to evaluate debris-flow runout susceptibility in the Valemount region, located in east-central British Columbia, Canada. The research spans an area of approximately 1200 km². A comprehensive landslide inventory exists for this region, which maps historical debris-flows by delineating both source zones and valley deposits. The inventory distinguishes between hillslope and channelized debris-flows, enabling separate modelling approaches for these phenomena. The outputs of both models were integrated to classify the region according to its vulnerability to debris-flow runout events. Landslide datasets independent of the training process were used for map validation and optimization. The results demonstrate a strong ability of the models to differentiate between areas likely to form debris-flow fans and regions outside the expected runout paths.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-27
DOI
https://doi.org/10.5281/zenodo.15094827
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00
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article

Regional-Scale Debris-Flow Susceptibility Modelling. A case study in the Rocky Mountains

Zenodo (CERN European Organization for Nuclear Research)
Landslides and related hazards
article

Regional-Scale Debris-Flow Susceptibility Modelling. A case study in the Rocky Mountains

article en

Abstract

This study outlines the datasets and techniques employed to evaluate debris-flow runout susceptibility in the Valemount region, located in east-central British Columbia, Canada. The research spans an area of approximately 1200 km². A comprehensive landslide inventory exists for this region, which maps historical debris-flows by delineating both source zones and valley deposits. The inventory distinguishes between hillslope and channelized debris-flows, enabling separate modelling approaches for these phenomena. The outputs of both models were integrated to classify the region according to its vulnerability to debris-flow runout events. Landslide datasets independent of the training process were used for map validation and optimization. The results demonstrate a strong ability of the models to differentiate between areas likely to form debris-flow fans and regions outside the expected runout paths.

Zenodo (CERN European Organization for Nuclear Research)
Geological Survey of Canada (CA), University of the Basque Country (ES), Research Institute for Geo-Hydrological Protection (IT)
Openalex Percentile: Top 46%
Landslides and related hazards
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Regional-Scale Debris-Flow Susceptibility Modelling. A case study in the Rocky Mountains · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS