Predicting debris flow pathways using volume-based thresholds for effective risk assessment

Investigating the preferential flow path of a debris flow is crucial for quantifying the risk and developing mitigation strategies. Here, we examined 66 debris flows from the Western Ghats in India employing Rapid Mass Movement Simulation (RAMMS)::Debris Flow software to understand the kinematics of run-out. Our analysis revealed that the debris flow run-out in the study area follow two main routes: 60 along the existing stream channels (SC) and six following the steepest hill slope (SH). We further simulated these debris flows to identify their drivers, and derived a threshold that distinguishes between SC and SH-type debris flows. Our results indicate that the debris flow volumes greater than 7072 cu. m is SH-type, whereas those with smaller volumes are more likely to follow SC paths. The model’s accuracy was validated against field observations, achieving a success rate of 93% for SH-type flows and 85% for SC.

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Publication Details

Journal
npj natural hazards.
Published
2025-01-10
DOI
https://doi.org/10.1038/s44304-024-00055-2
Citations
11
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
26.64

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article

Predicting debris flow pathways using volume-based thresholds for effective risk assessment

Vanessa Banks, Thomas Oommen, C.J. van Westen, A.P. Pradeepkumar et al.
11 citations
npj natural hazards.
Landslides and related hazards
26.64
article

Predicting debris flow pathways using volume-based thresholds for effective risk assessment

Vanessa Banks, Thomas Oommen, C.J. van Westen, A.P. Pradeepkumar, A. Rajaneesh, Nikhil Nedumpallile Vasu, Ali P. Yunus, V. K. Krishnapriya, K. S. Sajinkumar
article en
11 citations

Abstract

Investigating the preferential flow path of a debris flow is crucial for quantifying the risk and developing mitigation strategies. Here, we examined 66 debris flows from the Western Ghats in India employing Rapid Mass Movement Simulation (RAMMS)::Debris Flow software to understand the kinematics of run-out. Our analysis revealed that the debris flow run-out in the study area follow two main routes: 60 along the existing stream channels (SC) and six following the steepest hill slope (SH). We further simulated these debris flows to identify their drivers, and derived a threshold that distinguishes between SC and SH-type debris flows. Our results indicate that the debris flow volumes greater than 7072 cu. m is SH-type, whereas those with smaller volumes are more likely to follow SC paths. The model’s accuracy was validated against field observations, achieving a success rate of 93% for SH-type flows and 85% for SC.

npj natural hazards.Vol. 2(1)
British Geological Survey (GB), University of Kerala (IN), Indian Institute of Science Education and Research Mohali (IN), University of Mississippi (US), University of Twente (NL)
American Society for Cell Biology, Indian Space Research Organisation, Natural Environment Research Council, Northwest Fisheries Science Center
Climate action
Openalex Percentile: Top 0%
Landslides and related hazards
26.64
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Predicting debris flow pathways using volume-based thresholds for effective risk assessment — Vanessa Banks, Thomas Oommen, et al. · npj natural hazards. (2025) | TGRS Research Map | TGRS