This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
Simulation-Based Sensitivity Analysis of Check-Dam Height Effects on Downstream Debris-Flow Depth for Structural Countermeasure Scenarios
Downloads
Authors
Abstract
Check dams can influence debris-flow propagation, but their effects may depend on location, height, and local topographic conditions. This study evaluates the sensitivity of downstream debris-flow depth to check-dam height scenarios using numerical simulations of a mountainous catchment in Atami, Japan. Six hypothetical check-dam locations were placed along the torrent, and 4,877 valid cases were generated by varying their heights. The maximum debris-flow depth at a downstream evaluation section was used as the response variable. A machine-learning surrogate model was used to summarize the simulation-derived relationship between dam-height combinations and downstream flow depth, and location-dependent sensitivity was evaluated using permutation importance. The highest sensitivity was found at a midstream check-dam location, while an adjacent downstream location also contributed substantially. Longitudinal topographic analysis suggests that this pattern may be related to local terrain modification and erosion–deposition tendencies between adjacent dam locations. These results indicate that check-dam height effects cannot be interpreted solely from downstream distance. The study provides a reproducible scenario-screening workflow for preliminary interpretation of debris-flow mitigation scenarios, distinct from event reproduction, design optimization, or design-criteria development.
DOI
https://doi.org/10.31223/X59R3X
Subjects
Earth Sciences, Engineering, Other Engineering, Risk Analysis
Keywords
Debris flow, Check dam, Sensitivity analysis, Topographic control, erosion-deposition, numerical simulation, Atami, Japan
Dates
Published: 2026-05-20 11:44
Last Updated: 2026-05-20 11:44
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data Availability:
The topographic dataset used in this study is available from the Center for Spatial Information Science, The University of Tokyo, as cited in the References. The iRIC software and Morpho2DH solver are available from the iRIC project website. The simulation-derived input–output dataset, Latin hypercube sampling table, uniform-height scenario dataset, and Python scripts used for surrogate-model comparison, permutation-importance analysis, and figure generation will be deposited in Zenodo as a companion research package, and the preprint record will be updated with the repository DOI after deposition.
Metrics
Views: 19
Downloads: 2
There are no comments or no comments have been made public for this article.