Combined application of numerical simulation and machine learning in debris flow hazard mapping

Combined application of numerical simulation and machine learning in debris flow hazard mapping

Abstract Debris flow hazard mapping (DFHM) played an important role in reducing the threat of debris flows. Conventional DFHM usually requires numerical simulations to obtain debris flow intensity, which is usually quite time-consuming. This paper is to introduce a combined application framework of...

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Bibliographic Details
Main Authors: Ruiyuan Gao, Ang Wang, Hailiang Liu, Xiaoyang Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Debris flow
Hazard assessment
Numerical analysis
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-15744-9
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https://doi.org/10.1038/s41598-025-15744-9

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