Machine Learning Method Application to Detect Predisposing Factors to Open-Pit Landslides: The Sijiaying Iron Mine Case Study

Machine Learning Method Application to Detect Predisposing Factors to Open-Pit Landslides: The Sijiaying Iron Mine Case Study

Slope stability and landslide analysis in open-pit mines present significant engineering challenges due to the complexity of predisposing factors. The Sijiaying Iron Mine has an annual production capacity of 21 million tons, with a mining depth reaching 330 m. Numerous small-scale landslides have oc...

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Bibliographic Details
Main Authors: Jiang Li, Zhuoying Tan, Naigen Tan, Aboubakar Siddique, Jianshu Liu, Fenglin Wang, Wantao Li
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Land
Subjects:
open pit
landslide susceptibility
interpretable machine learning
LightGBM
SHAP
Online Access:https://www.mdpi.com/2073-445X/14/4/678
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