What question did this study set out to answer?

This research aims to enhance the prediction of slope deformation in open-pit mining by integrating multi-source field data with machine learning techniques.

July 1, 2026Canadian Geotechnical Journal

Deformation analysis and prediction of an instability area in an open pit slope in Canada using multi-source field data and machine learning algorithms

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Authors

WZWenbo ZhengWaseda University EOEmmanuel Afful OtengUniversity of Northern British Columbia

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Implication

Randomized trial investigates machine learning's efficacy to predict slope deformation in an open-pit mine, indicating improved risk management strategies.

Key Points

This research aims to enhance the prediction of slope deformation in open-pit mining by integrating multi-source field data with machine learning techniques.
Evaluated three machine learning algorithms: linear regression, regression trees, and support vector machines.
Analyzed deformation data from continuous ground-based radar monitoring and various environmental factors.
Applied both random and chronological data-splitting strategies for model training and testing.
Regression trees and support vector machines showed superior performance in predicting short-term deformation trends.
Deformation velocities and peak movement periods were accurately forecasted, particularly using regression trees.
Findings indicate that mining activities near unstable zones significantly impact slope stability, with machine learning enhancing predictive accuracy.

Cite This Study

Zheng et al. (2026) studied this question.

synapsesocial.com/papers/6a44ae8c5cd2549c8bc43b26 https://doi.org/10.1139/cgj-2026-0173

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Implication

Randomized trial investigates machine learning's efficacy to predict slope deformation in an open-pit mine, indicating improved risk management strategies.

Deformation analysis and prediction of an instability area in an open pit slope in Canada using multi-source field data and machine learning algorithms

Discussion

Member takes

Implication

Key Points

Cite This Study

Deformation analysis and prediction of an instability area in an open pit slope in Canada using multi-source field data and machine learning algorithms

Discussion

Member takes

Implication

Key Points

Cite This Study

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