September 12, 2025WaterOpen Access

Integrating Loose Layer Drainage into Mining Subsidence Prediction: A Mathematical Model Validated by Field Measurements and Numerical Simulations

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Discussion

This model integrates loose layer drainage impacts, improving subsidence accuracy in mining areas, suggesting better resource management.

The proposed model achieves a root mean square error of 27 mm in predicting surface subsidence, significantly better than existing methods.
Existing models yielded root mean square errors of 78 mm and 123 mm, indicating a substantial improvement in prediction accuracy.
Field measurements and numerical simulations were used to validate the effectiveness of the new subsidence prediction model.
This research supports sustainable development in mining locations by providing a better understanding of environmental impacts.

Zhou et al. (2025) studied this question.

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