An improved methodology for applying the influence function for subsidence hazard prediction

Volume: 16, Issue: 2, Pages: 347 - 359
Published: Jan 23, 2021
Abstract
The extraction of ore and minerals by underground mining often presents important risk for surface infrastructures. Several methods that have been developed to predict ground subsidence, and the influence function method (IFM) is one of the most efficient for predicting this phenomenon in the context of mining engineering. However, applying this method to a specific mining site requires adjustments that are difficult to achieve. In this paper, a...
Paper Details
Title
An improved methodology for applying the influence function for subsidence hazard prediction
Published Date
Jan 23, 2021
Volume
16
Issue
2
Pages
347 - 359
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