Underground mining, especially coal mines, are prone to causing gradual sinking or caving in of the ground above. This problem can have indirect impacts on nearby structures and water resources. To prevent this from occurring, accurate assessment of the type, severities and location and knowledge of the surrounding structures are crucial to mitigate a collapse.
Once the causes and extents of the structural disturbances are identified, designing proper and cost-effective mitigation measures is often relatively easy. Based on the principle of influence function method, a series of subsidence prediction models have been developed at in the Department of Mining Engineering at Statler College for predicting dynamic and final surface and subsurface subsidence for longwall, room and pillar mining operations commonly found in the United States coal industry.