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Static and Dynamic Subsidence Prediction in the Northern Appalachian Based on the Use of a Variable Subsidence Coefficient.
Adamek V; Jeran PW; Trevits MA
Proceeds 3rd Workshop on Surf Subsidence Due to Ug Mng Morgantown 6/1-4/92 WVU PP 10-21 :10-21
Due to the variability of subsidence characteristics across the U.S. coalfields, it was concluded that it would be practically impossible to develop a universal predictive model for mining-induced subsidence based on theoretical assumptions. Therefore, an effort was made to find a procedure to develop an empirical subsidence predictive model based on a sufficient amount of field data from one mining area (in this case the northern Appalachian coal region). It was also thought that this procedure if successful, could be used as the template for developing predictive capabilities for other coalfields with different subsidence characteristics, given a reasonable amount of field data. It has been found, in the northern Appalachian coal region, that the variability of subsidence characteristics can be expressed by a polynomial equation developed through regression analysis of the variable subsidence coefficient and derived directly from the field data. This paper presents the theory, development, and application of the static and dynamic subsidence prediction models.
Proceeds 3rd Workshop on Surf. Subsidence Due to Ug Mng. (Morgantown, 6/1-4/92). WVU, PP. 10-21
Page last reviewed: September 24, 2021
Content source: National Institute for Occupational Safety and Health Education and Information Division