Abstract
Ground movements due to longwall mining operations have the potential to damage the hydrological balance within as well as outside the mine permit area in the form of increased surface ponding and changes to hydrogeological properties. Recently, the Office of Surface Mining, Reclamation and Enforcement (OSMRE) in the USA, has completed a public comment period on a newly proposed rule for the protection of streams and groundwater from adverse impacts of surface and underground mining operations (80 FR 44435). With increased community and regulatory focus on mining operations and their potential to adversely affect streams and groundwater, now there is a greater need for better prediction of the possible effects mining has on both surface and subsurface bodies of water. With mining induced stress and strain within the overburden correlated to changes in the hydrogeological properties of rock and soil, this paper investigates the evaluation of the hydrogeological system within the vicinity of an underground mining operation based on strain values calculated through a surface deformation prediction model. Through accurate modeling of the pre- and post-mining hydrogeological system, industry personnel can better depict mining induced effects on surface and subsurface bodies of water aiding in the optimization of underground extraction sequences while maintaining the integrity of water resources.
Document Type
Article
Publication Date
1-2017
Digital Object Identifier (DOI)
https://doi.org/10.1016/j.ijmst.2016.11.016
Funding Information
This study was sponsored by the Appalachian Research Initiative for Environmental Science (ARIES).
Repository Citation
Newman, Christopher R.; Agioutantis, Zacharias; and Leon, Gabriel Boede Jimenez, "Assessment of Potential Impacts to Surface and Subsurface Water Bodies Due to Longwall Mining" (2017). Mining Engineering Faculty Publications. 6.
https://uknowledge.uky.edu/mng_facpub/6
Included in
Engineering Science and Materials Commons, Environmental Sciences Commons, Mining Engineering Commons
Notes/Citation Information
Published in International Journal of Mining Science and Technology, v. 27, issue 1, p. 57-64.
© 2016 Published by Elsevier B.V. on behalf of China University of Mining & Technology.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).