The monitoring and prediction of mining subsidence in the Amaga,Angelopolis, Venecia and Bolombolo Regions,Antioquia, Colombia |
| |
| Institution: | 1. IMC Group Consulting Limited, P.O. Box 18, Common Road, Sutton-in-Ashfield NG17 2NS, Nottinghamshire, UK;2. Universidad Nacional de Colombia, Centro del Carbon, Facultad de Minas, Medellin, Colombia, South America;3. Research Fellow, British Geological Survey, Nottingham, NG12 5GG, UK;1. College of Land Science and Technology, China University of Geosciences, 29 Xueyuanlu, Haidian District, 100083 Beijing, People''s Republic of China;2. Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Land and Resources, 100035 Beijing, People''s Republic of China;1. School of Civil, Environment and Chemical Engineering, RMIT University, Melbourne, Australia;2. School of Mathematical and Geospatial Science, RMIT University, Melbourne, Australia;1. Australian Research Council Centre of Excellence for Geotechnical Science and Engineering, The University of Newcastle, Callaghan, NSW 2308, Australia;2. School of Engineering, RMIT University, Melbourne, VIC 3000, Australia;3. School of Civil, Environmental & Mining Engineering, University of Adelaide, Adelaide, SA 5005, Australia;1. School of Resources and Environment, North China University of Water Resources and Electric Power, Zhengzhou 450045, Henan Province, PR China;2. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, Jiangsu Province, PR China;3. Mining and Mineral Resources Engineering, Southern Illinois University Carbondale, Carbondale, IL 62901, USA;4. School of Surveying and Landing Information Engineering, Henan Polytechnic University, Jiaozuo 454003, Henan Province, PR China |
| |
| Abstract: | Amaga, Angelopolis, Venecia and Bolombolo are small towns located in Antioquia, in the Central Cordillera of the Colombian Andes. Mining has been practised in this region for a period of at least 100 years. This mining has mainly been small-scale, poorly mechanised and restricted to shallow room and pillar workings. Recently, the semi-mechanisation of some mines has enabled coal to be extracted using longwall mining methods. However, this has resulted in subsidence that has caused severe damage to structures, residential property, and agricultural land, and also induced landslides. In the British Isles, there are several reliable methods that can be used to predict the likelihood and magnitude of mining subsidence. The British Coal Corporation and the University of Nottingham have developed one such method, the “Subsidence With Influence Function Technique (SWIFT).” Based on mining subsidence observations undertaken in the coalfields of Britain over a period of approximately 50 years. The SWIFT program was used to predict the magnitude of subsidence, above a longwall panel, at the Industrial Hullera mine in Colombia. The results were then compared with subsidence profiles obtained from precise levelling and field monitoring. In each case, the SWIFT program overestimated the magnitude of mining subsidence by 0.17–0.20 m. However, the morphology of the subsidence profile, area-of-influence and location of maximum subsidence were similar. This overestimation of the predicted subsidence was attributed to the occurrence of strong, igneous rocks, such as rhyolite sills, in the Colombian coal measures. These strong, competent horizons act as cantilever beams during subsidence, causing bed separation and therefore reducing the magnitude of subsidence. In spite of these differences, mining subsidence can be predicted with a reasonable degree of accuracy and precision using the SWIFT technique, provided the software is calibrated and used in conjunction with local expertise. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
