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A Prediction Model for Mining Subsidence in Loess-Covered Mountainous Areas of Western China


Affiliations
1 College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, China
 

Land subsidence in the loess-covered mountainous area is a complex process that contemporary models could not accurately simulate. We assumed that flatground mining subsidence was the result of joint action of bedrock mining subsidence under equivalent load of the loess layer and the spread of bedrock surface subsidence to land surface via thick loess layers. Quantitative relationships between equivalent load of the loess layer and equivalent exploitation width, depth, and bedrock subsidence were examined. A double-medium model of flat-ground mining subsidence based on stochastic medium theory was developed to simulate the interactions between loess layers and bedrock. Another model was established to describe the slip deformation associated with loess in hill side mining. The two models were integrated to account for mining subsidence on flat ground and hillside. The integrated model was demonstrated to be robust in land subsidence deformation prediction for loess-covered mountainous area based on field measurements from a mining area in western China.

Keywords

Deformation Prediction, Loess Layer, Mining Area of Western China, Mining Subsidence, Hillside Slip.
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  • Zhang, J. X., Zhang, Q., Sun, Q., Gao, R., Germain, D. and Abro, S., Surface subsidence control theory and application to backfill coal mining technology. Environ. Earth Sci., 2015, 74, 1439-1448.

  • Howladar, M. F. and Hasan, K., A study on the development of subsidence due to the extraction of 1203 slice with its associated factors around Barapukuria underground coal mining industrial area, Dinajpur, Bangladesh. Environ. Earth Sci., 2014, 72, 3699-3713.

  • Álvarez-Fernández, M. I., González-Nicieza, C., Menéndez-Díaz, A. and Álvarez-Vigil, A. E., Generalization of the n–k influence function to predict mining subsidence. Eng. Geol., 2005, 80, 1–36.

  • Zhu, X. J., Guo, G. L. and Fang, Q., Coupled discrete element-finite difference method for analyzing subsidence control in fully mechanized solid backfilling mining. Environ. Earth Sci., 2016, 75, 683.

  • Yang, D. J., Bian, Z. F. and Lei, S. G., Impact on soil physical qualities by the subsidence of coal mining: a case study in Western China. Environ. Earth Sci., 2016, 75, 652.

  • Wang, J. M., Wang, P., Qin, Q. and Wang, H. D., The effects of land subsidence and rehabilitation on soil hydraulic properties in a mining area in the Loess Plateau of China. Catena, 2017, 159, 51–59.

  • Hu, Z. Q. and Xiao, W., Optimization of concurrent mining and reclamation plans for single coal seam: a case study in northern Anhui, China. Environ. Earth Sci., 2013, 68, 1247–1254.

  • Wang, X. H., Hu, H. F. and Lian, X. G., Dynamic subsidence prediction method based on negative exponential method and Weibull time sequence function. Met. Mine, 2015, 44, 158–162. (In Chinese with English abstract).

  • Wu, X., Jiang, X. W., Chen, Y. F., Tian, H. and Xu, N. X., The influences of mining subsidence on the ecological environment and public infrastructure: a case study at the Haolaigou Iron Ore Mine in Baotou, China. Environ. Earth Sci., 2009, 59, 803-810.

  • Liu, B. C. and Dai, H. Y., Research development and origin of probability integral method. Coal Mining Technol., 2016, 21, 1–3 (In Chinese with English abstract).

  • Tang, F. Q., Research on mechanism of mountain landslide due to underground mining. J. Coal Sci. Eng., 2009, 15, 351–354.

  • Chang, Z. Q., Wang, J. Z., Chen, M., Ao, Z. R. and Yao, Q., A novel ground surface subsidence prediction model for sub-critical mining in the geological condition of a thick alluvium layer. Front. Earth Sci., 2015, 9, 330–341.

  • Tokgöz, Nuray, Case study of the Agacli landslide–gully complex during post-coal-mining reclamation and afforestation. Environ. Earth Sci., 2010, 59, 1559–1567.

  • Salmi, E. F., Nazem, M. and Karakus, M., Numerical analysis of a large landslide induced by coal mining subsidence. Eng. Geol., 2017, 217, 141–152.

  • Dai, H. Y., Lian, X. G., Liu, J. Y., Liu, Y. X., Zhou, Y. M., Deng, W. N. and Cai, Y. F., Model study of deformation induced by fully mechanized caving below a thick loess layer. Int. J. Rock Mech. Min., 2010, 47, 1027–1033.

  • Mulliken, J. S. and Karabalis, D. L., Discrete model for dynamic through-the-soil coupling of 3-D foundations and structures. Earthquake Eng. Struct. Dyn., 1998, 27, 687–710.

  • Guo, Q. B., Guo, G. L., Zha, J. F., Lv, X., Wang, J. T. and Chen, T., Research on the surface movement in a mountain mining area: a case study of Sujiagou Mountain, China. Environ. Earth Sci., 2016, 75, 472.

  • Zhou, D. W., Wu, K., Cheng, G. L. and Li, L., Mechanism of mining subsidence in coal mining area with thick alluvium soil in China. Arab. J. Geosci., 2015, 8, 1855–1867.

  • Tang, F. Q., Mining subsidence prediction model in western thick loess layer mining areas. J. China Coal Soc., 2011, 36, 74–78 (In Chinese with English abstract).

  • Zhang, X. S., Yu, H. C., Dong, J. Y., Liu, S. P., Huang, Z. Q., Wang, J. X. and Wong, H., A physical and numerical model-based research on the subsidence features of overlying strata caused by coal mining in Henan, China. Environ. Earth Sci., 2017, 76, 705.

  • Yang, W. F. and Xia, X. H., Prediction of mining subsidence under thin bedrocks and thick unconsolidated layers based on field measurement and artificial neural networks. Comput. Geosci., 2013, 52, 199–203.

  • Wang, J. M., Wang, P., Qin, Q. and Wang, H. D., The effects of land subsidence and rehabilitation on soil hydraulic properties in a mining area in the Loess Plateau of China. Catena, 2017, 159, 51–59.

  • Deck, O., Heib, M. A. and Homand, F., Taking the soil–structure interaction into account in assessing the loading of a structure in a mining subsidence area. Eng. Struct., 2003, 25, 435–448.

  • Lu, Q. Z. and Peng, J. B., Research on systematic frame and some problems of engineering geology of loess mass. J. Jilin Univ., 2006, 36, 404–409. (In Chinese with English abstract).

  • Wang, J. Z., Chang, Z. Q. and Chen, Y., Study on mining degree and patterns of ground subsidence in condition of mining under thick unconsolidated layers. J. China Coal Soc., 2003, 28, 230-234. (In Chinese with English abstract).


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  • A Prediction Model for Mining Subsidence in Loess-Covered Mountainous Areas of Western China

Abstract Views: 386  |  PDF Views: 123

Authors

Fuquan Tang
College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, China
Jiaxin Lu
College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, China
Pengfei Li
College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, China

Abstract


Land subsidence in the loess-covered mountainous area is a complex process that contemporary models could not accurately simulate. We assumed that flatground mining subsidence was the result of joint action of bedrock mining subsidence under equivalent load of the loess layer and the spread of bedrock surface subsidence to land surface via thick loess layers. Quantitative relationships between equivalent load of the loess layer and equivalent exploitation width, depth, and bedrock subsidence were examined. A double-medium model of flat-ground mining subsidence based on stochastic medium theory was developed to simulate the interactions between loess layers and bedrock. Another model was established to describe the slip deformation associated with loess in hill side mining. The two models were integrated to account for mining subsidence on flat ground and hillside. The integrated model was demonstrated to be robust in land subsidence deformation prediction for loess-covered mountainous area based on field measurements from a mining area in western China.

Keywords


Deformation Prediction, Loess Layer, Mining Area of Western China, Mining Subsidence, Hillside Slip.

References





DOI: https://doi.org/10.18520/cs%2Fv116%2Fi12%2F2036-2043