The effects of mining subsidence and drainage improvements on a waterlogged area
- 33 Downloads
Subsidence caused by mining can lead to serious waterlogging problems. In this study, numerical simulation was used to predict both subsidence and waterlogging in a coal-mining area. Changes in the phreatic surface and the area of waterlogging caused by mining subsidence were estimated for various mining scenarios using field measurements and simulation analysis. The results of the numerical simulation for the area of waterlogging caused by existing mining subsidence agreed well with the measured results. The simulation results showed that further mining will cause additional subsidence and increase the extent of the waterlogged areas. The numerical simulation method was used to analyze the effects of improvements to the drainage system for different mining scenarios. The improvements included additional drainage channels and raising the height of river embankments to prevent flooding. The results showed that the western drainage improvements have decreased the water table by about 1.0–1.3 m after mining of the No.2 coal seam, while the eastern drainage improvements would decrease the water table by about 2.0 m after mining of the No.4 coal seam. Thus, the area of waterlogging could be effectively managed.
KeywordsMining subsidence Waterlogged area China Numerical simulation Drainage systems
Funding was provided by China Scholarship Council (201708370106), National Natural Science Foundation of China (Grant No. 51604167), Primary Research & Development Plan of Shandong Province (2018GSF117018), Shandong Province Natural Science Foundation Project (ZR2017MEE055).
We thank Paul Seward, PhD, from Edanz Group (www.edanzediting.com/ac) for editing a draft of this manuscript.
- Azid A, Juahir H, Toriman ME, Kamarudin MKA, Saudi ASM, Hasnam CNC, Aziz NAA, Azaman F, Latif MT, Zainuddin SFM (2014) Prediction of the level of air pollution using principal component analysis and artificial neural network techniques: A case study in Malaysia. Water Air Soil Pollut 225(8):2063CrossRefGoogle Scholar
- Cui X-M, Miao X-X, Zhao Y-L (1999) Discussion on the time function of time dependent surface movement. J China Coal Soc 24(5):453–456Google Scholar
- Esterhuizen E, Mark C, Murphy MM (2010) Numerical model calibration for simulating coal pillars, gob and overburden response. In: Proceeding of the 29th international conference on ground control in mining, Morgantown. pp 46–57Google Scholar
- Guo W, Zhao J, Yin L, Jiang N (2017a) Study on Fault Water Inrush Mechanism and Nonlinear Seepage-stress Coupling. J Shandong Univ Sci Technol (Nat Sci) 6:1–7Google Scholar
- He Y, He X, Liu Z, Zhao S, Bao L, Li Q, Yan L (2017) Coal mine subsidence has limited impact on plant assemblages in an arid and semi-arid region of northwestern China. Ecoscience 24(3–4):91–103Google Scholar
- Isiaka AI, Sehoole L, Durrheim R, Manzi M (2017) Integrated high-resolution seismic and electrical Resistivity investigation of subsidence and sinkholes at abandoned coal mine sites in south Africa. In: International Conference on Engineering Geophysics, Al Ain, United Arab Emirates, 9–12 October 2017. Society of Exploration Geophysicists, pp 234–237Google Scholar
- Kanghe X, Guoxi Z (1989) Consolidation Theories for Drain Wells under Equal Strain Condition. Chin J Geotech Eng 2(2):3Google Scholar
- Keifer CJ, Chu HH (1957) Synthetic storm pattern for drainage design. J Hydraul Div 83(4):1–25Google Scholar
- Louis C (1972) Rock hydraulics. In: Müller L (ed) Rock mechanics. Springer, Vienna, pp 299–387Google Scholar
- Miao X-X (2012) Progress of fully mechanized mining with solid backfilling technology. J China Coal Soc 37(8):1247–1255Google Scholar
- Perry A (2018) Determining the mechanisms of subsidence at a dewatered Carlin Trend underground mine using numerical modeling methods. Master Thesis, Queen’s UniversityGoogle Scholar
- Teng Y, Tang Z, Yi S, Yan C (2017) Evaluation of foundation stability in coal mine subsidence area and deformation resistance technology. In: Geoinformatics, 2017 25th International Conference on. IEEE, pp 1–4Google Scholar
- Wang J, Liu X, Liu X (2015) Dynamic prediction model for mining subsidence. J China Coal Soc 40(3):516–521Google Scholar
- Wang N, Wu K, Liu J, An S (2013) Model for mining subsidence prediction based on Boltzmann function. J China Coal Soc 38(8):1352–1356Google Scholar
- Warren JE, Root PJ (1963) The behavior of naturally fractured reservoirs. Soc Petrol Eng J 3:245–255Google Scholar
- Zha JF (2008) Study on the foundational problems of mining subsidence controlled in waste stow. Ph.D. Thesis, China University of Mining and Technology (in Chinese)Google Scholar
- Zhao J, Yin L, Guo W (2018) Stress–Seepage Coupling of Cataclastic Rock Masses Based on Digital Image Technologies. Rock Mech Rock Eng 1–18Google Scholar
- Zhou J, Deng Y, Jia M, Wang J (2010) Coupling method of two-dimensional discontinuum–continuum based on contact between particle and element. Chin J Geotech Eng 32(10):1479–1484Google Scholar