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Assessment of groundwater inrush from underlying aquifers in Tunbai coal mine, Shanxi province, China

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Abstract

Groundwater water inrush into mines from aquifers underlying coal seams is often disastrous. Multiple factors control the groundwater inrush processes. For coal seams #10 and #11, ten main controlling factors were determined and quantified separately. The thematic map of every controlling factor was obtained with the data processing functions of GIS after the data were normalized. The influence weight of each factor was calculated using the AHP vulnerability index method. Superimposition of thematic maps with the GIS results in the vulnerability zoning map for coal seams #10 and #11. The appropriate prevention and control measures against the groundwater inrush are then proposed according to the vulnerability zoning map.

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References

  • Chen S (1999) Introduction of geography information system. Science Press, Beijing, pp 101–163 (in Chinese)

    Google Scholar 

  • Coalfield Geological Central Bureau of China (2000) Coalfield hydrogeology of China. Coal Industry Publishing House of China, Beijing, pp 15–59 (in Chinese)

    Google Scholar 

  • Jiang B, Chang X, Wang X et al (2008) Hydrogeological condition investigation report of Tuanbai Coal Mine of Shanxi Province, Northwest China. Nonferrous Engineering Co., Ltd, Xian (in Chinese)

    Google Scholar 

  • Liu Q (2009) A discussion on water inrush coefficient. Coal Geol Explor 37(4):34–42 (in Chinese)

    Google Scholar 

  • Ma L (2003) Standardization of statistical data—dimensionless method. Beijing Stat 3:34–35 (in Chinese)

    Google Scholar 

  • Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15:234–281

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York City, pp 112–155

    Google Scholar 

  • Shang D, Wu Q, Zhao S (2006) Guidance for the prevention and control of mine water disaster. State Administration of Coal Mine Safety Supervision Bureau of China, Beijing, pp 26–48 (in Chinese)

    Google Scholar 

  • State Administration of Coal Mine Safety of China (2009) Interpretation of the regulations of mine water disaster prevention. China University of Mining and Technology Press, Xuzhou, pp 227–236 (in Chinese)

    Google Scholar 

  • Wu Q (2001) Supervision of coal mine safety (mine water disaster and investigation). China University of Mining and Technology Press, Xuzhou, pp 23–38 (in Chinese)

    Google Scholar 

  • Wu Q, Jin Y (1995) Decision system of water control in mines of north china type coal fields. Coal Industry Publishing House of China, Beijing, pp 45–51 (in Chinese)

    Google Scholar 

  • Wu Q, Zhang Z, Ma J (2007) The new practical evaluation method of floor water inrush. I: the establishment of the main controlling index system. J China Coal Soc 32(1):42–47 (in Chinese)

    Google Scholar 

  • Wu Q, Xu H, Pang W (2008) GIS and ANN coupling model: an innovative approach to evaluate vulnerability of karst water inrush in coalmines of north China. Environ Geol 54(5):937–943

    Article  Google Scholar 

  • Wu Q, Zhou W, Wang J et al (2009) Prediction of groundwater inrush into coal mines from aquifers underlying the coal seams in China: application of vulnerability index method to Zhangcun Coal Mine, China. Environ Geol 57(5):P1187–P1195

    Article  Google Scholar 

  • Wu Q, Liu Y, Liu D et al (2011a) Prediction of floor water inrush: the application of GIS-Based AHP vulnerable index method to Donghuantuo coal mine, China. Rock Mech Rock Eng 44:591–600

    Article  Google Scholar 

  • Wu Q, Liu Y, Liu Y (2011b) Using the vulnerable index method to assess the likelihood of a water inrush through the floor of a multi-seam coal mine in China. Mine Water Environ 30(1):54–61

    Article  Google Scholar 

  • Wu Q, Liu Y, Zhou W et al (2014) Evaluation of water inrush vulnerability from aquifers overlying coal seams in the menkeqing coal mine. Mine Water Environ, China. doi:10.1007/s10230-014-0313-5

    Google Scholar 

  • Wu Q, Liu Y, Luo L et al (2015) Quantitative evaluation and prediction of water inrush vulnerability from aquifers overlying coal seams in Donghuantuo coal mine, China. Environ Earth Sci 74:1429–1437. doi:10.1007/s12665-015-4132-1

    Article  Google Scholar 

  • Xu S (1998) The principles of the analytic hierarchy process. Tianjin University Press, Tianjin, pp 35–45 (in Chinese)

    Google Scholar 

  • Zhang D, Zheng S, Sun Y et al (1994) Geographic information system technology and the application in prediction of coalmine water disaster. China University of Mining and Technology, Beijing, pp 45–123 (in Chinese)

    Google Scholar 

  • Zhao H, Xu S, He J (1986) Analytic hierarchy process—A simple new method for decision-making. Science Press, Beijing, pp 23–58 (in Chinese)

    Google Scholar 

Download references

Acknowledgments

This research was financially supported by China National Natural Science Foundation (Grant No. 41272276, 41572222, 41430318), China National Scientific and Technical Support Program (Grant No. 201105060-06, 2012BAB12B03), Beijing Natural Science Foundation (4142015), National Geological Survey Program (shui[2012]-01-035-036), Fundamental Research Funds for the Central Universities (2010YD02), Innovation Research Team Program of Ministry of Education (IRT1085) and State Key Laboratory of Coal Resources and Safe Mining. The authors would like to thank the editor and the reviewers for their constructive suggestions.

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Correspondence to Yuanzhang Liu.

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Wu, Q., Liu, Y., Wu, X. et al. Assessment of groundwater inrush from underlying aquifers in Tunbai coal mine, Shanxi province, China. Environ Earth Sci 75, 737 (2016). https://doi.org/10.1007/s12665-016-5542-4

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  • DOI: https://doi.org/10.1007/s12665-016-5542-4

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