Skip to main content
SpringerLink
Log in

Risk Evaluation of Mine-Water Inrush Based on Comprehensive Weight Method

  • Original Paper
  • Published:
Geotechnical and Geological Engineering Aims and scope Submit manuscript

Abstract

This paper presents a method for evaluation floor water inrush risk using combined weighting and analytic hierarchy process. The method is validated by a case study at the Pengzhuang coal mine in Shandong Province, China. First, the relevant geological background, hydrogeological data and related data were collected and analyzed, and the risk evaluation index of water inrush from the floor was determined. Then, combined with principal component analysis, entropy weight method and analytic hierarchy process, a comprehensive evaluation model was constructed to determine the comprehensive weights of each surge evaluation index. Finally, based on the GIS geographic information processing system, the optimized comprehensive weighting mathematical model was combined with the vulnerability index method to determine the water inrush risk division. The results show that the improved integrated weighting model is more accurate than the improved comprehensive weighting model. At the same time, the evaluation results obtained by comparing the traditional water inrush coefficient method have verified the reasonableness of the evaluation model. The results can provide a theoretical basis for the safe mining of coal seam above confined groundwater.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data Availability

Enquiries about data availability should be directed to the authors.

References

  • Alizadeh Z, Yazdi J, Moridi A (2018) Development of an entropy method for groundwater quality monitoring network design. Environ Processes 5(4):769–788

    Article  Google Scholar 

  • Adib A, Afzal P, Ilani SM, Aliyari F (2017) Determination of the relationship between major fault and zinc mineralization using fractal modeling in the Behabad fault zone, central Iran. J Afr Earth Sci 134:308–319

    Article  Google Scholar 

  • Amiri V, Rezaei M, Sohrabi N (2014) Groundwater quality assessment using entropy weighted water quality index (EWQI) in Lenjanat. Iran Environ Earth Sci 72(9):3479–3490

    Article  Google Scholar 

  • Carpinteri A, Paggi M (2008) Size scale effects on strength, friction and fracture energy of faults: a unified interpretation according to fractal geometry. Rock Mech Rock Eng 41(5):735–746

    Article  Google Scholar 

  • Cui FP, Wu Q, Liu DM et al (2015) Comprehensive technique for coal mine water disaster prevention and treatment. Safety Coal Mines 46(3):175–177

    Google Scholar 

  • Gao T, Zhang RX, Gao SC et al (2019) Coal mine safety risk assessment based on cloud model and combination weighting. Industry Mine Automation 45(12):23–28

    Google Scholar 

  • Gorgij AD, Kisi O, Moghaddam AA et al (2017) Groundwater quality ranking for drinking purposes, using the entropy method and the spatial autocorrelation index. Environ Earth Sci 76(7):1–9

    Article  Google Scholar 

  • Hu WY, Yin SX (2010) Dynamic mechanism of water inrush from floor of mining face. Chin J Rock Mech and Eng 29(S1):3344–3349

    Google Scholar 

  • Hu YB, Li WP, Wang QQ et al (2019) Evaluation of water inrush risk from coal seam floors with an AHP–EWM algorithm and GIS. Environ Earth Sci 78:290

    Article  Google Scholar 

  • Jin DW (2002) Research status and outlook of water outburst from seam floor in China coal mines. Coal Sci Techno 30(6):1–4

    Google Scholar 

  • Li Q, Sui WH (2021) Risk evaluation of mine-water inrush based on principal component logistic regression analysis and an improved analytic hierarchy process. Hydrogeol J 29(3):1299–1311

    Article  Google Scholar 

  • Li JW, Qiao JG, Dou YM et al (2020) Safety evaluation method of antifloating anchor system based on comprehensive weighting method and gray-fuzzy theory. Math Probl Eng 2020:3216948

    Google Scholar 

  • Li SC, Zhou ZQ, Li LP et al. (2013) Risk assessment of water inrush in karst tunnels based on attribute synthetic evaluation system Tunn Undergr Sp Tech 38(s):50–58

  • Liu WT, Mu DR, Yang L et al (2017) Calculation method and main factor sensitivity analysis of inclined coal floor damage depth. J Chin Coal Soc 42(4):849–859

    Google Scholar 

  • Liu WT, Li Q, Zhao JY (2018) Application on floor water inrush evaluation based on AHP variation coefficient method with GIS. Geotech Geol Eng 36(5):2799–2808

    Article  Google Scholar 

  • Liu WT, Sun X, Xu BC (2020) Risk evaluation of water inrush from coal seam floor based on GIS and principal component analysis-entropy weight method. Min Res Develop 40(11):83–88

    Google Scholar 

  • Maji KJ, Chaudhary R (2019) Principal component analysis for water quality assessment of the Ganga River in Uttar Pradesh. India Water Resour 46(5):789–806

    Article  Google Scholar 

  • Mi JP, Huang WJ, Chen MC et al (2021) A method of entropy weight quantitative risk assessment for the safety and security integration of a typical industrial control system. IEEE Access 9:90919–90932

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process. McGraw Hill, New York City

    Google Scholar 

  • Sengupta P, Nath SK, Thingbaijam KKS, Mistri S (2011) Fractal analysis of major faults in India on a regional scale. J Geol Soc India 78(3):226

    Article  Google Scholar 

  • Shi LQ (2009) Summary of research on mechanism of water-inrush from seam floor. J Shandong U Sci Tech (nat Sci) 28(3):17–23

    Google Scholar 

  • Shi LQ, Gao W, Han J et al (2017) A nonlinear risk evaluation method for water inrush through the seam floor. Mine Water Environ 36(4):597–605

    Article  Google Scholar 

  • Sun J (2014) Failure characteristics of floor ‘“three-zone”’ along the inclined direction of coal seam. J Min Saf Eng 31(1):115–121

    Google Scholar 

  • Sun J, Miao XX (2017) Water-isolating capacity of an inclined coal seam floor based on the theory of water-resistant key strata. Mine Water Environ 36(2):310–322

    Article  Google Scholar 

  • Sun J, Wang LG, Tang FR et al (2011) Microseismic monitoring failure characteristics of inclined coal seam floor. Rock Soil Mech 32(5):1589–1595

    Google Scholar 

  • Teixeira de Souza A, Carneiro LATX, da Silva Junior OP et al (2021) Assessment of water quality using principal component analysis: a case study of the Marrecas stream basin in Brazil. Environ Technol 42(27):4286–4295

    Article  Google Scholar 

  • Tripathi M, Singal SK (2019) Use of principal component analysis for parameter selection for development of a novel water quality index: a case study of river Ganga India. Ecol Indic 96:430–436

    Article  Google Scholar 

  • Uyan M (2013) GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya or Turkey. Renew Sust Energ Rev 28:11–17

    Article  Google Scholar 

  • Wang Y, Yang WF, Li M et al (2012) Risk assessment of floor water inrush in coal mines based on secondary fuzzy comprehensive evaluation. Inte J Rock Mech Min 52:50–55

    Article  Google Scholar 

  • Wang X, Zheng JM, Zhang CH et al (2018) Forecast and evaluation of water inrush from coal floor based on AHP entropy method. Safety Coal Mines 44(12):126–130

    Google Scholar 

  • Wu Q, Wang JH, Liu DH et al (2009) A new practical methodology of the coal floor water bursting evaluating IV: the application of AHP vulnerable index method based on GIS. J China Coal Soc 34(2):233–238

    Google Scholar 

  • Wu Q, Fan ZL, Liu SQ et al (2011) Water-richness evaluation method of water-filled aquifer based on the principle of information fusion with GIS: Water-richness index method. J China Coal Soc 36(7):1124–1128

    Google Scholar 

  • Wu Q, Zhang B, Zhao WD et al (2013) A new practical methodology of coal seam floor water burst evaluation: the comparison study among ANN, the weight of evidence and the logistic regression vulnerable index method based on GIS. J China Coal Soc 38(1):21–26

    Google Scholar 

  • Zhang XL (2017) Application of entropy weight method and analytic hierarchy process in evaluation of water inrush from coal seam floor. Coal Geol Explor 45(3):91–95

    Google Scholar 

  • Zhang WQ, Zhang X, Jiao YF (2016) Prediction of mining face inflow based on PCA-GA-LSSVR. Coal Technol 35(5):144–147

    Google Scholar 

  • Zhang CH, Zheng JM, Zhang YZ et al (2020) Evaluation method of coal seam floor water inrush based on Surfer and its application. Min Safety Environ Prot 47(5):60–64

    Google Scholar 

  • Zhao JY, Liu WT, Shen JJ et al (2022) A real-time monitoring temperature-dependent risk index for predicting mine water inrush from collapse columns through a coupled thermal–hydraulic-mechanical model. J Hydrol 607:127565

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the Natural Science Foundation of Shandong Province (No. ZR2019MEE084).

Funding

This work was supported by the Natural Science Foundation of Shandong Province (No. ZR2019MEE084).

Author information

Authors and Affiliations

  1. Xincheng Design and Research Co., LTD, Zaozhuang Mining Group Co., LTD, Zaozhuang, 277000, China

    Zhijun Zhao

  2. Shandong University of Science and Technology, Qingdao, 266590, Shandong, China

    Jingmei Gu

Authors
  1. Zhijun Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jingmei Gu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jingmei Gu.

Ethics declarations

Conflict of interest

We declare that we have no financial and personal relationships with other people or organizations that could inappropriately influence the submitted work.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, Z., Gu, J. Risk Evaluation of Mine-Water Inrush Based on Comprehensive Weight Method. Geotech Geol Eng 41, 189–203 (2023). https://doi.org/10.1007/s10706-022-02273-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10706-022-02273-9

Keywords

Search

Navigation