Advertisement

Assessing mine water quality using a hierarchy fuzzy variable sets method: a case study in the Guojiawan mining area, Shaanxi Province, China

  • Wang Tiantian
  • Jin Dewu
  • Yang JianEmail author
  • Liu Ji
  • Wang Qiangmin
Original Article
  • 24 Downloads

Abstract

It is essential to assess mine water quality before this resource can be comprehensively utilized. The objective of this paper was to develop an integrated approach that can be applied for mine water quality assessment. An improved analytic hierarchy process (IAHP) method was used to calculate the weights of evaluation parameters, while fuzzy variable sets were used to determine the classification of mine water quality. Guojiawan mining area in Shaanxi Province, China, was chosen as the study area for this research and concentrations of total dissolved solids, chemical oxygen demand, chloride, sulfate, fluoride, and arsenic, as well as pH were utilized as water quality assessment factors. A total of 16 water samples, 13 samples from Guojiawan coal mine and three samples from Beiniuchuan River near the mine, were collected. The results show that four of these samples belonged to class III (roof water and river water) and encompass 25% of the total, and it can be used for domestic drinking, irrigation and industrial purposes, directly. While three belonged to class V and were derived from the auxiliary and main haulage roadways as well as the 51140 face cutting. They can be used for some industrial purpose after corresponding treatment. This latter group of samples accounted for 18.75% of the overall total, while the remaining nine were evaluated as class IV, encompassing 56.25% of the total, and they can be used for irrigation directly and domestic drinking after proper treatment.

Keywords

Mine water quality assessment Improved analytic hierarchy process Fuzzy variable sets Weight Guojiawan mining area China 

Notes

Acknowledgements

This research was supported by the National Key R&D Program of China (Grant no. 2016YFC0501104), National Key Research and Development Program of China (Grant no. SHJT-16-30.10), National Natural Science Foundation of China (41807221) technological innovation program of Tiandi science and technology company (2018-TD-MS072).

References

  1. Annapoorna H, Janardhana MR (2015) Assessment of groundwater quality for drinking purpose in rural areas surrounding a defunct copper mine. Procedia 4:685–692Google Scholar
  2. Ashwani KT, Prasoon KS, Mukesh KM (2016) Environmental geochemistry and a quality assessment of mine water in the West Bokaro Coalfield, India. Mine Water Environ 35(4):525–535Google Scholar
  3. Buragohain M, Bhuyan B, Sarma HP (2010) Seasonal variations of lead, arsenic, cadmium and aluminium contamination of groundwater in Dhemaji District, Assam, India. Environ Monit Assess 170(1–4):345–351Google Scholar
  4. Chen SY (2005) Theory and model of engineering variable fuzzy set-Mathamatical basis for fuzzy hydrology and water resources. J Dalian Univ Technol 45(2):308–312 (In Chinese, with English abstract) Google Scholar
  5. Elham F, Asghari M, Fclass TC, Tsai GT (2017) Analysis and assessment of hydrochemical characteristics of Maragheh-Bonab Plain Aquifer, Northwest of Iran. Water Resour Manag 31:765–780Google Scholar
  6. Hao J, Zhang Y, Jia Y (2017) Assessing groundwater vulnerability and its inconsistency with groundwater quality, based on a modified DRASTIC model: a case study in Chaoyang District of Beijing City. Arab J Geosci 10(6):144–149Google Scholar
  7. Heikkinen PM, Räisänen ML, Johnson RH (2009) Geochemical characterisation of seepage and drainage water quality from two sulphide mine tailings impoundments: acid mine drainage versus neutral mine drainage. Mine Water Environ 28(1):30–49Google Scholar
  8. Koffi KV, Obuobie E, Banning A et al (2017) Hydrochemical characteristics of groundwater and surface water for domestic and irrigation purposes in Vea catchment, Northern Ghana. Environ Earth Sci 76(4):185Google Scholar
  9. Leung CM, Jiao JJ (2006) Heavy metal and trace element distributions in groundwater in natural slopes and highly urbanized spaces in Mid-Levels area, Hong Kong. Water Res 40(4):753–767Google Scholar
  10. Li F, Phoon KK, Du X, Zhang M (2013) Improved IAHP method and its application in risk identification. J Construct Eng Manag 139(3):312–320Google Scholar
  11. Li P, Qian H, Howard KWF, Wu J (2015) Heavy metal contamination of yellow river alluvial sediments, northwest china. Environ Earth Sci 73(7):3403–3415Google Scholar
  12. Li FW, Zhu JZ, Deng XY, Li SF (2018) Assessment and uncertainty analysis of groundwater risk. Environ Res 160(2):140–151Google Scholar
  13. Mandal A (2005) Radionuclide and trace element contamination from coal combustion from Kolaghat thermal power plant, India. Mater Flow Coal Utilization 88(4):617–624Google Scholar
  14. Manoj S, Thirumurugan M, Elango L (2017) An integrated approach for assessment of groundwater quality in and around uranium mineralized zone, Gogi region, Karnataka, India. Arab J Geosci 557(10):4–17Google Scholar
  15. Ministry of Land and Resources of the P. R. China (2017) Standards for groundwater quality (DZ/T 0290-2017). National standards for geological exploration of mineral resources, pp 7–10 (in Chinese) Google Scholar
  16. Mohammad RM, Reza S, Ahmad M, Kooshiar AV, Sharareh L, Sogol O, Mehrnoosh A, Azita M (2013) Assessment of water quality in groundwater resources of Iran using a modified drinking water quality index. Ecol Ind 30:28–34Google Scholar
  17. Mondal NC, Singh VP, Singh VS, Saxena VK (2010a) Determining the interaction between groundwater and saline water through groundwater major ions chemistry. J Hydrol 388(1):100–111Google Scholar
  18. Mondal NC, Singh VS, Puranik SC, Singh VP (2010b) Trace element concentration in groundwater of Pesarlanka Island, Krishna Delta, India. Environ Monit Assess 163(1–4):215–227Google Scholar
  19. Moore JW, Ramamoorthy S (1984) Heavy metals in natural waters. Springer-Verlag, New YorkGoogle Scholar
  20. Nahar MN, Inaoka T, Fujimura M, Watanabe C, Shimizu H, Tasnim S, Sultana N (2014) Arsenic contamination in groundwater and its effects on adolescent intelligence and social competence in Bangladesh with special reference to daily drinking/cooking water intake. Environ Health Prev Med 19(2):151–158Google Scholar
  21. Radojevic M, Bashkin VN (1999) Practical environmental analysis. Royal Chemical Soc Publ, London, pp 154–155Google Scholar
  22. Rajesh R, Brindha K, Elango L (2015) Groundwater quality and its hydrochemical characteristics in a shallow weathered rock aquifer of southern India. Water Quality Exposure Health 7(4):515–524Google Scholar
  23. Rajmohan N, Elango L (2004) Identification and evolution of hydrogeochemical processes in the groundwater environment in an area of the Palar and Cheyyar River basins, southern India. Environ Geol 46(1):47–61Google Scholar
  24. Randall JH, William PJ (2017) Pathogen transport in groundwater systems: contrasts with traditional solute transport. Hydrogoly 25:921–930Google Scholar
  25. Robins NS (2002) Groundwater quality in Scotland: major ion chemistry of the key groundwater bodies. Sci Total Environ 294(1):41–56Google Scholar
  26. Saaty TL (2008) Decision-making with the analytic hierarchy process. Int J Service Sci 70(1):83–98Google Scholar
  27. Silvert W (1997) Ecological impact classification with fuzzy sets. Ecol Model 96(1–3):1–10Google Scholar
  28. Singh AK, Mahato MK, Neogi B (2010) Quality assessment of mine water in the Raniganj Coalfield Area, India. Mine Water Environ 29(4):248–262Google Scholar
  29. Singh AK, Mahato MK, Neogi B, Tewary BK, Sinha A (2012) Environmental geochemistry and quality assessment of mine water of Jharia coalfield, India. Environ Earth Science 65:49–65Google Scholar
  30. Song DY, Qin Y, Zhang JY, Wang WF, Zheng CG (2007) Concentration and distribution of trace elements in some coals from Northern China. Int J Coal Geol 69:179–191Google Scholar
  31. Stamatis G, Alexakis D, Gamvroula D, Migiros G (2011) Groundwater quality assessment in Oropos–Kalamos basin, Attica, Greece. Environ Earth Sci 64(4):973–988Google Scholar
  32. Tiwari AK, Singh PK, Mahato MK (2016) Environmental geochemistry and a quality assessment of mine water of the West Bokaro coalfield, India. Mine Water Environ 35:525–535Google Scholar
  33. Vetrimurugan E, Brindha K, Elango L, Ndwandwe OM (2017) Human exposure risk to heavy metals through groundwater used for drinking in an intensively irrigated river delta. Appl Water Sci 7:1–14Google Scholar
  34. Wang XY, Wang TT, Wang Q, Li RZ (2016a) Evaluation of floor water inrush based on fractal theory and an improved analytic hierarchy process. Mine Water Environ 36(1):1–9Google Scholar
  35. Wang XY, Zhao W, Liu XM (2017) Identification of water inrush source from coalfield based on entropy weight-fuzzy variable set theory. J China Coal Soc 42(09):2433–2439 (In Chinese, with English abstract) Google Scholar
  36. Wu J, Li P, Qian H (2015) Hydrochemical characterization of drinking groundwater with special reference to fluoride in an arid area of china and the control of aquifer leakage on its concentrations. Environ Earth Sci 73(12):8575–8588Google Scholar
  37. Xie QM, Xia YY (2004) Multi-objective decision-making method for the treatment scheme of landslide hazard. J Univ Sci Technol Beijing Mineral Metall Mater 11(2):101–105Google Scholar
  38. Xie P, Yue S, Ding J, Wan Y, Li X, Ma J (2018) Degradation of organic pollutants by vacuum-ultraviolet (VUV): kinetic model and efficiency. Water Res 133:69–78Google Scholar
  39. Yesilnacar MI, Kadiragagil Z (2013) Effects of acid mine drainage on groundwater quality: a case study from an open-pit copper mine in eastern Turkey. Bull Eng Geol Env 72(3–4):485–493Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Wang Tiantian
    • 1
    • 2
    • 3
  • Jin Dewu
    • 2
    • 3
  • Yang Jian
    • 2
    • 3
    Email author
  • Liu Ji
    • 1
    • 2
    • 3
  • Wang Qiangmin
    • 2
    • 3
  1. 1.China Coal Research InstituteBeijingChina
  2. 2.Xi’an Research Institute of China Coal Technology & Engineering Group CorpXi’anChina
  3. 3.Key Laboratory of Coal Mine Water Hazard Prevention and Control Technology in Shaanxi ProvinceXi’anChina

Personalised recommendations