Source identification of mine water inrush: a discussion on the application of hydrochemical method
- 15 Downloads
This paper presents an investigation on source identification of mine water inrush using a geochemical technique. The hydrogeochemistry characteristics can reflect water–rock interaction processes; therefore, the results of hydrochemical analysis could indicate the groundwater occurrence. Although hydrochemical analysis has been reviewed in previous studies, the selection of the evaluation index and the choice of units have seldom been studied. Statistical methods, hierarchical cluster analysis (HCA) and principal component analysis (PCA), were used for analysis by SPSS 21.0. Piper, Durov, and Stiff diagrams were used to identify the four types of water sources. Four types of water samples were used to perform this research, and the major purpose of the present research is to examine the results obtained under different conditions. The results show that the situations arising from the selection of different identification indices, units, and identification methods can lead to great differences. The results are as follows: The selection of trace ions for identification indices can largely affect the discriminant results. In this study, identification results with fewer indicators are poor than results with more indicators as a whole. The unit milliequivalents per liter (mEq/L) is not useful for better identification results according to this study. The data is appropriate for PCA (the Kaiser–Meyer–Olkin measure of sampling adequacy is > 0.5, and the significance value for Bartlett’s test is < 0.01), but its application to reduce dimensions cannot work under all conditions.
KeywordsSource identification Hydrochemical analysis Hydrogeochemistry characteristics Principal component analysis (PCA) Mine water
The authors thank the editors and the two anonymous reviewers for their careful work and thoughtful suggestions.
We gratefully acknowledge the financial support of the National Natural Science Foundation of China (41572244) and the Taishan Scholars Construction Projects.
- Aravena R, Evans ML, Cherry JA (1993) Stable isotopes of oxygen and nitrogen in source identification of nitrate from septic systems. Groundwater 31(2):180–186. https://doi.org/10.1111/j.1745-6584.1993.tb01809.x CrossRefGoogle Scholar
- Cetin M, Sevik H, Saat A (2017) Indoor air quality: the samples of Safranbolu Bulak Mencilis Cave. Fresenius Environ Bull 26(10):5965–5970Google Scholar
- Dinka MO, Loiskandl W, Ndambuki JM (2015) Hydrochemical characterization of various surface water and groundwater resources available in Matahara areas, Fantalle Woreda of Oromiya region. J Hydrol: Reg Stud 3:444–456Google Scholar
- Lu JT, Li XB, Gong FQ et al (2012) Recognizing of mine water inrush sources based on principal components analysis and fisher discrimination analysis method (in Chinese). China Safety Sci J 22(7):109–115Google Scholar
- Oh S, Hildreth AJ (2016) Pattern-based energy consumption analysis by chaining principle component analysis and logistic regression. In: Oh S, Hildreth AJ (eds) Analytics for smart energy management: tools and applications for sustainable manufacturing. Springer International, Cham, pp 137–177CrossRefGoogle Scholar
- Piper AM (1944) A graphic procedure in the geochemical interpretation of water-analyses. Eos Transactions American Geophysical Union 25(6):27–39Google Scholar
- Sevik H, Ahmaida EA, Cetin M (2017) Chapter 31: Change of the air quality in the urban open and green spaces: Kastamonu sample. In: Koleva I, Yuksel UD, Benaabidate L (eds) Ecology, planning and design. St. Kliment Ohridski University Press, ISBN: 978-954-07-4270-0, pp 409–422Google Scholar
- Tallini M, Adinolfi Falcone R, Carucci V, Falgiani A, Parisse B, Petitta M (2014) Isotope hydrology and geochemical modeling: new insights into the recharge processes and water-rock interactions of a fissured carbonate aquifer (Gran Sasso, Central Italy). Environ Earth Sci 72(12):4957–4971. https://doi.org/10.1007/s12665-014-3364-9 CrossRefGoogle Scholar
- Wen T, Zhang B, Shao L (2014) Research on prediction of mine water inrush source identification——Xinzhuangzi coalfield as an example. China Saf Sci J 24(2):100–106 (in Chinese)Google Scholar
- Wolkersdorfer C (2008) Hydrogeochemistry of mine water. Water management at abandoned flooded underground mines: fundamentals, tracer tests, modelling, water treatment. Springer Berlin Heidelberg, Berlin, pp 9–36Google Scholar
- Wu Q, Mu WP, Xing Y, Qian C, Shen J, Wang Y, Zhao D (2017) Source discrimination of mine water inrush using multiple methods: a case study from the Beiyangzhuang Mine, Northern China. Bull Eng Geol Environ 1–14 https://doi.org/10.1007/s10064-017-1194-1
- Yang QC, Li ZJ, Ma HY, Wang L, Martín JD (2016a) Identification of the hydrogeochemical processes and assessment of groundwater quality using classic integrated geochemical methods in the southeastern part of Ordos Basin, China. Environ Pollut 218:879–888. https://doi.org/10.1016/j.envpol.2016.08.017 CrossRefGoogle Scholar
- Zhou J, Shi XZ, Wang HY (2010) Water-bursting source determination of mine based on distance discriminant analysis model. J China Coal Soc 35(2):278–282 (in Chinese)Google Scholar