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Identification model of water inrush source based on statistical analysis in Fengyu minefield, Northwest China

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Abstract

Rapid and effective identification of water inrush source is an important guarantee for mine safety production. Hydrogeochemical theory has been applied in coal mining and water prevention and control, but its application scale and coverage are limited. The main reason is that the existing research is mostly based on conventional hydrochemical indicators, and less applied in trace elements and environmental isotopes. In order to explore the evolution mechanism of water inrush in well field and realize the accurate identification of water inrush source, this paper takes Fengyu well field in Shuozhou City, Shanxi Province, China, as the research object. Based on the test results of conventional hydrochemistry, trace elements, and environmental isotope indexes of each aquifer, the hydrogeochemical distribution and evolution law of each aquifer in a minefield are analyzed. Combined with cluster analysis, principal component analysis, and Bayesian stepwise linear discriminant method, the discrimination model of mine water inrush source is established. The results show that, with the gradual increase of aquifer depth, the total dissolved solids (TDS) of water samples showed a decreasing trend; HCO3 is dominant in all aquifers, which may be the result of mixing after water inrush in each aquifer; the content of trace elements in underground aquifer of minefield can be summarized as three principal components of groundwater overflow, river recharge, and dissolution. The distribution of Shanxi water, Taiyuan water, and Ordovician water conforms to the height effect and temperature effect; the established discrimination model of water inrush source in minefield can effectively discriminate water inrush source. The calculation process is simple and the model structure is stable, which is worthy of promotion and application. The research results can provide a scientific basis for the development of water control measures (draining, depressurization, and plugging) in minefields.

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Abbreviations

O2m :

Middle Ordovician karst fractured aquifer group

C3t :

Taiyuan group sandstone and fractured aquifer group

P1s :

Shanxi group sandstone fractured aquifer group

Kz :

Cenozoic pore aquifer group

C2b :

Benxi Water-Resistant Group

P1x :

Lower Shihezi Water-Resistant Group

CW:

Cenozoic water

SW:

Shanxi group water

TW:

Taiyuan water

OW:

Ordovician water

HW:

Huihe river water sample

RW:

Rain sample

18O:

Oxygen

D :

Deuterium

T :

Tritium

δD:

The thousandth deviation value of deuterium

δ 18O:

The thousandth deviation value of 18O

TCC:

The total cation

TCA:

The total anion

δ :

The thousandth deviation

R :

The isotope ratio of the sample to be tested

R s :

The isotope ratio of reference standard

X i :

Concentration of element i

γ i :

Principal component

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Acknowledgements

We sincerely thank the anonymous reviewers for their time and effort devoted to improving the manuscript.

Availability of data and material

All data supporting the findings in this study are available from the corresponding author on reasonable request.

Code availability

Not applicable.

Funding

This research was supported by the project “Compilation of 1:200,000 Comprehensive Hydrogeological Map and Spatial Hydrogeological Information System in Xinzhou City, Shanxi Province.”

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Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation and data collection were performed by Jun Gao, Chengya Hua, and Qihang Ni. Formal analysis and investigation were performed by Leihua Yao and Chenguang Song. The first draft of the manuscript was written by Chenguang Song and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Chenguang Song.

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Conflict of interest

The authors declare that they have no competing interests.

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Responsible Editor: Broder J. Merkel

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Song, C., Yao, L., Gao, J. et al. Identification model of water inrush source based on statistical analysis in Fengyu minefield, Northwest China. Arab J Geosci 14, 518 (2021). https://doi.org/10.1007/s12517-021-06901-1

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  • DOI: https://doi.org/10.1007/s12517-021-06901-1

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