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Prediction analysis model for groundwater potential based on set pair analysis of a confined aquifer overlying a mining area

  • Shouqiao Shi
  • Jiuchuan WeiEmail author
  • Daolei XieEmail author
  • Huiyong Yin
  • Liyao Li
Original Paper
  • 10 Downloads

Abstract

One important prerequisite for mine water inrush prevention and water inflow control in a coal mine is groundwater potential mapping. In this study, a synthetical method was developed to evaluate the groundwater potential of a confined aquifer overlying a mining area using the improved set pair analysis (ISPA) theory. Considering the influence of the hydrogeological and geological conditions, the characteristics of rock stratum and geological tectonics were used as the two major aspects to evaluate groundwater potential. The degree of connection was determined by the relationship between the total number of element characteristics and the number of identical, contradictory, and discrepant terms. The weight of evaluation indices was calculated based on information entropy, and the grade of groundwater potential was determined by the improved evaluation criterion of set pair analysis. To validate the practicality of the method, a case study at Hongliu coal mine was carried out. An entropy-set pair analysis-cosine model was constructed and five evaluation indices were selected: sandstone thickness, flushing fluid consumption, core recovery, fault fractal dimension, and fold fractal dimension. The groundwater potential of the study area was classified into four levels. The quantitative results were validated with data from field observations and compared with the results of geographic information systems (GIS), which were found to be in very good agreement.

Keywords

Groundwater potential map Set pair analysis (SPA) Confined aquifer Connection degree 

Notes

Funding information

This research was financially supported by National Key R&D Program of China (Grant No. 2017YFC0804101) and National Natural Science Foundation of China (Grant Nos. 41402250 and 41372290) and Nature Science Foundation of Shandong Province (Grant No. ZR2015PD010) and Taishan Scholar Talent Team Support Plan for Advantaged & Unique Discipline Areas (Grant No. 0101006).

Supplementary material

12517_2019_4267_MOESM1_ESM.pdf (100 kb)
ESM 1 (PDF 100 kb)
12517_2019_4267_MOESM2_ESM.pdf (72 kb)
ESM 2 (PDF 72 kb)
12517_2019_4267_MOESM3_ESM.pdf (390 kb)
ESM 3 (PDF 389 kb)

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Copyright information

© Saudi Society for Geosciences 2019

Authors and Affiliations

  1. 1.College of Earth Sciences and EngineeringShandong University of Science and TechnologyQingdaoPeople’s Republic of China

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