›› 2012, Vol. 33 ›› Issue (10): 3122-3138.

• Numerical Analysis • Previous Articles     Next Articles

Coupled model based on grey relational analysis and stepwise discriminant analysis for water source identification of mine water inrush

XU Bin1, 2, ZHANG Yan3, JIANG Ling1   

  1. 1. School of Environmental Science and Engineering, Chang’an University, Xi’an 710054, China; 2. Opening Research Laboratory about Water Resources and Land Environment in Arid and Semiarid Regions of Ministry of Land Resources, Chang’an University, Xi’an 710054, China; 3. School of Earth Science and Resources, Chang’an University, Xi’an 710054, China
  • Received:2011-06-17 Online:2012-10-10 Published:2012-10-19

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Abstract: The grey relational analysis (GRA) and stepwise discriminant analysis (SDA) for water source identification of mine water inrush are selected to be basic models. The advantages and disadvantages of both models are analyzed as well as the problems of one applied alone, and the idea of coupled identification is proposed to build GRA-SDA coupled model. Six sets of ions (Na++K+, Ca2+, Mg2+, Cl-, SO42-, HCO3-) and total dissolved solid (TDS) are selected from the sample data of a mining area as discriminant factors for model verification. The analysis shows that the identified results meet the actual situation very well; and the coupled model enhances the identified accuracy efficiently compared with applying one analysis method alone.

Key words: grey relational analysis, stepwise discriminant analysis, coupled model, mine water inrush, water source identification

CLC Number: 

  • TD 741
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