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

XU Bin; ZHANG Yan; JIANG Ling

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

更新时间：2026-06-25

- Coupled model based on grey relational analysis and stepwise discriminant analysis for water source identification of mine water inrush
- Vol. 33, Issue 10, (2012)
- 作者机构：
  
  1. 长安大学地球科学与资源学院,西安,710054
  2. 长安大学环境科学与工程学院,西安,710054
- 作者简介：
- 基金信息：
- DOI：
  CLC： TD741
- Online First：19 October 2012，
  
  Published：2012
- 稿件说明：
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XU Bin, ZHANG Yan, JIANG Ling. Coupled model based on grey relational analysis and stepwise discriminant analysis for water source identification of mine water inrush[J]. 2012, 33(10).
DOI：

XU Bin, ZHANG Yan, JIANG Ling. Coupled model based on grey relational analysis and stepwise discriminant analysis for water source identification of mine water inrush[J]. 2012, 33(10). DOI：

摘要

选取矿井涌水水源判别中常用的灰色关联分析和逐步判别分析作为基础模型，分析了两者的优缺点及单独使用中存在的问题，提出耦合判别思路，设计了GRA-SDA耦合式水源判别模型。利用某矿区实际样本数据，选取Na++K+、Ca2+、Mg2+、Cl-、SO42-、HCO3-共6组离子以及矿化度作为判别因子，对该模型进行实例验证。分析表明，该模型判别结果与实际情况吻合较好，与单独使用一种分析方法相比较，有效地提高了水源判别正确率。

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.

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