|Table of Contents|

End-members Identification of Mine Water Inrush Based on Hydrochemical Data: Principal Component Analysis and Residual Analysis(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2020年第01期
Page:
132-142
Research Field:
水资源与环境
Publishing date:

Info

Title:
End-members Identification of Mine Water Inrush Based on Hydrochemical Data: Principal Component Analysis and Residual Analysis
Author(s):
GU Hong-yu1;  MA Feng-shan2;  WANG Dong-hui1;  LI Sheng-wei1*;  LIU Gang3;  XIANG Yuan-ying4;  GUO Zi-qi1
(1. Chengdu Center, China Geological Survey, Chengdu 610081, Sichuan, China; 2. Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; 3. Xi'an Center of Geological Survey, China Geological Survey, Xi'an 710054, Shaanxi, China; 4. Deyang Environmental Monitoring Center Station, Deyang 618000, Sichuan, China)
Keywords:
mine water inrush;  hydrochemistry;  principal component analysis;  residual analysis;  number of water source;  type of water source;  ion concentration
PACS:
P641.4; TD741
DOI:
10.19814/j.jese.2019.07014
Abstract:
Water inrush is a threat to mine safety, and the knowledge of water sources(end-members)identification is the foundation of prediction for potential disasters. Based on the multiple-stage hydrochemical data, a method using principal component analysis(PCA)and residual analysis was developed to identify the numbers and types of water sources. PCA can eliminate the redundancy and extract the structural information of original variables. Residual analysis is based on the results of PCA by extracting different numbers of principal components to reconstruct the ion concentrations, calculating the residual between reconstructed and measured ion concentrations, then, using the structural degree to identify the numbers and types of water sources. The results show that the accuracy is improved, and the structure of residual is eliminated with the increasing number of principal components. Using the 5 principal components can eliminate most of the structural information of main ions, and extract all the useful information in the case; meanwhile, 5 types of water sources, including seawater, Quaternary pore water, Ca-rich water, Mg-rich water and freshwater, are identified based on the different effects of each principal component to the residual and the relationships among ion concentrations.

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Last Update: 2020-01-07