Application of Grey Relational Analysis in Hydrochemical Composition Characteristics of Shallow Groundwater in Poyang Lake Area

Abstract:

Based on water quality testing data of shallow groundwater samples from 16 different locations in the area around Poyang Lake, the analysis methods of grey relational analysis combine with correlation analysis are used to analyze the relevancy of several ions with total hardness, conductivity and mineralization in shallow groundwater. Moreover, the study also includes a discussion of the causes. Results show that, compared with Mg²⁺, Ca²⁺ shows a better correlation with total hardness, the correlation coefficient is 0.711; the correlation of SO₄^2- and HCO₃^- with conductivity are as high as 0.973 and 0.925, respectively; SO₄^2- shows the best correlation with mineralization among seven-ions with a correlation coefficient of 0.970. Total hardness is mainly influenced by Ca²⁺ in shallow groundwater; SO₄^2- and HCO₃^- are main factors which influence conductivity; SO₄^2- has significant influence on mineralization. According to the cause analysis, the dissolve of carbonates, the weathering and hydrolysis of calcium-containing minerals in magmatic rocks and metamorphic rocks are the main sources of Ca²⁺ and HCO ₃^- ; SO₄^2- content is closely related to accumulation of waste rock, burning of coal and strong rainfall in south China.

• Periodical: Advanced Materials Research (Volumes 356-360)
• Pages: 641-646
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.356-360.641
• Online since: October 2011
• Authors: Wen Bin Zhou, Chun Hua Hu, Nan Fang Zhao, Pei Zhang, Qian Lou
• Keywords: Grey Relational Analysis (GRA), Ground Water, Hydrochemistry, Poyang Lake Area

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