Hydrogeochemical analysis of multiple aquifers in a coal mine based on nonlinear PCA and GIS

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• 作者：Lei Ma ; Jiazhong Qian ; Weidong Zhao ; Zachary Curtis…
• 关键词：Nonlinear principal component analysis (PCA) ; Hydrogeochemistry ; Groundwater ; Multiple aquifers ; Coal mining ; Inverse distance weighting (IDW)
• 刊名：Environmental Earth Sciences
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：75
• 期：8
• 全文大小：2,305 KB
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• 作者单位：Lei Ma (1)
  Jiazhong Qian (1)
  Weidong Zhao (1)
  Zachary Curtis (2)
  Ruigang Zhang (3)
  
  1. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei, China
  2. Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, USA
  3. School of Civil Engineering, Hefei University of Technology, Hefei, China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：None Assigned
• 出版者：Springer Berlin Heidelberg
• ISSN：1866-6299

文摘

Hydrogeochemical characteristic analysis of multiple categorical aquifers, including the delineation of hydrogeochemical spatial distributions, can provide a basic understanding of the groundwater flow system necessary for the prevention and control of groundwater damage associated with coal mines. Nonlinear principal component analysis (PCA) was used to analyse the groundwater chemical characteristics of water samples from five aquifers in Gubei Coal Mine, Anhui Province, China. In particular, Ca2+, Mg2+, Na+ + K+, HCO₃ −, Cl−, SO₄ 2−, and pH were analysed. To analyse the spatial distribution of groundwater chemistry in this Permian fractured aquifer, interpolation of principal component 1 (PC1) scores obtained from the nonlinear PCA was performed using the inverse distance weighting (IDW) method. Additionally, concentrations of the hydrogeochemical variables were plotted against depth. The relationships between water samples, variables, and water samples with variables were simultaneously analysed by nonlinear PCA. The results show: (1) nonlinear PCA explains more variability than standard PCA in the first two principal components (PCs); (2) the Cenozoic top aquifer has low concentrations of Na+ + K+ and Cl−; the Cenozoic middle aquifer and Cenozoic bottom aquifer are characterised by high concentrations of Ca2+ and Mg2+ and low concentrations of HCO₃ −; the shallow groundwater of the Permian fractured aquifer is recharged by the Cenozoic bottom aquifer, while other parts have high concentrations of HCO₃ − and low concentrations of Ca2+ and Mg2+. The Taiyuan limestone aquifer has similar groundwater chemistry to that of the Cenozoic bottom aquifer, and thus it may be recharged by the Cenozoic bottom aquifer in outcropping Taiyuan Formation strata; (3) the wide south-western and north-western areas of the Permian fractured aquifer may be recharged by the Cenozoic bottom aquifer; and (4) concentrations of Ca2+ and Mg2+ in the Permian fractured aquifer are negatively correlated with sampling depth, while the concentrations of Na+ + K+ and HCO₃ − are positively correlated with sampling depth, which verifies that the shallow groundwater of this Permian fractured aquifer is recharged by the Cenozoic bottom aquifer. The findings demonstrate that combining nonlinear PCA with GIS can be a powerful approach for conducting spatial nonlinear analysis of hydrogeochemical characteristics.