Mathematical Geology

, Volume 30, Issue 2, pp 129–161 | Cite as

Application of Correspondence Analysis in the Assessment of Groundwater Chemistry

  • Fernando António Leal Pacheco
Article

Abstract

Correspondence Analysis (CA) was used to determine the sources and processes that may explain the variation observed in datasets of groundwater analyses. The following method was adopted: (1) based on the observation of “sympathies” and “antipathies” between loadings signs, correspondence factors were represented by parameters with some pertinent geochemical meaning: (2) the relation between factors and parameters then was checked by Multiple Linear Regression (MLR) where factors acted as independent variables and parameters as dependent variables. Sample scores of the selected parameters gave the ability to separate polluted from nonpolluted waters, identify areas where pollution is dominated by agriculture and areas where contamination is controlled by domestic effluents, and describe weathering and agricultural activities in the sampled area. The practical example presented here anticipates the impact of agriculture and urban pollution on the chemistry of 160 water samples collected in a granitoid area at central Portugal (Fundão).

correspondence analysis multiple linear regression hydrogeochemistry weathering pollution 

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Copyright information

© International Association for Mathematical Geology 1998

Authors and Affiliations

  • Fernando António Leal Pacheco
    • 1
  1. 1.Department of GeologyTrás-os-Montes e Alto Douro UniversityVila RealPortugal

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