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Multivariate statistical analysis of precipitation chemistry in northwestern Spain

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Abstract

149 samples of rainwater were collected in the proximity of a power station in northwestern Spain at three rainwater monitoring stations. We analyze the resulting data using multivariate statistical techniques. Firstly, the Principal Component Analysis shows that there are three main sources of pollution in the area (a marine source, a rural source and an acid source). The impact from pollution from these sources on the immediate environment of the stations is studied using Factorial Discriminant Analysis.

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Authors and Affiliations

  1. Department of Statistics and Operations Research, Faculty of Mathematics, University of Santiago, 15771, Santiago, Spain

    J. M. Prada-Sanchez, I. Garcia-Jurado & W. Gonzalez-Manteiga

  2. Laboratory, As Pontes power station, As Pontes, La Coruña, Spain

    M. G. Fiestras-Janeiro, M. I. Espada-Rios & T. Lucas-Dominguez

Authors
  1. J. M. Prada-Sanchez
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  2. I. Garcia-Jurado
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  3. W. Gonzalez-Manteiga
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  4. M. G. Fiestras-Janeiro
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  5. M. I. Espada-Rios
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  6. T. Lucas-Dominguez
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Prada-Sanchez, J.M., Garcia-Jurado, I., Gonzalez-Manteiga, W. et al. Multivariate statistical analysis of precipitation chemistry in northwestern Spain. Water Air Soil Pollut 69, 37–55 (1993). https://doi.org/10.1007/BF00478346

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  • DOI: https://doi.org/10.1007/BF00478346

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