22. Combining Isotopic and Compositional Data: A Discrimination of Regions Prone to Nitrate Pollution

  1. Vera Pawlowsky-Glahn4 and
  2. Antonella Buccianti5
  1. Roger Puig1,
  2. Raimon Tolosana-Delgado2,
  3. Neus Otero1 and
  4. Albert Folch3

Published Online: 28 JUL 2011

DOI: 10.1002/9781119976462.ch22

Compositional Data Analysis: Theory and Applications

Compositional Data Analysis: Theory and Applications

How to Cite

Puig, R., Tolosana-Delgado, R., Otero, N. and Folch, A. (2011) Combining Isotopic and Compositional Data: A Discrimination of Regions Prone to Nitrate Pollution, in Compositional Data Analysis: Theory and Applications (eds V. Pawlowsky-Glahn and A. Buccianti), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119976462.ch22

Editor Information

  1. 4

    Department of Computer Science and Applied Mathematics, University of Girona, Spain

  2. 5

    Department of Earth Sciences, University of Florence, Italy

Author Information

  1. 1

    Faculty of Geology, University of Barcelona (UB), Spain

  2. 2

    Maritime Engineering Laboratory, Technical University of Catalonia (LIM-UPC), Spain

  3. 3

    Deparment of Geology, Autonomous University of Barcelona, Spain

Publication History

  1. Published Online: 28 JUL 2011
  2. Published Print: 23 SEP 2011

ISBN Information

Print ISBN: 9780470711354

Online ISBN: 9781119976462

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Keywords:

  • combining isotopic and compositional data - discrimination of regions, prone to nitrate pollution;
  • nitrate pollution, major threat to groundwater quality - threshold value for drinking water;
  • nitrate pollution, linked to intensive use - of synthetic and organic fertilizers;
  • improving water management - origin of pollution;
  • Maresme vulnerable zone - geology of area, of Holocene alluvial deposits;
  • analytical methods - sampling surveys, conducted on production wells;
  • statistical treatment - data scaling, before any statistical analysis being done;
  • LDA reclassification table - with each set of data, percentage of correct reclassification;
  • statistical methodology, applied to geochemical - and isotope data set of five vulnerable zones

Summary

This chapter contains sections titled:

  • Introduction

  • Study Area

  • Analytical Methods

  • Statistical Treatment

  • Results and Discussion

  • Conclusions

  • Acknowledgements

  • References