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Mathematical Geosciences

, Volume 45, Issue 5, pp 575–590 | Cite as

Geostatistical Data Integration Model for Contamination Assessment

  • Ana Horta
  • Pedro Correia
  • Luís Menezes Pinheiro
  • Amílcar Soares
Special Issue

Abstract

Soil contamination assessments can be improved with new methods aimed at the accurate estimation of the volume and extension of contaminated soil to be remediated. Geostatistical models that use secondary information to characterize soil contamination are incorporated into a new integration model to provide accurate three-dimensional maps. The proposed integration model is based on a stochastic inversion approach and uses sequential indicator simulation. A two-dimensional reference image representing the areal extension of the contamination is combined with local measurements of contamination in the vertical direction, to render a three-dimensional contamination map. To demonstrate how well the integration model performs, the case study presented focuses on geophysical data and how it can be integrated with soil contamination measurements to improve the characterization of a contaminated site. The results show that the model reproduces successfully the reference image thus providing an accurate three-dimensional contamination map.

Keywords

Data integration Contamination assessment Indicator simulation Stochastic inversion 

Notes

Acknowledgements

This work was possible due to the financial support of the Portuguese Foundation for Science and Technology (FCT) through the postdoctoral scholarship SFRH/BPD/70315/2010.

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Copyright information

© International Association for Mathematical Geosciences 2013

Authors and Affiliations

  • Ana Horta
    • 1
  • Pedro Correia
    • 2
  • Luís Menezes Pinheiro
    • 1
  • Amílcar Soares
    • 2
  1. 1.Centre for Environmental and Marine StudiesUniversity of AveiroAveiroPortugal
  2. 2.Centre for Natural Resources and Environment, Instituto Superior TécnicoTechnical University of LisbonLisbonPortugal

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