Spatial visualisation method for hydrogeochemical data – case: Olkiluoto geochemistry

Sami Partamies, Ari Luukkonen, Petteri Pitkänen

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

    Abstract

    In the long-term safety assessment of a final repository, hydrogeochemistry is one of the principal evaluation tools. Posiva Oy excavates in Olkiluoto, Finland an underground research laboratory (ONKALO) for enhancing the current geoscientific understanding of the site. The need to study the hydrogeochemical features is not inevitable only in the stable undisturbed (pre-excavational) conditions but also in the disturbed system caused by the construction activities and open-tunnel conditions of the ONKALO. The 3-D approach is based on integrating the independently and separately developed and interpreted structural model and the results from the geochemical mixing calculations of the groundwater samples. The core procedure of the method is implemented in an undisturbed conditions by using a linear regression. The 3-D method is not only a tool for visualising the hydrogeochemical conditions but also a tool for estimating the possible groundwater sample characteristics at any arbitrary point.
    Original languageEnglish
    Title of host publicationThe 26th Nordic Geological Winter Meeting: Abstract Volume
    Publication statusPublished - 2004
    MoE publication typeNot Eligible
    Event26th Nordic Geological Winter Meeting - Uppsala, Sweden
    Duration: 6 Jan 20049 Jan 2004

    Publication series

    SeriesGFF
    Number1
    Volume126
    ISSN1103-5897

    Conference

    Conference26th Nordic Geological Winter Meeting
    CountrySweden
    CityUppsala
    Period6/01/049/01/04

    Keywords

    • Sparse data set
    • 3-D model
    • visualisation
    • water type
    • hydrogeochemistry
    • Olkiluoto

    Fingerprint Dive into the research topics of 'Spatial visualisation method for hydrogeochemical data – case: Olkiluoto geochemistry'. Together they form a unique fingerprint.

  • Cite this

    Partamies, S., Luukkonen, A., & Pitkänen, P. (2004). Spatial visualisation method for hydrogeochemical data – case: Olkiluoto geochemistry. In The 26th Nordic Geological Winter Meeting: Abstract Volume [176] GFF, No. 1, Vol.. 126