Skip to main content

A Geostatistical Approach to the Modelling of a Piezometric Field

  • Conference paper
Geostatistics

Part of the book series: Quantitative Geology and Geostatistics ((QGAG,volume 4))

  • 806 Accesses

Abstract

Two problems related to a groundwater study are faced in this paper: mapping piezometric values and forecasting the aquifer behaviuor. To solve the first problem, a new geostatistical methodology is proposed based on a standard geostatistical structural analysis and the automatic fitting of the generalised covariance model. For forecasting, a geostatistical approach based on ordinary and disjunctive cokriging has been developed to solve two basic problems: infilling the piezometric time series at unsampled points and prediction to take account of the time dependence between rainfall and piezometriy.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Aboufirassi, M. and Marino, M., 1984. ‘Cokriging of aquifer transmissivities from field measurements of transmissivity and specific capacity’, J.Math.Geol. 16(1): 19–35.

    Google Scholar 

  • Ahmed, S. and Marsily, G., 1987 ‘Comparison of geostatistical methods for estimating transmissivity using data on transmissivity and specific capacity’, Water Resour.Res.,23 (9): 1717–1737.

    Google Scholar 

  • Delhomme, J.P., 1976. ‘Application de la théorie des variables regionalisées dans les sciences de l’eau’. Ph.D.thesis, Ecole des Mines de Paris, Fontainebleau, France.

    Google Scholar 

  • Hoeksema, R. and Clapp, R., 1987. ‘Estimating water table elevations using cokriging’ poster session, A.G.U. Fall Meeting, San Francisco, EOS 68 (44): 1265.

    Google Scholar 

  • Kitanidis, P. and Vomvoris, 1983. ‘A geostatistical approach to the inverse problem in groundwater modelling (steady state and one dimensional simulations)’, Water Resour.Res. 19(3): 677–690.

    Google Scholar 

  • Matheron, G., 1970. ‘La théorie des variables régionalisées et ses applications’. Les Cahiers du C.M.M., fasc. 5.

    Google Scholar 

  • Muge, F. and Cabeçadas, G., 1988. ‘A geostatistical approach to eutrophication modelling’ In: Proceedings of the 3rd International Geostatistical Congress, Avignon, France.

    Google Scholar 

  • Myers, D., 1982. ‘Matrix formulation of cokriging’. J.Math.Geol. 14(3): 149–57.

    Google Scholar 

  • Neuman, S.P., 1984. ‘Role of geostatistics in subsurface hydrology“. Geostatistics for Natural Resources Characterization. Part 2, Nato ASI Series, 787–816, Reidel, Dordrecht, The Netherlands.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Ribeiro, L.T., Muge, F.H. (1989). A Geostatistical Approach to the Modelling of a Piezometric Field. In: Armstrong, M. (eds) Geostatistics. Quantitative Geology and Geostatistics, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-6844-9_51

Download citation

  • DOI: https://doi.org/10.1007/978-94-015-6844-9_51

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-015-6846-3

  • Online ISBN: 978-94-015-6844-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics