Meeting the future demands for borehole data and hydraulic heads

Susie Mielby, Claus Ditlefsen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingspeer-review

1 Citation (Scopus)

Abstract

Borehole data and hydraulic heads are some of the most important data in groundwater modelling, and they are often treated as if they were 100% correct. They may not be, and the problems arising from that are often neglected or not fully recognized. The result may be that comprehensive and time consuming modelling is built on erroneous data which in the end may lead to uncertain or wrong conclusions. Therefore, it is important to recognize the errors attributed to both the primary borehole data and to the hydraulic heads before using the data, both for simple assessments and for more complex modelling. Since a number of different participants are involved in the data sampling, it is important to have precise and generally accepted guidelines for the collection and storing of data in order to meet the future demands for reliable data for geological models, groundwater models, etc. The present work describes a methodology to evaluate the quality of borehole and sounding data. It focuses on the importance of checking reference levels and time series, and it offers a way to select the best data for water table maps and for future monitoring programmes. We believe that this methodology can also be applied to selecting the best data for groundwater modelling, etc.

Original languageEnglish
Title of host publicationCalibration and Reliability in Groundwater Modelling: Credibility of Modelling
Subtitle of host publicationProceedings of ModelCARE 2007 Conference, held in Denmark, September 2007
EditorsJ.C. Refsgaard, K. Kovar, E. Haarder, E. Nygaard
PublisherInternational Association of Hydrological Sciences
Pages142-147
Number of pages6
ISBN (Print)9781901502497
Publication statusPublished - 2008

Publication series

NameIAHS Publication
PublisherIAHS Press
Volume320

Keywords

  • Borehole data
  • Data quality
  • GIS application
  • Hydraulic head
  • Time series
  • Water table maps

Programme Area

  • Programme Area 2: Water Resources

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