PROBABILISTIC POTENTIOMETRIC SURFACE MAPPING

A theoretically consistent method to estimate the spatial variation of potentiometric surfaces is described. An example of how to select the best estimation method when a number of theoretically consistent methods to estimate spatial variation are available, is described. The method uses a nonstationary component to model the global systematic change and stationarry stochastic component to model the local systematic change of the spatial variation of potentiometric data. It is shown that the stationary stochastic portion improves the accuracy of the estimation model.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/07339410
• Corporate Authors:

  American Society of Civil Engineers

  345 East 47th Street
  New York, NY  United States  10017-2398
• Authors:
  • Kulatilake, PHSW
• Publication Date: 1989-11

Media Info

• Features: Appendices; Figures; References; Tables;
• Pagination: p. 1569-87
• Serial:
  • Journal of Geotechnical Engineering
  • Volume: 115
  • Issue Number: 11
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-9410

Subject/Index Terms

• TRT Terms: Accuracy; Mapping; Mathematical models; Potentiometers; Probability; Stochastic processes
• Uncontrolled Terms: Models; Probabilistic analysis
• Subject Areas: Data and Information Technology; Geotechnology; Highways; I42: Soil Mechanics;

Filing Info

• Accession Number: 00490772
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 31 1990 12:00AM