Quantification of spatial uncertainty in secondary compression of reclaimed land using a simulated geologic profile

Dongwoo Ryu, Donghee Kim, Woojin Lee, Hyungmok Kim

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Spatial estimation of the thickness and the depth of a geological profile have been regarded as an important procedure for design on soft ground. The minimum variance criterion, which has often been used in traditional kriging techniques, does not always guarantee optimal estimates for the decision-making process in geotechnical engineering. In this study, we used a geostatistical simulation framework to determine the optimal thickness of the consolidation layer and the optimal area in which the magnitude of the secondary compression exceeds a design criterion via a sequential indicator simulation (SIS) and a loss function. We applied the geostatistical simulation to one newly constructed reclaimed land in Korea, and showed that our optimal estimates of the secondary compression, in which the loss function applies a greater penalty for underestimation, were larger than those of the E-type estimates. The design procedure and method presented in this paper can be useful in the decision-making for similar geotechnical engineering designs because the expected loss during the estimation is minimized.

Original languageEnglish
Pages (from-to)1-9
Number of pages9
JournalEngineering Geology
Publication statusPublished - 2013 Mar 14

Bibliographical note

Funding Information:
This paper was supported by the Basic Research Project of the Korea Institute of Geoscience and Mineral Resources (KIGAM) ( GP2012-001 ) funded by the Ministry of Science and Technology of Korea and was also supported by a POSCO E&C grant.

Copyright 2013 Elsevier B.V., All rights reserved.


  • Geostatistical simulation
  • Loss function
  • Secondary compression
  • Sequential indicator simulation
  • Spatial uncertainty

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geology


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