Prediction of spatial distribution on soil surveying values using geostastics methods

Shinya Inazumi, Kohei Urakami, Satoru Ohtsuka, Osamu Saeki, Ken ichi Shishido

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Recently, land subsidence and liquefaction are becoming evident. But neither the countermeasure nor research technique have not been established. In order to determine the cause, more detailed comprehension of soil properties is essential; therefore, in this research new-typed Swedish sounding testing machine (the NSWS testing machine), capable of measuring more detailed physical properties of in-ground was utilized and conducted a subsurface investigation at a narrow detailed house at which land subsurface have occurred. Based on the result of the investigation presented physical properties of the in-ground in the plane manner using Kriging method, one of geostatistics methods. Also, the comparison of converted N-value measured by the NSWS and converted N-value estimated by Kriging method is presented to examine the composite capability and benefit of Kriging method and NSWS for simplified on-site verification and re-measurement for reaffirmation (diagonal measurement) in the confined detached house ground.

Original languageEnglish
Pages (from-to)1828-1833
Number of pages6
JournalInternational Journal of GEOMATE
Volume10
Issue number2
Publication statusPublished - 2016
Externally publishedYes

Fingerprint

Surveying
Spatial distribution
surveying
Physical properties
kriging
spatial distribution
Soils
prediction
Subsidence
Testing
Liquefaction
soil
physical property
physical properties
geostatistics
Composite materials
methodology
liquefaction
subsidence
soil property

Keywords

  • Disaster prevention
  • Geostatistics
  • Kriging method
  • New-typed Swedish sounding test

ASJC Scopus subject areas

  • Soil Science
  • Geotechnical Engineering and Engineering Geology
  • Building and Construction
  • Environmental Engineering

Cite this

Inazumi, S., Urakami, K., Ohtsuka, S., Saeki, O., & Shishido, K. I. (2016). Prediction of spatial distribution on soil surveying values using geostastics methods. International Journal of GEOMATE, 10(2), 1828-1833.

Prediction of spatial distribution on soil surveying values using geostastics methods. / Inazumi, Shinya; Urakami, Kohei; Ohtsuka, Satoru; Saeki, Osamu; Shishido, Ken ichi.

In: International Journal of GEOMATE, Vol. 10, No. 2, 2016, p. 1828-1833.

Research output: Contribution to journalArticle

Inazumi, S, Urakami, K, Ohtsuka, S, Saeki, O & Shishido, KI 2016, 'Prediction of spatial distribution on soil surveying values using geostastics methods', International Journal of GEOMATE, vol. 10, no. 2, pp. 1828-1833.
Inazumi, Shinya ; Urakami, Kohei ; Ohtsuka, Satoru ; Saeki, Osamu ; Shishido, Ken ichi. / Prediction of spatial distribution on soil surveying values using geostastics methods. In: International Journal of GEOMATE. 2016 ; Vol. 10, No. 2. pp. 1828-1833.
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