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http://dx.doi.org/10.5762/KAIS.2020.21.10.393

Cross-Validation of SPT-N Values in Pohang Ground Using Geostatistics and Surface Wave Multi-Channel Analysis  

Kim, Kyung-Oh (Department of Civil Engineering, Kumoh Institute of Technology)
Han, Heui-Soo (Department of Civil Engineering, Kumoh Institute of Technology)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.10, 2020 , pp. 393-405 More about this Journal
Abstract
Various geotechnical information is required to evaluate the stability of the ground and a foundation once liquefaction occurs due to earthquakes, such as the soil strength and groundwater level. The results of the Standard Penetration Test (SPT) conducted in Korea are registered in the National Geotechnical Information Portal System. If geotechnical information for a non-drilled area is needed, geostatistics can be applied. This paper is about the feasibility of obtaining ground information by the Empirical Bayesian Kriging (EBK) method and the Inverse Distance Weighting Method (IDWM). Esri's ArcGIS Pro program was used to estimate these techniques. The soil strength parameter of the drilling area and the level of groundwater obtained from the standard penetration test were cross-validated with the results of the analysis technique. In addition, Multichannel Analysis of Surface Waves (MASW) was conducted to verify the techniques used in the analysis. The Buk-gu area of Pohang was divided into 1.0 km×1.0 km and 110 zones. The cross-validation for the SPT N value and groundwater level through EBK and IDWM showed that both techniques were suitable. MASW presented an approximate section area, making it difficult to clearly grasp the distribution pattern and groundwater level of the SPT N value.
Keywords
Empirical Bayesian Kriging; Inverse Distance Weighting Method; Multichannel Analysis Of Surface Waves; SPT N Value; Groundwater Level;
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Times Cited By KSCI : 6  (Citation Analysis)
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1 B. J. Kang, B. S. Hwang, H. S. Kim, W. J. Cho, "Soil Depth Information DB Construction Methods for Liquefaction Assessment", Journal of the Korean Geo-Environmental Society, Vol. 20, No. 3, pp.39-46, 2019. DOI:http://dx.doi.org/10.14481/jkges.2019.20.3.39
2 J. K. Kim, J. T. Han, G. H. Park, S. M. Suk, "Development of Liquefaction Hazard Mapping Methods Integrated with 3D Building Model", The Korean Society for Geo-Spatial Information System, Vol. 2019, No. 11, pp.187-190, 2019.
3 J. K. Choi, Geostatistics, p.419, Sigma press, 2013, pp.138-144
4 E. H. Isasaks, R. M. Srivastava, "Applied Geostatistics", p.561, Oxford University Press, 1989, pp.102-117
5 K. krivoruchko, Empirical Bayesian Kriging, ESRI, 2012, https://www.esri.com/news/arcuser/1012/empirical-byesian-kriging.html [cited 2018 October]
6 G. Matheron, Principles of geostatistics, Economic geology, Vol. 58, No. 8, pp.1248-1266, 1963, DOI: https://dx.doi.org/10.2113/gsecongeo.58.8.1246   DOI
7 D. Shepard, A two-dimensional interpolation function for irregularly-spaced data, In Proceedings of the 1968 23rda ACM national conference, New York, USA pp. 517-524. DOI: https://doi.org/10.1145/800186.810616
8 Ministry of Land, Infrastructure and Transport, KDS 17 00 00 Seismic design in general, Korea Construction Standards Center, Korea, pp.52-68
9 H, J Lee, Prediction of Geochemical Characteristics for Groundwaters in Boseong Area using GIS, Ph.D dissertaion, Chonnam National University Graduate School, pp.27-38, 2009.
10 K. B. Jung, A Study on the Engineering Characteristics Behavior of Mudstone in Pohang Area, Ph.D dissertation, Yeungnam University Graduate School,. pp.32-43, 2006
11 C. W. Hong, Optimal estimation of geostatistical distribution of rock mass rating using genetic algorithm, Ph.D dissertaion, Graduate School of Seoul National University, pp.48-52, 2006
12 J. K. Park, J. S. Lee. " Forest Information Mapping using GIS and Forest Basic Statistics", Korea Academia-Industrial cooperation Society, Vol. 19, No. 8, pp.370-377, 2018.
13 Y. J. Noh. (2016). "A Comparison Study on Statistical Modeling Methods", Korea Academia-Industrial cooperation Society, Vol. 17, No. 5, pp.645-652. 2016.   DOI