Research Article

GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar

Volume: 11 Number: 1 June 9, 2026
EN

GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar

Abstract

The objective of this study is to calculate the corrected standard penetration number (SPT-Nc) and generate SPT-Nc thematic maps using the best-fitting semi-variogram model. The study is based on 79 standard penetration tests (SPTs) carried out at five SPT measurements per test on each borehole, at depths of 3 m, 6 m, 9 m, 12 m, and ~15 m from the ground surface. A number of factors, such as density, GW table, and overburden pressure, in addition to other correction factors, were introduced to obtain SPT-Nc values. The SPT-Nc at each depth was then computed with Microsoft Excel. Maps obtained as a result of this procedure were subjected to GIS-based thematic maps; for each map a different color was used to indicate the value of SPT-Nc. Maps were generated using ordinary kriging interpolation and tested with six semi-variogram models to find the best-fitting model. Among the six models, the stable, k-bessel and Gaussian semi-variogram models were selected for having the least nugget-to-sill ratio. Since underground consists of clay soil at shallow depths, SPT-Nc was less than 24 and 32 at 3 m and 6 m, respectively. At a depth of 9 m, SPT-Nc ranged from 21 to 35, covering 70.23% of the area measured. At a depth of 12 m, SPT-Nc reached a maximum of 47 due to the decrease in clay content. The greatest values were recorded at 15 m, with 82.6% of the area with SPT-Nc between 38 and 51.

Keywords

References

  1. [1] Baker, R. (1984). Modeling soil variability as a random field. Journal of the International Association for Mathematical Geology, 16(5), 435-448. https://doi.org/10.1007/BF01886325
  2. [2] ASTM D1586. (2011). Standard test method for standard penetration test (SPT) and split-barrel sampling of soils. ASTM International, West Conshohocken, PA.
  3. [3] Decourt, L. (1989). The standard penetration test, state-of-the-art report. Proc. 12th ICSMFE, Rio De Janeiro, 4, 2405-2416.
  4. [4] Liao, S. S., & Whitman, R. V. (1986). Overburden correction factors for SPT in sand. Journal of geotechnical engineering, 112(3), 373-377. https://doi.org/10.1061/(ASCE)0733-9410(1986)112:3(373)
  5. [5] Ghafghazi, M., DeJong, J. T., Sturm, A. P., & Temple, C. E. (2017). Instrumented Becker penetration test. II: iBPT-SPT correlation for characterization and liquefaction assessment of gravelly soils. Journal of Geotechnical and Geoenvironmental Engineering, 143(9), 04017063. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001718
  6. [6] Rahman, M. M., Hossain, M. B., & Roknuzzaman, M. (2023, April). Effect of peak ground acceleration (PGA) on liquefaction behavior of subsoil: A case study of Dinajpur Sadar Upazila, Bangladesh. In American Institute of Physics Conference Series (Vol. 2713, No. 1, p. 030002). https://doi.org/10.1063/5.0129770
  7. [7] Hossain, M. B., Roknuzzaman, M., & Rahman, M. M. (2022). Liquefaction potential evaluation by deterministic and probabilistic approaches. Civil Engineering Journal, 8(7), 1459-1481. http://dx.doi.org/10.28991/CEJ-2022-08-07-010
  8. [8] Rahman, M. M., Thakur, S., Ahmed, S. T., & Yasmin, R. (2025). GIS-based development of liquefaction hazard and soil distribution maps for Dinajpur Sadar, Bangladesh. International Journal of Engineering and Geosciences, 11(2), 263-273. https://doi.org/10.26833/ijeg.1662672

Details

Primary Language

English

Subjects

Geographical Information Systems (GIS) in Planning

Journal Section

Research Article

Early Pub Date

April 3, 2026

Publication Date

June 9, 2026

Submission Date

December 12, 2025

Acceptance Date

April 3, 2026

Published in Issue

Year 2026 Volume: 11 Number: 1

APA
Rahman, M. M., Alam, M. N., & Sarder, M. (2026). GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar. International Journal of Engineering Technologies IJET, 11(1), 1-16. https://doi.org/10.19072/ijet.1840805
AMA
1.Rahman MM, Alam MN, Sarder M. GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar. IJET. 2026;11(1):1-16. doi:10.19072/ijet.1840805
Chicago
Rahman, Md Mahabub, Md. Nur Alam, and Maharullah Sarder. 2026. “GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar”. International Journal of Engineering Technologies IJET 11 (1): 1-16. https://doi.org/10.19072/ijet.1840805.
EndNote
Rahman MM, Alam MN, Sarder M (June 1, 2026) GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar. International Journal of Engineering Technologies IJET 11 1 1–16.
IEEE
[1]M. M. Rahman, M. N. Alam, and M. Sarder, “GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar”, IJET, vol. 11, no. 1, pp. 1–16, June 2026, doi: 10.19072/ijet.1840805.
ISNAD
Rahman, Md Mahabub - Alam, Md. Nur - Sarder, Maharullah. “GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar”. International Journal of Engineering Technologies IJET 11/1 (June 1, 2026): 1-16. https://doi.org/10.19072/ijet.1840805.
JAMA
1.Rahman MM, Alam MN, Sarder M. GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar. IJET. 2026;11:1–16.
MLA
Rahman, Md Mahabub, et al. “GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar”. International Journal of Engineering Technologies IJET, vol. 11, no. 1, June 2026, pp. 1-16, doi:10.19072/ijet.1840805.
Vancouver
1.Md Mahabub Rahman, Md. Nur Alam, Maharullah Sarder. GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar. IJET. 2026 Jun. 1;11(1):1-16. doi:10.19072/ijet.1840805

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