Examining intermediate soil properties variability through spatial interpolation methods in GIS

This study compares Kriging and Inverse Distance Weighting (IDW) spatial interpolation methods for estimating intermediate soil properties at a construction site in Astana, Kazakhstan. Using data from eight boreholes, seven engineering geological elements (EGE) were identified and analyzed at 6.5 m and 11.5 m depths. Kriging produced deformation modulus values ranging from -0.29 to 18.99 MPa at 6.5 m and -0.51 to 23.94 MPa at 11.5 m, capturing more spatial variability compared to IDW, which provided ranges of 3.3 to 18.99 MPa and 2.6 to 23.99 MPa, respectively. Kriging’s ability to account for spatial correlations resulted in more accurate predictions, particularly in areas with complex subsurface variability. Meanwhile, IDW offered reliable localized results, effective in more uniform geological conditions. The findings demonstrate that both methods are valuable for geotechnical applications, with the choice depending on data density and site variability.

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Publication Details

Journal
Technobius
Published
2024-09-15
DOI
https://doi.org/10.54355/tbus/4.3.2024.0062
Citations
3
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.62

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article

Examining intermediate soil properties variability through spatial interpolation methods in GIS

Nurgul Alibekova, Khrystyna Moskalova, Assel Mukhamejanova, Aliya Aldungarova et al.
3 citations
Technobius
Soil Geostatistics and Mapping
0.62
article

Examining intermediate soil properties variability through spatial interpolation methods in GIS

Nurgul Alibekova, Khrystyna Moskalova, Assel Mukhamejanova, Aliya Aldungarova, Tymarkul Muzdybayeva, Sabit Karaulov
article en
3 citations

Abstract

This study compares Kriging and Inverse Distance Weighting (IDW) spatial interpolation methods for estimating intermediate soil properties at a construction site in Astana, Kazakhstan. Using data from eight boreholes, seven engineering geological elements (EGE) were identified and analyzed at 6.5 m and 11.5 m depths. Kriging produced deformation modulus values ranging from -0.29 to 18.99 MPa at 6.5 m and -0.51 to 23.94 MPa at 11.5 m, capturing more spatial variability compared to IDW, which provided ranges of 3.3 to 18.99 MPa and 2.6 to 23.99 MPa, respectively. Kriging’s ability to account for spatial correlations resulted in more accurate predictions, particularly in areas with complex subsurface variability. Meanwhile, IDW offered reliable localized results, effective in more uniform geological conditions. The findings demonstrate that both methods are valuable for geotechnical applications, with the choice depending on data density and site variability.

TechnobiusVol. 4(3)
L. N. Gumilyov Eurasian National University (KZ), Polytechnic of Međimurje in Čakovec (HR), Kokshetau State University (KZ), KazMunayGas (Kazakhstan) (KZ), TOO Solid Research Group (Kazakhstan)
Ministry of Education and Science of the Republic of Kazakhstan
Openalex Percentile: Top 35%
Soil Geostatistics and Mapping
0.62
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Examining intermediate soil properties variability through spatial interpolation methods in GIS — Nurgul Alibekova, Khrystyna Moskalova, et al. · Technobius (2024) | TGRS Research Map | TGRS