Development and optimization of geotechnical soil maps using various geostatistical and spatial interpolation techniques: a comprehensive study

Ijaz, Zain; Zhao, Cong; Ijaz, Nauman; Rehman, Zia ur; Ijaz, Aashan

doi:10.1007/s10064-023-03244-x

Cited by 10 publications

(3 citation statements)

References 34 publications

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“…This shows that for the soil properties having smaller sill (as shown in table 3), it is most likely to result in smaller RMSE. This clearly evidence that the spatial structure determine the accuracy of interpolated values [33], [34].…”

Section: The Results Of Interpolationmentioning

confidence: 59%

Characterizing, Predicting, and Mapping Soil Available Phosphor, pH, and Electrical Conductivity in Rubber Plantation Based on Three Different Methods of Ordinary Kriging in GIS Environment

Wijayanto,

Nareswari,

Saputra

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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Soils in rubber plantations have unique characteristics due to their prolonged and excessive uses. These practices have changed soil qualities, production, and the geographical distribution of soil conditions. For this reason, research on the spatial analysis of soil attributes in rubber plantations is essential. Although it is acknowledged that there are proven methods for accounting for geographical variability, their use in rubber plantations is still somewhat restricted. Evidence also demonstrates ongoing debate and variation in the findings on the capacity of methods to predict spatial variability. Therefore, the primary goal of this study is to examine how well various approaches perform when using ordinary kriging to analyze spatial variability of three soil properties: Soil Available Potassium (SAP), pH, and Electrical Conductivity. The methodology employed in this work includes (a) grid sampling for data collection, (b) interpolation using Ordinary kriging with three methods (exponential, spherical, and Gaussian), (c) mapping, and (d) evaluation. The findings of this study demonstrate that semi-variogram analysis using three distinct methods yields somewhat varied outcomes with accuracy in higher order from SAP, soil EC, and soil pH. The results of this study also show that the different methods have unique characteristics when representing spatial structure. These findings suggested that the number of samples and the selection of interpolation techniques are essential factors in studying these three soil properties and determining the accuracy of the results.

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Section: The Results Of Interpolationmentioning

confidence: 59%

Characterizing, Predicting, and Mapping Soil Available Phosphor, pH, and Electrical Conductivity in Rubber Plantation Based on Three Different Methods of Ordinary Kriging in GIS Environment

Wijayanto,

Nareswari,

Saputra

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…The measured shear wave velocity and specimen mass density produce the shear modulus via Equation (1).…”

Section: Fundamental Conceptsmentioning

confidence: 99%

“…However, structures are more susceptible to horizontal motion since they are innately less capable of resisting it. The ground motion in most earthquake-related design problems is derived from the horizontal shaking of vertically propagating shear waves [1].…”

Section: Introductionmentioning

confidence: 99%

The Dynamic Properties of Sand under Torsion: A Literature Review

Ahmad

Ray

2023

Geotechnics

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Resonant column (RC) and the torsional simple shear (TOSS) tests have shown proven competency in acquiring precise and repeatable measurements regarding the shear modulus and damping ratio of soil. For most dynamic geotechnical problems, the shear modulus represents the stiffness of the soil, while the damping ratio describes energy dissipation. Many studies in the last few decades focused on developing the relevant equipment and investigating the effect of different soil properties on the dynamic behavior of soil. Researchers have introduced correlations to approximate this behavior without conducting dynamic torsional testing. Soil models (e.g., Ramberg-Osgood and Hardin-Drnevich) can simulate shear stress-strain curves after finding the curve-fitting parameters. Due to the complexity of dynamic behavior and its dependency on various factors in soils, the RO and HD equations help model the behavior more simply. This paper presents a literature review and evaluation of the studies, correlations, soil models, and parameters affecting the dynamic behavior of dry sand under torsion.

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Geospatial modeling of heterogeneous geotechnical data using conventional and enhanced conception of modified Shepard method-based IDW algorithms: application and appraisal

Ijaz,

Zhao,

Ijaz

et al. 2023

Bull Eng Geol Environ

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Development and optimization of geotechnical soil maps using various geostatistical and spatial interpolation techniques: a comprehensive study

Cited by 10 publications

References 34 publications

Characterizing, Predicting, and Mapping Soil Available Phosphor, pH, and Electrical Conductivity in Rubber Plantation Based on Three Different Methods of Ordinary Kriging in GIS Environment

Characterizing, Predicting, and Mapping Soil Available Phosphor, pH, and Electrical Conductivity in Rubber Plantation Based on Three Different Methods of Ordinary Kriging in GIS Environment

The Dynamic Properties of Sand under Torsion: A Literature Review

Geospatial modeling of heterogeneous geotechnical data using conventional and enhanced conception of modified Shepard method-based IDW algorithms: application and appraisal

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