Spatial mapping of geotechnical soil properties at multiple depths in Sialkot region, Pakistan

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

doi:10.1007/s12665-021-10084-z

Cited by 21 publications

(9 citation statements)

References 37 publications

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“…According to Shepard's IDW function, the weights assigned to these values and the distance between them are inversely proportional [15]. The unsampled point is interpolated at 𝑥 on the coordinates of 𝑦 using the modified Shephard method based on the observation points 𝑥 𝑗 = 𝑥(𝑦 𝑗 ) for 𝑗 = 1,2,3,4 … , N, as outlined in equations ( 1) and (2).…”

Section: Traditional and Improved Formulation Of The Modified Idw Alg...mentioning

confidence: 99%

“…where, 𝐷[𝑓](𝑥, 𝑦) is the predicted values using interpolation, ∂ 𝑖 2 shows the square of the displacement between two points, the nodal function in gird of generated prediction surface is indicated by 𝑄 𝑘 , and 𝑅 𝑤 is the influence radius that determines the impact of the nodal function. However, this conventional IDW approach often results in sharp transitions, violating spatial interaction principles because of its fixed influence radius and sensitivity to sparse data points [16].…”

Section: Traditional and Improved Formulation Of The Modified Idw Alg...mentioning

confidence: 99%

“…The complexity of subsurface soil heterogeneity, particularly in terms of varying stratigraphy and lithology within small-scale grids, represents a significant challenge in geotechnical and geological analyses [1,2]. Accurate depiction of subsurface information is crucial for efficient planning, site selection, and developing proactive response systems to reduce the hazards of slope or road collapses and ground subsidence.…”

Section: Introductionmentioning

confidence: 99%

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Advanced geospatial modeling and statistical evaluation of heterogenous geotechnical facets at multiple depths using the improved formulation of modified Shepard IDW algorithm

Ijaz,

Zhao,

Ijaz

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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A formidable challenge in geology and geotechnics is the significant spatial heterogeneity in the subsoil characteristics in fine-scale grids. To mitigate this problem, geotechnical data is integrated as geotechnical soil maps (GSMs), which uses sophisticated interpolation techniques and provides an advanced understanding and accurate depiction of subsurface variability. This study uses an improved formulation of inverse distance weighting (IDW) algorithm based on modified Shepard method, integrated with the Google Earth Engine platform. The prediction efficiencies of GSMs and traditional IDW algorithm are statistically evaluated and compared, considering heterogeneous geotechnical facets at multiple depths in an unexplored region. Pertinent geotechnical properties including soil type, plasticity index, and standard penetration test were considered to evaluate the algorithm performance based on critical performance metrics. The results demonstrate that the improved formulation of the IDW algorithm is more relevant to field values and tends to align with Tobler's first law of geography by inducing a smooth transition rather than a disruptive trend owing to high geotechnical variability. The prediction accuracy increased by 10 – 20% compared to the traditional IDW algorithm. This study demonstrates and promotes the use of an improved formulation of the modified IDW algorithm considering its better accuracy and relevance to field value

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Section: Traditional and Improved Formulation Of The Modified Idw Alg...mentioning

confidence: 99%

Section: Traditional and Improved Formulation Of The Modified Idw Alg...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Advanced geospatial modeling and statistical evaluation of heterogenous geotechnical facets at multiple depths using the improved formulation of modified Shepard IDW algorithm

Ijaz,

Zhao,

Ijaz

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Zain et al [7] evaluated several research areas according to key geotechnical characteristics in the Lahore metropolitan area based on IDW interpolation technology, which is based on the improved Shephard method that can efficiently generate very accurate geotechnical engineering soil maps. Ijaz et al [8] used spatial interpolation technology to create a spatial map (SM) in the Sialkot area based on a large amount of geotechnical foundation data, and used linear regression analysis to establish the correlation, so that soil strength, stiffness, and soil consistency can be quickly and reliably evaluated. These covariates often display a continuous spatial distribution, so their relative significance must be taken into account during selection.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Variation Analysis of Soil Salinization in the Ougan-Kuqa River Oasis of China

Du,

He,

Luo

et al. 2024

Sustainability

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In order to investigate the mechanism of environmental factors in soil salinization, this study focused on analyzing the temporal-spatial variation of soil salinity in the Ogan-Kuqa River Oasis in Xinjiang, China. The research aimed to predict soil salinity using a combination of satellite data, environmental covariates, and advanced modeling techniques. Firstly, Boruta and ReliefF algorithms were employed to select variables that significantly affect soil salinity from the Sentinel-2 satellite data and environmental covariates. Subsequently, a soil salinity inversion model was established using three advanced strategies: comprehensive variable analysis, a Boruta-based variable selection algorithm, and a ReliefF-based variable selection algorithm. Each strategy was modeled using a Light Gradient Boosting Machine (LightGBM), an Extreme Learning Machine (ELM), and a Support Vector Machine (SVM). Finally, the Boruta-LightGBM strategy was proven to be the most effective in predicting soil electrical conductivity (EC), with a coefficient of determination (R2) of 0.72 and a Root Mean Square Error (RMSE) of 12.49 ds/m. The experimental results show that the red-edge band index is the foremost variable in predicting soil salinity, succeeded by the salinity index and soil attribute data, while the topographic index has the least influence, which further demonstrates that proper variable selection could significantly improve model functionality and predictive precision. Furthermore, the Multiscale Geographically Weighted Regression (MGWR) model was utilized to reveal the influence and temporal-temporal-spatial heterogeneity of environmental factors such as soil organic carbon (SOC), precipitation (PRE), pH value, and temperature (TEM) on soil EC. This research offers not just a viable methodological framework for monitoring soil salinization but also new perspectives on the environmental drivers of soil salinity changes, which have implications for sustainable land management and provide valuable information for decision-making in soil salinity control and mitigation efforts.

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“…Additionally, the deep soft soil widely existing in Ningbo [12] has further aggravated land subsidence around engineering projects. The geotechnical properties of soils with different bearing values and plasticity [13,14] at different depths show different impacts on major infrastructure. Regarding the widespread soft soil in Ningbo, previous studies on specific research objectives have depended on empirical judgments of the soil properties.…”

Section: Introductionmentioning

confidence: 99%

Land Subsidence Characteristics and Numerical Analysis of the Impact on Major Infrastructure in Ningbo, China

et al. 2022

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For the construction and safe operation of major infrastructure in coastal cities, the impact of regional land subsidence that has occurred or is slowly proceeding deserves attention. Previous studies have mainly focused on the surrounding land subsidence caused during construction or operation, as well as the superposition effect of land subsidence caused by groundwater extraction. However, research on the different impacts of damage due to land subsidence in the construction and operation of urban infrastructure needs to be carried out according to the actual geological environmental conditions, reflected in parameters such as the soil properties and common loads. Numerical simulation cannot fully reflect the details of reality; however, it can avoid the influence of other conditions to focus on different factors influencing land subsidence and thus highlight the contribution of a single factor influencing land subsidence. Therefore, in this paper, we adopt field measurement data and carry out a numerical simulation analysis of different influencing factors. First, taking the Ningbo Jiangdong subsidence center (now located in Yinzhou District) as an example, area growth, cumulative subsidence and the occurrence and development of the subsidence rate of a typical urban subsidence funnel area are analyzed. Then, taking the Ningbo Chunxiao–Meishan area as an example, based on the physical and mechanical characteristics of the main soil layers in the coastal reclamation area, a numerical analysis of the self-weight/backfill and surcharge consolidation settlement of the soil layer (considering the water permeability/impermeability of the bottom surface) and a numerical analysis of the nonuniform settlement caused by pile foundation engineering are carried out. Finally, the Ximenkou–Gulou area is taken as the analysis object. Numerical simulation of metro tunnel pipeline deformation is carried out considering uniform/nonuniform settlement. The results show that the comprehensive prohibition of groundwater exploitation is beneficial to slow the land subsidence rate, while the sedimentation of silty clay in Layer 4 (muddy clay) is the largest among all the soil layers. Compared with uniform settlement, nonuniform settlement is more likely to cause connection failure between tunnel segments. The above research results can provide references for the prevention and control of land subsidence and thus the safe operation of major infrastructure.

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Spatial mapping of geotechnical soil properties at multiple depths in Sialkot region, Pakistan

Cited by 21 publications

References 37 publications

Advanced geospatial modeling and statistical evaluation of heterogenous geotechnical facets at multiple depths using the improved formulation of modified Shepard IDW algorithm

Advanced geospatial modeling and statistical evaluation of heterogenous geotechnical facets at multiple depths using the improved formulation of modified Shepard IDW algorithm

Spatio-Temporal Variation Analysis of Soil Salinization in the Ougan-Kuqa River Oasis of China

Land Subsidence Characteristics and Numerical Analysis of the Impact on Major Infrastructure in Ningbo, China

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