A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Statistical interpolation and spatial mapping of geotechnical soil parameters of District Sargodha, Pakistan
https://orcid.org/0000-0002-6205-929X
https://orcid.org/0000-0003-1792-0770
Abstract This study employs spatial interpolation techniques based on extensive geotechnical sub-soil data to develop geotechnical zonation maps for the district of Sargodha, Pakistan. The sub-soil data was extracted from 170 geotechnical investigation reports that contained soil type, standard penetration (N-value), and groundwater depth (exploring a depth of up to 15 m). Two spatial interpolation techniques were employed: (1) inverse distance weighting (IDW) and (2) kriging. IDW technique was used in ArcGIS-10.5 to develop zonation maps of N-values and soil type at various depths, while the kriging method was adopted to generate contours for the groundwater table (GWT) in Surfer 18. The outcomes revealed that subjected region was split into three major zones established on N-values (i.e., zone 1 (1–5), zone 2 (6–10), and zone 3(> 10)) and four subzones generated on soil types. The silty clay is prevalent up to 3 m, followed by sandy soil up to 15 m deep. Empirical correlations of N-values with depth have been proposed with $${R}^{2}$$ = 0.99 and RMSD = 0.51, enabling rapid assessment of stiffness and strength characteristics of subsoils during preliminary planning and feasibility studies of different projects. The GWT contour plots showed that the depth of GWT in zone 1 varies between 2.5 and 3.25 m, 0.75 and 4.5 m in zone 2, and 1.75 and 4.0 m in zone 3. Furthermore, the correlation coefficient to forecast N-values is about 95%, 97% for soil type, and 86% for GWT. It is anticipated that these maps will be a helpful resource for engineers and planners in their attempts to achieve improved land-use planning and to determine necessary remedial action.
Statistical interpolation and spatial mapping of geotechnical soil parameters of District Sargodha, Pakistan
https://orcid.org/0000-0002-6205-929X
https://orcid.org/0000-0003-1792-0770
Abstract This study employs spatial interpolation techniques based on extensive geotechnical sub-soil data to develop geotechnical zonation maps for the district of Sargodha, Pakistan. The sub-soil data was extracted from 170 geotechnical investigation reports that contained soil type, standard penetration (N-value), and groundwater depth (exploring a depth of up to 15 m). Two spatial interpolation techniques were employed: (1) inverse distance weighting (IDW) and (2) kriging. IDW technique was used in ArcGIS-10.5 to develop zonation maps of N-values and soil type at various depths, while the kriging method was adopted to generate contours for the groundwater table (GWT) in Surfer 18. The outcomes revealed that subjected region was split into three major zones established on N-values (i.e., zone 1 (1–5), zone 2 (6–10), and zone 3(> 10)) and four subzones generated on soil types. The silty clay is prevalent up to 3 m, followed by sandy soil up to 15 m deep. Empirical correlations of N-values with depth have been proposed with $${R}^{2}$$ = 0.99 and RMSD = 0.51, enabling rapid assessment of stiffness and strength characteristics of subsoils during preliminary planning and feasibility studies of different projects. The GWT contour plots showed that the depth of GWT in zone 1 varies between 2.5 and 3.25 m, 0.75 and 4.5 m in zone 2, and 1.75 and 4.0 m in zone 3. Furthermore, the correlation coefficient to forecast N-values is about 95%, 97% for soil type, and 86% for GWT. It is anticipated that these maps will be a helpful resource for engineers and planners in their attempts to achieve improved land-use planning and to determine necessary remedial action.
Statistical interpolation and spatial mapping of geotechnical soil parameters of District Sargodha, Pakistan
https://orcid.org/0000-0002-6205-929X
https://orcid.org/0000-0003-1792-0770
Abstract This study employs spatial interpolation techniques based on extensive geotechnical sub-soil data to develop geotechnical zonation maps for the district of Sargodha, Pakistan. The sub-soil data was extracted from 170 geotechnical investigation reports that contained soil type, standard penetration (N-value), and groundwater depth (exploring a depth of up to 15 m). Two spatial interpolation techniques were employed: (1) inverse distance weighting (IDW) and (2) kriging. IDW technique was used in ArcGIS-10.5 to develop zonation maps of N-values and soil type at various depths, while the kriging method was adopted to generate contours for the groundwater table (GWT) in Surfer 18. The outcomes revealed that subjected region was split into three major zones established on N-values (i.e., zone 1 (1–5), zone 2 (6–10), and zone 3(> 10)) and four subzones generated on soil types. The silty clay is prevalent up to 3 m, followed by sandy soil up to 15 m deep. Empirical correlations of N-values with depth have been proposed with $${R}^{2}$$ = 0.99 and RMSD = 0.51, enabling rapid assessment of stiffness and strength characteristics of subsoils during preliminary planning and feasibility studies of different projects. The GWT contour plots showed that the depth of GWT in zone 1 varies between 2.5 and 3.25 m, 0.75 and 4.5 m in zone 2, and 1.75 and 4.0 m in zone 3. Furthermore, the correlation coefficient to forecast N-values is about 95%, 97% for soil type, and 86% for GWT. It is anticipated that these maps will be a helpful resource for engineers and planners in their attempts to achieve improved land-use planning and to determine necessary remedial action.
Statistical interpolation and spatial mapping of geotechnical soil parameters of District Sargodha, Pakistan
Hassan, Waqas (author) / Raza, Muhammad Fazal (author) / Alshameri, Badee (author) / Shahzad, Arfan (author) / Khalid, Muhammad Hamza (author) / Nawaz, Muhammad Naqeeb (author)
2023
Article (Journal)
Electronic Resource
English
BKL:
56.00$jBauwesen: Allgemeines
/
38.58
Geomechanik
/
38.58$jGeomechanik
/
56.20
Ingenieurgeologie, Bodenmechanik
/
56.00
Bauwesen: Allgemeines
/
56.20$jIngenieurgeologie$jBodenmechanik
RVK:
ELIB18
Geospatial Analysis of Urbanization and its Impact on Land Use Changes in Sargodha, Pakistan
| BASE | 2017