Sub-Surface Geotechnical Data Visualization of Inaccessible Sites Using GIS

• Published in: ISPRS international journal of geo-information 2022-07, Vol.11 (7), p.368
• Main Authors: Awan, Tariq Ahmed, Arshid, Muhammad Usman, Riaz, Malik Sarmad, Houda, Moustafa, Abdallah, Mirvat, Shahkar, Muhammad, Aghdam, Mirsina Mousavi, Azab, Marc
• Format: Article
• Language: English
• Subjects: Accuracy; Civil engineering; Colour; Consultancies; Data acquisition; Depth; Design; Digital mapping; Digitization; Drilling; Drilling equipment; Drilling machines (tools); Geographic information systems; Geographical Information System (GIS); Geographical information systems; Geotechnical data; Ground level; Information systems; Infrastructure; Mapping; Planning; Plasticity; Plasticity index; Scientific visualization; Shallow foundations; Shear strength; Soil characteristics; Soil depth; Soil maps; Soil properties; Soil types; Soils; spatial interpolation; SPT N; Statistical methods; Stratigraphy; Visualization
• ISSN: 2220-9964; 2220-9964
• DOI: 10.3390/ijgi11070368

Geotechnical investigation, in hilly areas, for high-rise projects, becomes a problematic issue and costly process due to difficulties in mobilization and assembling the drilling equipment on mountainous terrains. The objective of this study is to map soil properties of study areas, especially at inaccessible sites, for reconnaissance. Digital soil maps for Tehsil Murree, Pakistan, have been developed using the emerging Geographical Information System (GIS). The research work involved the creation of an exhaustive database, by collecting and rectifying geotechnical data, followed by the digitization of the acquired data through integration with GIS, in an attempt to visualize, analyze and interpret the collected geotechnical information spatially. The soil data of 205 explanatory holes were collected from the available geotechnical investigation (GI) reports. The collection depth of soil samples, which were initially used for the design of deep and shallow foundations by different soil consultancies in the Murree area, was approximately 50 ft. below ground level. Appropriate spatial interpolation methods (i.e., the Kriging) were applied for the preparation of smooth surface maps of soil standard penetration tester number values, soil type and plasticity index. The accuracy of developed SPT N value and plasticity maps were then evaluated using the linear regression method, in which the predicted values of soil characteristics from developed maps and actual values were compared. SPT N value maps were developed up to a depth of 9.14 m below ground level and at every 1.52 m interval. The depth of refusal was considered in the developed maps. Soil type and plasticity maps were generated up to 15.24 m depth, again at every 1.52 m intervals, using color contours, considering the maximum predicted foundation depth for high-rise projects. The study has implications for academics and practitioners to map the soil properties for inaccessible sites using GIS, as the resulting maps have high accuracy.