Application of Ground-Penetrating Radar for Subsurface Imaging in Urban Environments

Thesis Abstract

Abstract
Ground-penetrating radar (GPR) has emerged as a powerful geophysical tool for non-invasive subsurface imaging in various fields, including civil engineering, environmental studies, and archaeology. This thesis focuses on the application of GPR for subsurface imaging in urban environments, where the complexity of underground structures and materials presents unique challenges. The primary objective of this research is to investigate the effectiveness of GPR in urban settings and to develop methodologies for enhancing its performance in these environments. The thesis begins with a comprehensive introduction to the research topic, providing background information on the principles of GPR and its applications in urban environments. The problem statement highlights the limitations of current GPR techniques in urban settings and the need for improved methodologies to overcome these challenges. The objectives of the study are outlined, including the development of novel data processing algorithms and the evaluation of GPR performance in urban subsurface imaging. The literature review chapter critically examines existing studies on GPR applications in urban environments, focusing on key research findings, methodological approaches, and limitations of current techniques. The chapter highlights the importance of understanding the complex urban subsurface and the role of GPR in addressing geotechnical, environmental, and infrastructure-related challenges. The research methodology chapter presents a detailed overview of the data collection and processing techniques employed in this study. The methodology encompasses field surveys using GPR equipment, data analysis using advanced signal processing algorithms, and the integration of GPR results with existing geospatial information for enhanced subsurface visualization. The chapter also discusses the selection of study sites, data acquisition parameters, and quality control measures implemented to ensure the reliability of the results. The findings chapter presents a detailed analysis of the GPR data collected in urban environments, highlighting the identification of subsurface features such as utilities, voids, and geological structures. The chapter discusses the effectiveness of different data processing algorithms in enhancing the resolution and accuracy of GPR images, providing insights into the challenges and opportunities associated with subsurface imaging in urban settings. The conclusion and summary chapter consolidate the key findings of the study, emphasizing the significance of GPR as a valuable tool for subsurface imaging in urban environments. The chapter discusses the implications of the research findings for urban planning, infrastructure development, and environmental management, highlighting the potential for GPR to improve the efficiency and effectiveness of subsurface investigations in complex urban settings. In conclusion, this thesis contributes to the growing body of knowledge on GPR applications in urban environments, providing valuable insights into the challenges and opportunities associated with subsurface imaging in complex urban settings. The research findings offer practical recommendations for enhancing the performance of GPR in urban subsurface investigations, paving the way for improved infrastructure planning, environmental monitoring, and geotechnical assessments in urban areas.