Thesis Abstract

Abstract
In the field of geophysics, the integration of Ground Penetrating Radar (GPR) and Electrical Resistivity Tomography (ERT) has gained significant attention as a powerful approach for subsurface imaging. This thesis investigates the synergistic use of GPR and ERT techniques to enhance the characterization of subsurface structures and properties. The study aims to address the limitations of individual methods by combining their strengths to achieve a more comprehensive understanding of subsurface conditions. The introduction section provides an overview of the research background, highlighting the significance of integrating GPR and ERT in subsurface imaging applications. The problem statement identifies the challenges faced in subsurface investigations using traditional methods and emphasizes the need for a more integrated approach. The objectives of the study are outlined to guide the research towards achieving specific goals in improving subsurface imaging accuracy and resolution. The literature review chapter examines existing studies on GPR and ERT applications, highlighting their principles, advantages, and limitations. The review identifies key factors influencing the effectiveness of GPR and ERT techniques and explores previous attempts to integrate these methods for subsurface imaging. By analyzing the current state of research, this chapter provides a foundation for the proposed integration approach. The research methodology chapter details the experimental setup, data collection procedures, and data processing techniques employed in the study. It discusses the selection of study sites, equipment calibration, and data interpretation methods for integrating GPR and ERT data. The chapter also addresses potential challenges and uncertainties associated with the integration process, outlining strategies to mitigate these factors and ensure reliable results. The discussion of findings chapter presents the results of the integrated GPR and ERT data analysis, focusing on the identification of subsurface features, anomalies, and properties. The chapter interprets the combined data sets to generate comprehensive subsurface images and maps, highlighting the synergistic benefits of integrating GPR and ERT. It also discusses the implications of the findings in advancing subsurface imaging techniques and enhancing geophysical investigations. The conclusion and summary chapter provide a synthesis of the research outcomes, emphasizing the significance of integrating GPR and ERT for subsurface imaging applications. The chapter discusses the key findings, implications for future research, and recommendations for improving the integration approach. It concludes by highlighting the contributions of the study to the field of geophysics and underscoring the importance of adopting integrated geophysical methods for enhanced subsurface characterization. Overall, this thesis contributes to the advancement of subsurface imaging techniques by demonstrating the effectiveness of integrating GPR and ERT for improved visualization and understanding of subsurface structures and properties. Through a comprehensive analysis of the integrated data sets, the study showcases the potential of combining geophysical methods to achieve more accurate and detailed subsurface imaging results.

Thesis Overview