Application of Ground-Penetrating Radar (GPR) for mapping subsurface features in urban areas

Thesis Abstract

Abstract
Ground-Penetrating Radar (GPR) technology has emerged as a valuable tool for mapping subsurface features in urban areas, offering a non-invasive and efficient method to investigate underground structures and utilities. This thesis explores the application of GPR in urban environments, focusing on its effectiveness in mapping subsurface features and addressing challenges associated with urban infrastructure. The study aims to demonstrate the capabilities of GPR in providing detailed information about underground structures, such as pipelines, cables, and voids, to aid in urban planning and development. The research begins with a comprehensive introduction to GPR technology, highlighting its principles, advantages, and limitations. A detailed literature review explores previous studies and applications of GPR in urban settings, providing a foundation for the current research. The methodology section outlines the research design, data collection techniques, and data processing methods employed in the study, emphasizing the importance of accurate data interpretation for mapping subsurface features effectively. The findings of the study reveal the successful application of GPR in mapping subsurface features in urban areas, showcasing its ability to detect and visualize underground structures with high resolution and accuracy. The discussion section delves into the implications of the findings, highlighting the significance of GPR data for urban planning, infrastructure maintenance, and disaster management. The study also addresses challenges and limitations encountered during the research, such as signal attenuation in urban environments and data interpretation complexities. In conclusion, this thesis emphasizes the importance of GPR technology as a valuable tool for mapping subsurface features in urban areas, offering insights into underground structures that are crucial for sustainable urban development. The study underscores the significance of accurate data collection, processing, and interpretation in utilizing GPR effectively for urban planning and infrastructure management. Recommendations for future research include exploring advanced GPR techniques, integrating GPR data with other geophysical methods, and enhancing data visualization tools for better decision-making in urban environments. Overall, this research contributes to the growing body of knowledge on the application of GPR for mapping subsurface features in urban areas, offering valuable insights and practical recommendations for researchers, practitioners, and policymakers involved in urban development and infrastructure management.