Application of Seismic Refraction Tomography for Subsurface Imaging in Urban Areas

Thesis Abstract

Abstract
The urban environment poses unique challenges for subsurface imaging due to the complex and heterogeneous nature of the subsurface. In this thesis, the application of Seismic Refraction Tomography (SRT) for subsurface imaging in urban areas is investigated. SRT is a geophysical technique that utilizes the propagation of seismic waves through the subsurface to image the distribution of subsurface properties such as velocity and depth. This research aims to assess the effectiveness of SRT in urban settings and to explore its potential for improving subsurface imaging in these environments. The thesis begins with a comprehensive introduction that provides an overview of the research topic and sets the context for the study. The background of the study delves into the principles of SRT and its application in subsurface imaging, highlighting its advantages and limitations. The problem statement identifies the existing challenges in subsurface imaging in urban areas and the need for improved techniques to overcome these challenges. The objectives of the study outline the specific goals and research questions that will be addressed, while the limitations of the study acknowledge the constraints and potential biases that may impact the results. The scope of the study defines the boundaries of the research in terms of geographical area, data collection methods, and target subsurface properties. The significance of the study highlights the potential impact of the research findings on the field of geophysics and urban planning, emphasizing the importance of accurate subsurface imaging for infrastructure development and environmental management. The structure of the thesis provides a roadmap for the organization of the research, outlining the chapters and key sections that will be covered. Chapter Two presents a comprehensive literature review that synthesizes existing research on SRT and subsurface imaging in urban areas. This chapter explores the theoretical background of SRT, reviews previous studies that have applied SRT in urban settings, and identifies gaps in the current literature that the present research aims to address. Chapter Three details the research methodology, including the data collection procedures, equipment used, data processing techniques, and data interpretation methods. The chapter also discusses the selection criteria for the study area, the survey design, and the quality control measures implemented to ensure the reliability and accuracy of the results. Chapter Four presents the findings of the research, including the subsurface imaging results obtained through SRT, the interpretation of the data, and the insights gained from the analysis. This chapter also discusses the challenges encountered during the study and the implications of the findings for future research and applications. Finally, Chapter Five provides a conclusion and summary of the thesis, highlighting the key findings, contributions to the field, and recommendations for future research. The conclusion also reflects on the significance of the research in advancing subsurface imaging techniques in urban areas and its potential impact on urban planning and infrastructure development. In conclusion, this thesis contributes to the growing body of knowledge on subsurface imaging in urban areas and demonstrates the potential of SRT as an effective tool for characterizing the subsurface in complex urban environments. By addressing the challenges of subsurface imaging in urban areas and providing valuable insights into the application of SRT, this research advances the field of geophysics and lays the groundwork for further research in this important area.