Project Abstract

Abstract
This research project focuses on the integration of LiDAR (Light Detection and Ranging) technology and GIS (Geographic Information System) for the purpose of assessing urban flood vulnerability. Urban floods have become increasingly prevalent due to rapid urbanization, climate change, and inadequate infrastructure, leading to significant social, economic, and environmental impacts. The combination of LiDAR and GIS offers a powerful tool for accurately mapping and analyzing flood-prone areas, thereby enabling better preparedness, mitigation, and response strategies. The first chapter of the research introduces the background of the study, highlighting the growing importance of urban flood vulnerability assessment. The problem statement emphasizes the need for advanced technologies to address the challenges posed by urban flooding. The objectives of the study focus on utilizing LiDAR and GIS to enhance flood vulnerability assessment accuracy and effectiveness. The limitations and scope of the study are also outlined, along with the significance of the research in contributing to urban resilience. The chapter concludes with the structure of the research and definitions of key terms used throughout the project. Chapter two presents a comprehensive literature review, encompassing ten key aspects related to LiDAR, GIS, urban flooding, vulnerability assessment methods, and previous studies in similar contexts. By examining existing research findings, methodologies, and case studies, this chapter provides a foundation for the research methodology and discussion of results. Chapter three details the research methodology employed in this study, including data collection methods, LiDAR and GIS data processing techniques, flood vulnerability assessment models, and validation procedures. The chapter outlines the steps taken to integrate LiDAR elevation data with GIS spatial analysis tools to generate flood vulnerability maps. Additionally, it discusses the selection criteria for study areas, data sources, and the analytical framework used to assess urban flood vulnerability. In chapter four, the research findings are elaborated upon through a detailed discussion of the flood vulnerability assessment results obtained from the integration of LiDAR and GIS. The chapter presents seven key findings related to flood-prone areas, vulnerability factors, population exposure, infrastructure risks, and potential mitigation strategies. The implications of the findings are analyzed in the context of urban flood management and resilience planning. Finally, chapter five provides a conclusion and summary of the research project, highlighting the key outcomes, contributions, and recommendations for future research and practical applications. The findings underscore the effectiveness of integrating LiDAR and GIS for urban flood vulnerability assessment, emphasizing the importance of accurate spatial data and advanced analytical tools in enhancing disaster preparedness and response efforts. In conclusion, this research project demonstrates the value of integrating LiDAR and GIS technologies for assessing urban flood vulnerability, offering insights into the spatial dynamics of flood risk and the potential for informed decision-making in urban planning and disaster management. By leveraging these advanced tools, stakeholders can proactively address the challenges posed by urban flooding and work towards building resilient cities capable of adapting to changing environmental conditions.

Project Overview