Assessment of Groundwater Quality in Urban Areas Using GIS and Remote Sensing Techniques

Thesis Abstract

Abstract
This thesis focuses on the assessment of groundwater quality in urban areas utilizing Geographic Information System (GIS) and Remote Sensing techniques. The study aims to investigate the quality of groundwater in urban environments, where contamination risks are high due to anthropogenic activities. The research employs GIS and Remote Sensing technologies to map and analyze groundwater quality parameters, such as pH, nitrate, heavy metals, and other contaminants. The introduction provides an overview of the importance of groundwater quality assessment, highlighting the significance of understanding and monitoring water resources in urban settings. The background of the study offers a comprehensive review of existing literature on groundwater quality assessment, GIS applications, and Remote Sensing techniques in environmental monitoring. The problem statement identifies the current challenges and risks associated with groundwater contamination in urban areas, emphasizing the need for effective monitoring and assessment strategies. The objectives of the study outline specific goals, including the mapping of groundwater quality parameters, identification of potential contamination sources, and the development of mitigation strategies. Limitations of the study are discussed to acknowledge potential constraints, such as data availability, equipment limitations, and time constraints. The scope of the study defines the geographical area and parameters under investigation, specifying the focus on urban areas and key groundwater quality indicators. The significance of the study emphasizes the potential impact on water resource management, environmental protection, and public health in urban communities. The structure of the thesis provides an overview of the chapters and their respective contents, guiding the reader through the research process. Chapter Two presents a detailed literature review, covering topics such as groundwater contamination sources, GIS applications in water resource management, Remote Sensing techniques for environmental monitoring, and previous studies on groundwater quality assessment. Chapter Three outlines the research methodology, including data collection methods, sampling techniques, laboratory analysis procedures, GIS mapping processes, and Remote Sensing data interpretation. The chapter also discusses quality control measures, data validation techniques, and statistical analysis methods employed in the study. Chapter Four presents the discussion of findings, analyzing the mapped groundwater quality parameters, identifying contamination sources, and discussing the implications of the results. The chapter also compares the findings with existing literature and offers recommendations for future research and policy implications. Chapter Five concludes the thesis with a summary of key findings, highlighting the importance of groundwater quality assessment in urban areas. The chapter also discusses the implications of the study for water resource management, environmental monitoring, and public health, emphasizing the need for sustainable groundwater protection measures. In conclusion, this thesis contributes to the field of Geo-science by demonstrating the utility of GIS and Remote Sensing techniques in assessing groundwater quality in urban areas. The research findings provide valuable insights for policymakers, environmental agencies, and water resource managers to develop effective strategies for protecting and managing groundwater resources in urban environments.