Thesis Abstract

Abstract
Landslides pose significant threats to human lives, infrastructure, and the environment in various regions across the globe. Utilizing Geographic Information Systems (GIS) for landslide susceptibility mapping has emerged as a crucial tool for assessing and mitigating landslide risks. This thesis focuses on the investigation of landslide susceptibility mapping using GIS in a selected region, aiming to enhance the understanding of landslide dynamics and improve preparedness and response strategies. The study begins with an introduction providing a background of the research area and highlighting the importance of investigating landslide susceptibility for effective risk management. The problem statement emphasizes the need for accurate and reliable landslide susceptibility mapping to mitigate potential hazards. The objectives of the study include developing a comprehensive GIS-based approach for landslide susceptibility mapping, identifying high-risk areas, and assessing the effectiveness of the methodology. Limitations of the study are acknowledged, such as data availability, accuracy, and scale constraints that may impact the precision of the results. The scope of the study defines the geographical extent, data sources, and methodologies employed in the research. The significance of the study lies in its potential to contribute to the advancement of landslide risk assessment and management practices, leading to improved decision-making and disaster preparedness. The structure of the thesis outlines the organization of the research work, including the chapters and sub-sections that comprise the study. Definitions of key terms are provided to ensure clarity and understanding of the terminology used throughout the thesis. The literature review delves into existing research on landslide susceptibility mapping, GIS applications in landslide studies, and relevant methodologies and models used for assessing landslide hazards. The review identifies gaps in the current knowledge and establishes the theoretical framework for the study. In the research methodology chapter, the approach to data collection, processing, and analysis is detailed. Methods for landslide inventory mapping, terrain analysis, and susceptibility modeling using GIS techniques are described. The selection criteria for input variables and the application of statistical and spatial analysis tools are explained to elucidate the research process. Chapter four presents a comprehensive discussion of the findings obtained from the landslide susceptibility mapping exercise. The analysis of spatial patterns, susceptibility zones, and model accuracy is conducted to evaluate the effectiveness of the GIS-based approach. Factors influencing landslide occurrence and the implications of the results for risk management are discussed in detail. Finally, the conclusion and summary chapter synthesize the key findings of the study, reiterating the significance of the research outcomes. Recommendations for future research directions and practical implications for stakeholders involved in landslide risk management are highlighted. The thesis contributes to the body of knowledge on landslide susceptibility mapping using GIS and underscores the importance of proactive measures in mitigating landslide risks in vulnerable regions.

Thesis Overview

The project, "Investigation of Landslide Susceptibility Mapping Using Geographic Information Systems (GIS) in a Selected Region," aims to address the critical issue of landslides by leveraging GIS technology to identify areas at risk of landslide occurrence within a specific region. This research overview provides an in-depth explanation of the motivations, objectives, methodology, and potential impact of the study. Landslides pose a significant threat to communities, infrastructure, and the environment, leading to loss of life, property damage, and disruption of essential services. By utilizing GIS tools and spatial analysis techniques, this project seeks to enhance our understanding of landslide susceptibility factors and develop accurate landslide susceptibility maps for the selected region. These maps will enable stakeholders, including government agencies, urban planners, and emergency responders, to make informed decisions regarding land use planning, hazard mitigation, and disaster preparedness. The primary objective of the study is to investigate the factors influencing landslide susceptibility in the selected region and develop a comprehensive GIS-based model for mapping landslide susceptibility. By analyzing various geospatial data layers, such as topography, geology, soil properties, land cover, and rainfall patterns, the research aims to identify areas that are prone to landslides and assess the level of risk associated with each location. The GIS model will integrate these data layers to generate landslide susceptibility maps that highlight high-risk zones within the study area. The methodology involves collecting, processing, and analyzing geospatial data using GIS software to create a spatial database of landslide-related factors. This database will be used to develop a landslide susceptibility model based on statistical analysis, spatial interpolation techniques, and landslide inventory data. The model will be validated using historical landslide events and field surveys to ensure its accuracy and reliability in predicting landslide susceptibility. The potential impact of this research is significant, as the developed GIS-based landslide susceptibility maps can serve as valuable tools for risk assessment, land use planning, and emergency management in the selected region. By identifying high-risk areas and implementing targeted mitigation measures, such as slope stabilization, erosion control, and early warning systems, the project aims to enhance the resilience of communities and infrastructure against landslide hazards. In conclusion, the investigation of landslide susceptibility mapping using GIS technology offers a proactive approach to managing landslide risks and promoting sustainable development in the selected region. By combining geospatial analysis with scientific research, this project contributes valuable insights into understanding and mitigating the impacts of landslides, ultimately fostering a safer and more resilient environment for all stakeholders involved.