Thesis Abstract

Abstract
This thesis focuses on the analysis of landslide susceptibility using Geographic Information Systems (GIS) in a mountainous region. Landslides pose significant threats to human lives, infrastructure, and the environment in mountainous areas. The study area selected for this research is characterized by steep slopes, geological instability, and high precipitation, making it prone to landslides. The primary objective of this research is to assess and map the susceptibility of landslides in the study area using GIS techniques. The research begins with an introduction that provides an overview of the importance of studying landslide susceptibility and the relevance of GIS in landslide analysis. The background of the study outlines the geological characteristics of the study area that contribute to landslide occurrences. The problem statement highlights the need for effective landslide susceptibility mapping to mitigate the risks associated with landslides in mountainous regions. The objectives of the study include identifying landslide-prone areas, analyzing the factors contributing to landslide susceptibility, and developing a landslide susceptibility map using GIS tools. The limitations of the study are acknowledged, such as data availability, scale limitations, and uncertainties associated with landslide susceptibility modeling. The scope of the study defines the extent of the research area and the methodologies employed in the analysis. The significance of the study lies in providing valuable information for land-use planning, disaster risk reduction, and emergency response planning in mountainous regions prone to landslides. The structure of the thesis outlines the organization of chapters and the flow of the research work. Additionally, key terms related to landslide susceptibility and GIS are defined to provide clarity for readers. The literature review chapter explores existing studies on landslide susceptibility mapping, GIS applications in landslide analysis, and factors influencing landslides in mountainous regions. The research methodology chapter details the data collection methods, GIS techniques, and statistical analysis used to assess landslide susceptibility in the study area. The findings chapter presents the results of the landslide susceptibility analysis, including susceptibility maps, spatial patterns of landslide-prone areas, and the influence of various factors on landslide occurrence. The discussion of findings chapter interprets the results, discusses the implications for land-use planning, and identifies areas for further research. In conclusion, this thesis contributes to the understanding of landslide susceptibility in mountainous regions and provides valuable insights for risk assessment and management. The summary highlights the key findings of the research and emphasizes the importance of utilizing GIS for effective landslide susceptibility mapping and mitigation strategies in vulnerable areas.

Thesis Overview

The project titled "Analysis of Landslide Susceptibility Using Geographic Information Systems in a Mountainous Region" focuses on investigating the factors influencing landslide occurrences in mountainous terrains through the application of Geographic Information Systems (GIS) technology. Landslides pose significant risks to communities living in mountainous regions, leading to loss of lives, infrastructure damage, and economic disruption. By utilizing GIS tools, this research aims to enhance the understanding of landslide susceptibility factors and develop a predictive model to assess and mitigate landslide risks in the study area. The research will commence with a comprehensive literature review to explore existing studies on landslide susceptibility assessment, GIS applications, and relevant methodologies employed in similar research. This review will provide a foundation for understanding the current state of knowledge in the field and identify gaps that the study intends to address. The methodology section will outline the data collection process, including gathering topographic data, geological information, rainfall data, land cover data, and historical landslide records. These datasets will be integrated within the GIS environment to analyze spatial relationships and identify areas prone to landslides based on the identified susceptibility factors. The research will adopt a quantitative approach to analyze the relationships between various factors and landslide occurrences. Statistical analyses and spatial modeling techniques will be employed to develop a landslide susceptibility map that categorizes different zones based on their susceptibility levels. This map will serve as a valuable tool for decision-makers and planners to prioritize areas for mitigation measures and land-use planning strategies. The findings from this study will be presented in the discussion section, highlighting the significant factors influencing landslide susceptibility in the mountainous region under investigation. The results will be compared with existing studies to validate the effectiveness of the developed model and its applicability to similar geographical settings. In conclusion, this research will contribute to the field of landslide susceptibility assessment by utilizing GIS technology to improve the accuracy and efficiency of landslide risk management strategies. The study findings will provide valuable insights for policymakers, urban planners, and geoscientists in enhancing disaster preparedness and resilience in mountainous regions prone to landslides.