Assessing the Impact of Land Use Change on Coastal Erosion Dynamics
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of the Study
- 1.3Statement of the Problem
- 1.4Aim and Objectives of the Study
- 1.5Research Questions
- 1.6Research Hypotheses
- 1.7Significance of the Study
- 1.8Scope and Delimitation of the Study
- 1.9Limitations of the Study
- 1.10Organisation of the Study
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptual Framework of Land Use Change and Coastal Erosion
- 2.2Theoretical Foundations: Coastal Dynamics and Land Use Change Theories
- 2.3Empirical Studies on Land Use Change Impact on Coastal Erosion
- 2.4Remote Sensing and GIS in Coastal Erosion Assessment
- 2.5Climate Variability and Coastal Erosion Processes
- 2.6Human Activities and Coastal Vulnerability
- 2.7Coastal Erosion Measurement Techniques and Indicators
- 2.8Land Use Policies and Coastal Management Practices
- 2.9Gaps in Existing Literature on Land Use and Coastal Erosion
- 2.10Conceptual Model of Land Use Change and Coastal Erosion Dynamics
- 2.11Summary Table of Reviewed Literature and Findings
- 2.12Synthesis and Contextualization of the Literature Review
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design and Approach
- 3.2Philosophical Paradigm Guiding the Study
- 3.3Study Population and Study Area Characteristics
- 3.4Sampling Frame, Sample Size, and Sampling Techniques
- 3.5Data Sources: Primary and Secondary Data
- 3.6Data Collection Instruments: Remote Sensing, GIS, and Field Surveys
- 3.7Validity, Reliability, and Calibration of Data Collection Instruments
- 3.8Data Analysis Methods: Statistical and Spatial Analysis Techniques
- 3.9Analytical Framework and Model Specification
- 3.10Ethical Considerations in Data Collection and Analysis
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS, AND DISCUSSION
- 4.1Presentation of Land Use and Coastal Erosion Data
- 4.2Descriptive Statistics and Spatial Patterns Analysis
- 4.3Testing of Research Hypotheses: Correlation and Regression Results
- 4.4Interpretation of Coastal Erosion Trends in Relation to Land Use Changes
- 4.5Analysis of Land Use Data in Context of Coastal Vulnerability
- 4.6Impact of Specific Land Use Types on Erosion Dynamics
- 4.7Discussing Findings Against Theoretical and Empirical Literature
- 4.8Summary of Key Insights Derived from Data Analysis
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSIONS, AND RECOMMENDATIONS
- 5.1Summary of Main Findings
- 5.2Conclusion on Land Use Change and Coastal Erosion Links
- 5.3Contributions to Coastal and Land Use Management Knowledge
- 5.4Policy and Practice Recommendations for Coastal Erosion Mitigation
- 5.5Limitations Encountered and Their Implications
- 5.6Suggestions for Future Research Directions
Thesis Abstract
Coastal erosion poses a significant threat to coastal communities, ecosystems, and infrastructure, particularly in regions undergoing rapid land use changes driven by urbanization, agriculture, and industrial activities. This study investigates the extent to which alterations in land use patterns influence the dynamics of coastal erosion, with the aim of providing empirical evidence to inform sustainable coastal zone management. The specific objectives are to quantify historical land use changes over the past two decades, assess the relationship between land use modifications and erosion rates, and develop an integrated model elucidating the underlying mechanisms linking land use practices to coastal vulnerability. The research adopts a mixed-methods approach comprising both quantitative and qualitative components. A spatial analysis of land use changes was conducted using remotely sensed Landsat imagery covering a 20-year period (2000–2020). The study area comprises a 150-square-kilometer coastal zone with diverse land use types, with a population of approximately 250,000 residents. A stratified random sampling technique was employed to select 200 households and 15 local government officials for qualitative interviews, complemented by field measurements of shoreline position at 10 selected cross-sections. Data on shoreline position were collected bi-annually over five years through GPS surveying, while land use data were extracted and classified from satellite imagery using supervised classification techniques. Additionally, hydrodynamic data, including wave height, current velocity, and rainfall, were incorporated to control for natural factors influencing erosion. Statistical analysis employed multiple regression models to assess the relationship between land use variables (e.g., deforestation, urban expansion, agricultural intensification) and shoreline retreat rates, with model validation via residual diagnostics. Thematic analysis of interview transcripts identified local perceptions and land management practices impacting erosion, while GIS-based spatial analysis revealed correlations between land use change hotspots and erosion-prone sectors. The study also integrated the drivers–pressure–state–impact–response (DPSIR) framework, culminating in a conceptual model illustrating the causal pathways linking anthropogenic land use alterations to shoreline erosion. Expected findings include a statistically significant positive correlation between urban sprawl, land clearing, and increased shoreline retreat, with urban expansion rates averaging 4.5% annually over the past decade. The analysis is anticipated to demonstrate that land use change accounts for approximately 65% of the observed variance in erosion rates, after controlling for natural factors. Qualitative insights are expected to reveal community awareness of land management practices’ influence on erosion and highlight policy gaps in land use regulation. The findings will contribute novel empirical evidence on the land–sea interface relationship, underscoring the importance of integrated coastal management strategies that incorporate land use planning. The study concludes that unregulated land use change substantially accelerates coastal erosion, emphasizing the need for sustainable development policies that balance land utilization with shoreline protection. Recommendations include implementing buffer zones and reforestation initiatives along eroding coastlines, establishing land use zoning regulations, and integrating community-based participatory approaches into coastal management frameworks. The research advances knowledge by providing a comprehensive, empirically validated model linking land use dynamics to coastal erosion, thereby filling a critical gap in the multidisciplinary understanding of coastal vulnerability under anthropogenic pressures. Policymakers, land planners, and environmental managers can leverage these insights to formulate adaptive strategies that mitigate erosion while fostering sustainable land development in coastal regions.
Thesis Overview
This research focuses on understanding how changes in land use along coastlines affect the way these areas erode over time. Coastal erosion is a natural process where land is worn away by wave action, currents, and weather, but human activities such as urban development, agriculture, deforestation, and infrastructure construction can either accelerate or sometimes temporarily reduce erosion. The study aims to determine the extent to which different land use practices contribute to erosion rates and to identify the most damaging land transformations.
The reason this research matters is because many coastal communities rely on their beaches and land for livelihoods, tourism, and ecosystem services. Poor land use planning can lead to increased erosion, which threatens infrastructure, reduces land availability, and harms local economies. Despite existing studies, there is a gap in detailed, location-specific understanding of how land use changes directly influence erosion dynamics, especially in rapidly developing regions.
The researcher will collect data through satellite imagery and aerial photographs over a ten-year period to analyze land use changes. Field surveys will measure erosion rates and sediment loss at targeted sites. Soil and sand samples may be collected to assess erosion patterns. Data analysis will include GIS techniques to map land use changes, statistical methods such as regression analysis to examine relationships between land use types and erosion rates, and temporal analysis to track trends over time.
The study’s expected contribution is providing a clearer picture of how specific land use practices influence erosion, which can inform better coastal management policies. The findings are anticipated to identify critical land use activities that worsen erosion, enabling policymakers and planners to develop sustainable land use strategies. Overall, the research aims to generate practical knowledge that supports the preservation of coastlines, balances development needs, and mitigates erosion-related hazards.