An Integrated GIS Methodology for Identifying High-Risk Areas due to Damaged Coastal Protection Structures. A Case Study of Kollam District, Kerala, India

Coastal protection structures are crucial for safeguarding coastal communities from natural disasters, such as coastal erosion and flooding. However, due to various factors, such as cyclones, and floods, these structures can be damaged, leaving the population living in their vicinity at risk. This study pivots from a general evaluation to a refined methodological approach, centered on the Kollam district, to assess and prioritize vulnerable coastal stretches. We employed a comprehensive GIS-based framework, synthesizing data on demographics, coastal structures integrity, and shoreline dynamics. The analysis meticulously delineated the extent of coastal stretches with damaged structures, the populace within the proximity, and the corresponding shoreline status. The results unveiled critical zones, such as Alappad village, characterized by pronounced structural damage, eroding shoreline, and substantial resident populations within proximity. By identifying such high- risk areas, the research facilitates strategic prioritization for mitigation measures and astute resource allocation. Furthermore, the study underlines the pivotal role of continuous monitoring, timely interventions, and data-driven decision-making in managing coastal areas. While the research presents significant insights, it acknowledges inherent limitations tied to data accuracy and its dynamism. Future work should pivot towards real-time data integration, encompassing broader factors like climate projections and socio-economic determinants, thereby enhancing the robustness and applicability of our risk assessment model for global coastal management.