Echoes from the Shoreline: A Mathematical Approach to Sea-level Rise Projections

Abstract

This study highlights how important computational mathematics is to solving sea-level rise, one of the most pressing global issues. By combining acceleration constants, linear sea-level trends, and ice mass loss, a formula-based model was created to forecast yearly sea-level variations. This research provides a dependable approach to prediction by converting intricate geophysical processes into a useful mathematical framework. For nations with limited resources, like the Philippines, where exposure to rising seas is among the highest in the world, the model offers a cost-effective alternative to resource-intensive approaches that rely on sophisticated technologies and satellite systems available to wealthier nations. The model was used to estimate sea levels in specific Philippine regions using empirical data on global ice mass and sea-level changes. When applied to the Philippines as a whole, the findings demonstrated a high degree of agreement with NASA's Sea-level Explorer, with differences of at least ±1 cm. This high level of accuracy confirms the model's dependability and ability to forecast. The results highlight the significance of bridging the gap between highly-funded international research initiatives and the urgent demands of developing countries. By equipping policymakers, urban planners, and coastal communities with a dependable tool for anticipating future sea-level rise, this study supports informed decision-making and strengthens resilience against climate-related hazards. Ultimately, this research demonstrates that computational mathematics can effectively transform raw climate data into usable knowledge. By offering an alternative to expensive technologies, it provides a foundation for proactive climate action, enhances preparedness, and contributes meaningfully to global efforts in mitigating the socio-environmental consequences of rising seas.