Water pollution continues to pose an existential threat to global ecosystems, human health, and socioeconomic stability. Building on foundational analyses of pollution categories, sources, and impacts, this original research paper extends existing knowledge by integrating quantitative modeling of pollution trends and proposing a novel framework for adaptive mitigation. Utilizing data from established sources on groundwater, surface, and ocean contamination, we employ a systems dynamics approach to forecast pollution escalation under current trajectories. Key findings reveal that untreated sewage and non-point source runoff could exacerbate daily global deaths from waterborne diseases by 20% by 2030 without intervention. The proposed "Integrated Pollution Resilience (IPR) Framework" emphasizes real-time monitoring, community-driven remediation, and transboundary governance. This work contributes to the literature by bridging gaps in predictive analytics and policy integration, offering actionable insights for policymakers and researchers.