Advanced Water Resource Management Using IoT and Big Data Analytics

Effective water resource management is increasingly essential in mitigating the impacts of water scarcity and environmental degradation. This study proposes an integrated system that leverages the Internet of Things (IoT) and Big Data Analytics to enhance efficiency, responsiveness, and sustainability in water governance. The methodology includes real-time data collection through smart sensors, application of statistical and machine learning techniques for predictive modeling, and blockchain-backed data management for transparency. A 30-day simulation involving 50 sensor nodes demonstrated improvements including a 20% enhancement in water quality and a 7% reduction in daily usage. The outcomes validate the viability of this approach, aligning with sustainable development goals and supporting intelligent decision-making in both urban and agricultural contexts.