COMPARATIVE ANALYSIS OF INTELLIGENT SYSTEMS IN WATER RESOURCE MONITORING AND MANAGEMENT
Keywords:
Water management, artificial intelligence, intelligent water systems, IoT monitoring, blockchain certification, e-commerce integration, pollution reduction, supply chain transparency.Abstract
This article presents a comparative analysis of four studies focused on intelligent systems for water resource management. The works include a literature review on artificial intelligence applications (MDPI), a European Union cluster case study on pollution reduction (ZeroPollution4Water), a Water Research Foundation report on intelligent water systems, and additional integrative frameworks. The analysis highlights significant achievements in demand forecasting, anomaly detection, and real-time monitoring, alongside policy and practical pilot initiatives. However, all studies reveal persistent barriers such as interoperability gaps, lack of data standardization, cybersecurity vulnerabilities, and challenges in scaling pilot projects. By examining methodologies, findings, and shortcomings, this paper identifies opportunities for integrating artificial intelligence, IoT, and blockchain technologies with supply chain management and digital commerce platforms. Recommendations include the development of standardized data protocols, stronger regulatory frameworks, blockchain-based certification, and capacity-building strategies to advance sustainable water management.
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