The Role of Artificial Intelligence in Water Harvesting The Mediating Role of the Interfering Wave Strategy

Abstract

Water resources management systems are facing increasing challenges as a result of climate change, growing demand, and the inefficiency of traditional methods. The study aims to analyze  the role of artificial intelligence in improving the efficiency of water harvesting systems, with a focus on the mediating role of the overlapping wave strategy in enhancing the effectiveness of management decisions, and adopted an integrative approach that combines theoretical analysis and practical application, through the development of a smart water sustainability system (W-SMART), and the use of a random forest algorithm to process hydrological and operational data and predict the Total Water Sustainability Index (W-SWSI), the results showed that the level of sustainability in the baseline scenario was average, with gaps in water loss and reuse indicators, while  the application of intelligent predictive modeling contributed to a significant improvement in the value of the Water Sustainability Index. The results also proved that the overlapping wave strategy played a role in the water sustainability index.An effective medium in transforming AI outputs into integrated strategic decisions. The study concludes that the integration of artificial intelligence and flexible management frameworks represents a promising entry point to achieve water sustainability and support decision-making systems in complex aquatic environments