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Role of Artificial Intelligence in Water Management
Abstract
Artificial Intelligence (AI) is revolutionizing water management by addressing critical challenges such as water scarcity, pollution, and inefficient resource allocation. This chapter explores the transformative role of AI technologies, including Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT), Predictive Analytics, and Computer Vision, in optimising water systems. Key applications include demand forecasting, leak detection, water quality monitoring, smart irrigation, and flood prediction, all of which enhance efficiency, sustainability, and resilience. Case studies, such as Barcelona's AI-powered water management system, demonstrate real-world successes in reducing water loss and improving operational performance. However, challenges must be addressed to ensure equitable and scalable solutions. The chapter also highlights future trends to further integrate AI into water governance. By fostering collaboration across sectors, AI can play a pivotal role in achieving water sustainability goals, ensuring safe and access to this vital resource for future generations.
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