Description
The Handbook of Artificial Intelligence in Water Management: Towards Net Zero Emissions is a groundbreaking resource that bridges the gap between artificial intelligence and sustainable water management practices. This comprehensive guide examines how machine learning, deep learning, and advanced computational algorithms can revolutionize water resource optimization, treatment, and distribution systems.
The handbook covers intelligent monitoring systems, predictive analytics for water quality management, AI-driven infrastructure optimization, and smart grid technologies for water networks. It addresses critical challenges including water scarcity, contamination prevention, energy efficiency, and carbon footprint reduction. Written by leading experts Soufiane Haddout and Tonni Agustiono Kurniawan, this book provides practical frameworks and case studies demonstrating real-world AI applications in achieving net zero emissions goals.
Essential for water engineers, environmental scientists, sustainability professionals, and policymakers, this handbook serves as both a technical reference and a strategic guide for implementing AI solutions in water management infrastructure worldwide.
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