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Full Description
This 3-volume set delves into the intersection of cutting-edge technology and environmental science to address pressing challenges in the water sector and develop digitalization solutions that can have practical implementation in decision making and management of wastewater treatment.
With special emphasis on the integration of big data, artificial intelligence (AI), and machine learning (ML), Volume 1 provides theoretical foundational and practical insights for water systems optimization, resource conservation, and sustainable operations; Volume 2 explores pathways to a sustainable, low-carbon future by emphasizing predictive maintenance, energy-efficient operations, leak detection, and climate-adaptive planning; and Volume 3 pursues real-world applications in water supply, wastewater treatment and flood management through a host of diverse and well-researched case studies.
Ideal for water engineers, researchers, policymakers, and sustainability practitioners, this handbook serves as an essential guide for professionals seeking to harness digitalization for smarter, data-driven water management. It is equally valuable for graduate students, academics, and technology innovators interested in bridging the gap between emerging AI capabilities and practical water sector applications.
Contents
1. The role of big data and AI policy in big data during the earthquake Using the k-means algorithm for defining the seismic input 2. A Lightweight Deep Learning LSTM Model for Efficient Real-time Water Quality Classification in IoT-Enabled Aquaculture 3. Machine Learning-Based Energy Consumption Model of Wastewater Treatment Plants: A case study from China 4. Can Indonesian Maritime Education Harness Big Data to Meet the Belt and Road Initiative's Demands? 5. Unlocking the Potential of Big Earth Data to Track Water Scarcity 6. AI-Driven Intelligent Water Systems: A New Paradigm for Water Resource Management 7. Water Conservation and AI 8. Water Banking as a Management and Conservation Strategy for a Vital Resource 9. AI-Integrated Drone Systems for Illegal Waste Monitoring in Indonesia: Enhancing Environmental Compliance and Data-Driven Waste Management 10. The trajectory of digital transformation within the water sector 11. Artificial neural network (ANN) modelling of wastewater effluent treatment: A case study from Asia region 12. Conventions on International Water, the Abuse of Transboundary
