Handbook of Digitalization and Big Data in the Water Sector

1 Harnessing Machine Learning in the Water Sector to Accelerate Sustainable Development Goals (SDGs); 2 Unlocking the Potential of AI in the Water Sector; 3 The Applications of Internet of Things in Water Sector: Taxonomy, Use Cases, Key Challenges, and Future Road Map; 4 Deployment of Artificial Intelligence and Satellite to Promote Sustainable Cities; 5 Role of AI Policy in Responding to Climate Change and Mitigating the Food and Energy Crisis; 6 AI-Based Modeling for Predicting the Disinfection By-Products in Water; 7 Big Data in Support of Carbon Neutrality in Water Sector; 8 Using Satellite Remote Sensing Monitoring in Boosting Water Resource Substitutability in Agriculture; 9 AI in Wastewater Treatment Applications; 10 Strengthening Machine Learning Reproducibility to Ensure Water Security in the Long Term; 11 Machine Learning Application Based on Big Data for Prediction of Wastewater Quality; 12 AI Success in Water Management; 13 Application of Machine Learning Techniques Predicated on Extensive Datasets for the Forecasting of Wastewater Quality; 14 Predicting Future Trends in the Integration of AI and Water Management

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• Abastecimento e tratamento de águas
• Indústrias da água
• Negócios e meio ambiente :abordagem ecologica
• Inteligência artificial

Climate change;Decarbonization;Digitalization;Machine learning;Net zero emissions