Handbook of Digitalization and Big Data in the Water Sector : Role of Artificial Intelligence and Machine Learning (Volume 1)

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Handbook of Digitalization and Big Data in the Water Sector : Role of Artificial Intelligence and Machine Learning (Volume 1)

Kurniawan, Tonni Agustiono (EDT)/ Anouzla, Abdelkader (EDT)

ウェブストア価格 ¥51,947（本体¥47,225）
CRC Press（2026/03発売）
外貨定価 US$ 235.00
ポイント 472pt

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製本 Hardcover:ハードカバー版／ページ数 264 p.
言語 ENG
商品コード 9781032880310

Full Description

This three-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.

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