Handbook of Digitalization and Big Data in the Water Sector : Emerging Opportunities and Challenges in Net Zero Emissions (Volume 2)

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Handbook of Digitalization and Big Data in the Water Sector : Emerging Opportunities and Challenges in Net Zero Emissions (Volume 2)

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

ウェブストア価格 ¥52,940（本体¥48,128）
CRC Press（2026/03発売）
外貨定価 US$ 235.00
ポイント 481pt

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製本 Hardcover:ハードカバー版／ページ数 250 p.
言語 ENG
商品コード 9781032880679
DDC分類 363.610285

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. Supply Mapping for a Sustainable Future: Data-Driven Efforts in Decision Making 2. Digital Approaches in Water Quality Management: Transitioning Conventional Techniques to Digitalisation 3. Sustainability of the Water Sector Using IoT 4. IoT-based Water Quality Monitoring 5. The way forward of digitalization in water sector 6. Role of Big Data in projecting water scarcity and drought 7. Big data-driven of ecological protection 8. Promoting Sustainable Agriculture with Drones in Rural Areas: Socio-Cultural Requirements and Considerations 9. Digital Twins as a Transformative Framework for Intelligent Water and Wastewater Management 10. Integration of Digital Twins with AI Tools 11. Challenges and Opportunities for Adopting Digital Twins in The Water Treatment Industry 12. Emerging Opportunities and Threats in the Digital Revolution in the Water Sector 13. Big data to help water sector become carbon neutral 14. Water supply mapping for sustainable future, data-driven efforts in decision making