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books
| book details |
Artificial Intelligence in Wastewater Treatment
Edited by Manoj Chandra Garg, Edited by Pinki Sharma, Edited by Smriti Agarwal, Edited by Monika Simon
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| on special |
normal price: R 5 982.95
Price: R 5 683.95
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| book description |
This book provides a forward-looking and practical examination of how Artificial Intelligence (AI) is reshaping wastewater treatment and advancing sustainable environmental management. Organized into four thematic parts, it bridges foundational knowledge with cutting-edge innovations, offering an integrated view of the future of water technologies. The book begins with the fundamentals of AI and machine learning as applied to core wastewater processes. Readers learn how intelligent algorithmsranging from neural networks to optimization modelsenable accurate forecasting, dynamic control, and enhanced biological treatment efficiency. The second part highlights AI-driven monitoring and automation, including smart sensors, SCADA-enabled systems, and real-time process adjustments that improve operational stability and regulatory compliance. Decision-support tools and emerging technologies form the focus of Part III. This section explores multi-criteria evaluation frameworks, IoT-connected smart plants, predictive analytics, and next-generation advancements such as explainable AI. The final part addresses sustainability and specialized applications, detailing AI-driven strategies for sludge valorization, zero-waste initiatives, high-salinity wastewater treatment, and optimized water reuse. Combining scientific depth with practical insights, this book serves as an essential resource for researchers, engineers, utility managers, environmental consultants, and policymakers committed to building smarter, more resilient, and sustainable wastewater management systems.
| product details |
Normally shipped |
Publisher | New India Publishing Agency
Published date | 10 Nov 2025
Language |
Format | Hardback
Pages | 300
Dimensions | 229 x 152 x 0mm (L x W x H)
Weight | 675g
ISBN | 978-9-3721-9583-5
Readership Age |
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