Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Artificial Intelligence in Water and Wastewater Treatment Systems: Modeling, Optimization, and Control for Pollution Removal

Artificial Intelligence in Water and Wastewater Treatment Systems: Modeling, Optimization, and Control for Pollution Removal

Sibali, Linda Lunga
Masindi, Vhahangwele
Musamba, Banza Jean Claude

Hardcover

Series: Studies in Computational Intelligence, Book 1283

Technology & EngineeringEnvironmental StudiesGeneral Computers

ISBN10: 3032223849
ISBN13: 9783032223845
Publisher: Springer
Published: May 19 2026
Pages: 139
Weight: 0.84
Height: 0.56 Width: 6.51 Depth: 9.32
Language: English
This book presents a comprehensive and practical overview of machine learning-driven adsorption processes for pollution removal from wastewater, with a focus on modeling, optimization, and mechanistic insights. It explores how techniques such as Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Response Surface Methodology (RSM) can enhance the efficiency of removing heavy metals--including Chromium (VI), Copper (II), Cadmium (II), and Zinc (II)--using biodegradable and nanostructured adsorbents like modified cellulose nanocrystals. Through detailed case studies, experimental methodologies, and comparative analysis of AI algorithms, this book bridges traditional adsorption science with advanced computational approaches, offering valuable tools and insights for researchers, engineers, and practitioners working in environmental science, chemical engineering, and sustainable water treatment.

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