Application of Artificial Intelligence in Wastewater Treatment

2024
ISBN: 978-3-031-69432-5
Verlag: Springer Nature Switzerland

Buch, Englisch, 319 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 676 g

This book offers a comprehensive exploration of the integration of artificial intelligence (AI) techniques in addressing challenges and optimizing processes within wastewater treatment. The coverage of the book spans a spectrum of applications, including AI-driven monitoring and control systems, predictive modeling for pollutant removal, and the development of smart sensor networks for real-time data analysis in wastewater treatment plants. By amalgamating AI methodologies with wastewater treatment processes, the book provides insights into enhancing efficiency, reducing costs, and mitigating environmental impacts. In the current research scenario, the theme of the book is highly pertinent as it responds to the pressing need for sustainable and efficient wastewater treatment solutions. The book defines the theme by elucidating how AI technologies, such as machine learning algorithms and data analytics, can revolutionize wastewater treatment processes by enabling proactive decision-making, optimizing resource allocation, and predicting potential system failures. This intersection of AI and wastewater treatment not only addresses operational challenges but also contributes to the broader goal of achieving environmentally conscious and economically viable solutions.

Zielgruppe

Research

Autoren/Hrsg.

Gulati, Shikha

Fachgebiete

• Geowissenschaften Umweltwissenschaften Abfallbeseitigung, Abfallentsorgung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Geowissenschaften Umweltwissenschaften Umweltmanagement, Umweltökonomie
• Geowissenschaften Umweltwissenschaften Nachhaltigkeit
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Abfallwirtschaft, Abfallentsorgung
• Geowissenschaften Geologie Hydrologie, Hydrogeologie

Inhaltsverzeichnis

Introduction.- Overview of AI Application in diverse fields.- Fundamentals of Artificial Intelligence in wastewater treatment.-

Potential of AI optimization in wastewater treatment processes.- Real Time Analysis for Smart Sensor.- Automated Water Control System in Wastewater Treatment plants.- Predictive Modeling for Pollutant removal: Machine learning.- Algorithms for Predictive Analysis.- Case Studies and Success Stories of AI Implementation in Wastewater Treatment.- Environmental Sustainability, Compliance & Life Cycle.- Assessment of AI-Integrated Systems.- Emerging AI Technologies in Wastewater Treatment.- Regulatory framework and standards for adapting AI Systems, Interplay between AI and Environmental policies.- Recommendations for implementation of AI, Steps toward industry wide Adoption.- Conclusions and future prospects of AI in wastewater treatment.

Über Autor(innen)

Dr. Shikha Gulati (M.Sc., PhD.) is working as an Assistant Professor of Chemistry at Sri Venkateswara College, University of Delhi. She has expertise in Inorganic Chemistry, Nano-materials, Green Chemistry, Medicinal Chemistry, Catalysis, Wastewater treatment, Organometallics, Bio-inorganic Chemistry, and Analytical Chemistry. Dr. Shikha has authored several research papers in International Journals of repute and written numerous books as well as chapters in diverse books which attest to her research

aptitude, and good writing skills. Her books are referred to in diverse Universities across India for different undergraduate courses. Dr. Gulati has also been awarded the Young Researcher Award 2020 for her work in the field of Nanotechnology. Her knowledge in the aforementioned fields is paid off immeasurably in this book.