Sustainable Smart Water Systems

A Comprehensive Approach
Erscheinungsjahr 2026
ISBN: 978-0-443-36470-9
Verlag: Elsevier Science

Buch, Englisch, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

Sustainable Smart Water System: A Comprehensive Approach is an essential guide for students and researchers dedicated to sustainable water management. This book thoroughly examines potential threats to water quality from industrial activities, agricultural practices, and climate change, while also addressing the vital regulations and policies for smart water systems. With a deep dive into innovative technologies, particularly advanced sensors, readers will uncover cutting-edge advancements in water treatment, including membrane filtration, advanced oxidation processes, and green chemistry methods. The insightful chapters illustrate the transformative impact of artificial intelligence and big data analytics on water quality monitoring, prediction, and decision-making, enriched with compelling case studies. Moreover, the book explores the revolutionary use of Internet of Things (IoT) devices for real-time water quality monitoring and control, shedding light on the challenges and future research directions in this dynamic field.

Autoren/Hrsg.

Reza Khondakar, Kamil

Mazumdar, Hirak

Kaushik, Ajeet Kumar

Fachgebiete

• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Wasserversorgung, Wasseraufbereitung

Inhaltsverzeichnis

1. Introduction to Sustainable Smart Water Systems
2. Sustainability Risk Assessment and Management in Water Quality
3. Sources of Water Pollution and Its Impact on Ecosystems
4. Smart Sensors for Water Testing and Quality Assessment
5. Nano-separation Techniques for Sustainable Water Treatment
6. Sustainable Membrane Technology for Water Treatment
7. IoT-based Monitoring and Control for Sustainable Water Quality
8. Artificial intelligence and big data applications for drinking water quality monitoring
9. AI-supported approaches for sustainable water management in Urban areas.
10. Sustainable Agriculture through Smart Practices of Water using AI and IOT
11. Water Quality Regulations and Policies for Sustainable Management
12. Challenges and Future Directions in Sustainable Water Ecosystems

Über Autor(innen)

Reza Khondakar, Kamil
Dr. Kamil Reza Khondakar is a senior assistant Professor at Woxsen University, Hyderabad, India. He earned his Ph.D. from the Australian Institute for Bioengineering and Nanotechnology at The University of Queensland, Australia, where his research centered on developing microfluidic assays for detecting cancer biomarkers. He has edited 3 books and authored over 50 international research publications in the fields of lab-on-a-chip technology, electrochemical sensors, optical sensors, and machine learning assisted sensors for the advancement of personalized healthcare systems. He is also serving editorial roles for journal Frontiers in nanotechnology and Sensors (MDPI). He was awarded the Startup Research Grant (SRG-2023) by the Science & Engineering Research Board (SERB), Government of India, to develop microfluidic chip-based sensors for detecting water contamination. He also received International Postgraduate Research Scholarship (IPRS) from Government of Australia, and University of Queensland Centennial Scholarship (UQCent) from The University of Queensland, Australia. He was invited speaker at international conferences in USA, Australia and India. He has been affiliate member of the Royal Society of Chemistry since 2024 (invited).

Mazumdar, Hirak
Hirak is an accomplished Algorithm Developer and Researcher specializing in Computer Vision, Image Processing, and Machine Learning Algorithms. Currently serving as an Assistant Professor at Woxsen University in Hyderabad, his current research interest includes developing industrial big data analysis, intelligent medical devices, intelligent manufacturing systems, and intelligent quality assurance. Over the last couple of years, Hirak has worked with big data and implemented many algorithms based on Wafer defects during the fabrication process and related many optimization techniques. In addition, he has work experience with two top-tier companies where he works with machine learning and data fault analysis. He has published 13 papers in peer-reviewed journals and filled 2 Patents with more than 10 conference presentations.

Kaushik, Ajeet Kumar
Dr. Ajeet Kaushik is Associate Professor at the NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, USA. He is the recipient of various reputed awards for his service in the area of nano-biotechnology for health care. He has edited seven books, written more than 100 international research peer reviewed publications, and has three patents in the area of nanomedicine and smart biosensors for personalized health care. In the course of his research, Dr. Kaushik has been engaged in the design and development of various electro-active nanostructures for electrochemical biosensor and nanomedicine for health care. His research interests include nanobiotechnology, analytical systems, design and develop nanostructures, nano-carries for drug delivery, nano-therapeutics for CNS diseases, on-demand site-specific release of therapeutic agents, exploring personalized nanomedicines, biosensors, point-of-care sensing devices, and related areas of health care monitoring.