Computational Automation for Water Security

Enhancing Water Quality Management
Herausgeber: Dubey, Ashutosh Kumar; A Giannakoudakis, Dimitrios; Garcia Marquez, Fausto Pedro; Kumar, Abhishek; Srivastav, Arun Lal

• Broschiertes Buch

Produktbeschreibung

Computational Automation for Water Security: Enhancing Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and outdated practices, presenting innovative solutions to enhance decision-making, optimize water treatment processes, and ultimately improve environmental outcomes. Through the coverage of advanced computational techniques, such as data analysis, machine learning, and optimization strategies, readers will gain a deep understanding of how computational automation can revolutionize decision-making, allowing for more informed choices in water quality monitoring, pollution control, and resource allocation. This book is an invaluable resource for professionals, researchers, and policymakers seeking to stay at the forefront of water quality management practices, harnessing the power of computational automation for a cleaner, healthier future.

Produktdetails

• Verlag: Elsevier Health Sciences
• Seitenzahl: 320
• Erscheinungstermin: 1. Februar 2025
• Englisch
• ISBN-13: 9780443333217
• ISBN-10: 0443333211
• Artikelnr.: 70983885

Inhaltsangabe

1. Introduction to Computational Automation in Water Quality Management
2. Real Time Water Quality Monitoring Systems
3. Automated Water Data Sampling: Enhancing Efficiency and Accuracy in
Hydrological Analysis
4. Role of Data Processing and Analysis in water quality management
5. Machine Learning and Artificial Intelligence Applications in Automating
Water Quality Monitoring, Analysis and Management
6. Significance of Automation in Water Treatment Processes
7. Real-time Control Systems for Water Supply chain and management
8. Integration of Automation and Internet of Things (IoT) for water
security
9. Cybersecurity and Data Privacy in Automated Systems used in water
quality management.
10. Cost-Benefit Analysis of Automation in Water Quality Management
11. Automation in Water Distribution Networks
12. Remote Sensing and Satellite Imagery for Water Quality Assessment
13. Case Studies: Successful Implementation of Automation for Water Quality
Assessment
14. Future Trends and Emerging Technologies in water quality management
15. Challenges and Ethical Considerations in water Automation