Computational Automation for Water Security: Enhancing Water Quality Management

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Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and outdated practices, presenting innovative solutions to enhance decision-making, optimize water treatment processes, and ultimately improve environmental outcomes.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. Offers a holistic understanding of the application of computational automation in water quality managementContains practical and unique to help learners how to apply computational techniques to address water quality challengesProvides a comprehensive and multidisciplinary perspective on water quality management INDICE: 1. Introduction to Computational Automation in Water Quality Management2. Real Time Water Quality Monitoring Systems3. Automated Water Data Sampling: Enhancing Efficiency and Accuracy in Hydrological Analysis4. Role of Data Processing and Analysis in water quality management5. Machine Learning and Artificial Intelligence Applications in Automating Water Quality Monitoring, Analysis and Management6. Significance of Automation in Water Treatment Processes7. Real-time Control Systems for Water Supply chain and management8. Integration of Automation and Internet of Things (IoT) for water security9. Cybersecurity and Data Privacy in Automated Systems used in water quality management.10. Cost-Benefit Analysis of Automation in Water Quality Management11. Automation in Water Distribution Networks12. Remote Sensing and Satellite Imagery for Water Quality Assessment13. Case Studies: Successful Implementation of Automation for Water Quality Assessment14. Future Trends and Emerging Technologies in water quality management15. Challenges and Ethical Considerations in water Automation

• ISBN: 978-0-443-33321-7
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 320
• Fecha Publicación: 01/02/2025
• Nº Volúmenes: 1
• Idioma: Inglés