Description
Water Security: Big Data-Driven Risk Identification, Assessment and Control of Emerging Contaminants contains the latest information on big data-driven risk detection and analysis, risk assessment and environmental health effect, intelligent risk control technologies, and global control strategy of emerging contaminants. First, this book highlights advances and challenges throughout the detection of emerging chemical contaminants (e.g., antimicrobials, microplastics) by sensors or mass spectrometry, as well as emerging biological contaminant (e.g., ARGs, pathogens) by a combination of next- and third-generation sequencing technologies in aquatic environment. Second, it discusses in depth the ecological risk assessment and environmental health effects of emerging contaminants. Lastly, it presents the most up-to-date intelligent risk management technologies.This book shares instrumental global strategy and policy analysis on how to control emerging contaminants. Offering interdisciplinary and global perspectives from experts in environmental sciences and engineering, environmental microbiology and microbiome, environmental informatics and bioinformatics, intelligent systems, and knowledge engineering, this book provides an accessible and flexible resource for researchers and upper level students working in these fields.- Covers the detection, high-throughput analyses, and environmental behavior of the typical emerging chemical and biological contaminants- Focuses on chemical and biological big data driven aquatic ecological risk assessment models and techniques- Highlights the intelligent management and control technologies and policies for emerging contaminants in water environments
Table of Contents
1. Pollution distribution characteristics and ecological risks of typical emerging chemical contaminants in aquatic environments2. Microplastics-mediated water ecological risks and control technologies3. Environmental DNA (eDNA) and toxicogenomics in ecological health risk assessment4. Dissemination mechanism of antibiotic resistance genes (ARGs) in water environment5. Environmental behavior and risk of antibiotic resistance genes (ARGs) in water environment6. Pathogens in engineered water system7. Environmental ecology and health risk assessment of pathogens in the environment8. Ecological health assessment of natural water bodies by plankton9. Analytical approaches, occurrence, migration and transformation mechanisms of emerging contaminants in multiple media10. Biosensors and Biodegradation for Emerging contaminants based on Synthetic Biology11. Advanced detection technologies for emerging contaminants based on sensors12. Optical Real-time Online Sensing Technologies and Challenges for Emerging Contaminants13. Suspect and nontarget screening technologies for emerging contaminants14. Detection methods for emerging microplastics15. High-throughput sequencing based bioinformatics identification technologies for emerging biological contaminants16. Mining technologies for functional gene markers of emerging contaminants17. Statistical analysis and visualization of biological sequencing big data18. Association of antimicrobial biodegradation with the evolution of antimicrobial resistance in ecosystems19. Microbial Transformation of Per- and Polyfluoroalkyl Substances (PFAS)20. Microbial dehalogenation mechanisms and prospects of bioremediation of persistent halogenated organic contaminants21. Bacterial and Genetic Resources for Typical Emerging Pharmaceuticals and Personal Care Products (PPCPs) Degradation22. Plastic contaminants in water and recent advances for bioremediation23. Fate of emerging chemical contaminants in wastewater treatment system24. Fate and risk management of antibiotic resistance genes (ARGs) in anaerobic digestion25. Electron transfer regulation-based biotechnologies for emerging contaminants treatment26. Physicochemical control technologies for emerging contaminants in sewage treatment plants27. Nature-based control technologies for emerging contaminants28. Leveraging weak electrical stimulation and artificial intelligence for sustainable microbial dehalogenation in groundwater remediation29. Using isotope tracers to elucidate the fate of organic micropollutants in the environment30. Modeling processes and sensitivity analysis of machine learning methods for environmental data31. Advances in pollution source identification in the integrated drainage system32. Data-driven management strategies for carbon emissions and emerging contaminants control in wastewater treatment plants33. A Julia based activated sludge modeling program toward emerging contaminants management34. Mathematical modelling for emerging contaminants during wastewater treatment35. Current developments in machine learning models with boosting algorithms for the prediction of water quality36. New situation of water resources management and water pollution control37. The value of water resources and the emerging contaminants management
