Water Security: Big Data-Driven Risk Identification, Assessment and Control of Emerging Contaminants
Editat de Bin Liang, Shu-Hong Gao, Hongcheng Wangen Limba Engleză Paperback – 13 iun 2024
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
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Specificații
ISBN-13: 9780443141706
ISBN-10: 0443141703
Pagini: 668
Dimensiuni: 216 x 276 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 0443141703
Pagini: 668
Dimensiuni: 216 x 276 mm
Editura: ELSEVIER SCIENCE
Cuprins
1. Pollution distribution characteristics and ecological risks of typical emerging chemical contaminants in aquatic environments
2. Microplastics-mediated water ecological risks and control technologies
3. Environmental DNA (eDNA) and toxicogenomics in ecological health risk assessment
4. Dissemination mechanism of antibiotic resistance genes (ARGs) in water environment
5. Environmental behavior and risk of antibiotic resistance genes (ARGs) in water environment
6. Pathogens in engineered water system
7. Environmental ecology and health risk assessment of pathogens in the environment
8. Ecological health assessment of natural water bodies by plankton
9. Analytical approaches, occurrence, migration and transformation mechanisms of emerging contaminants in multiple media
10. Biosensors and Biodegradation for Emerging contaminants based on Synthetic Biology
11. Advanced detection technologies for emerging contaminants based on sensors
12. Optical Real-time Online Sensing Technologies and Challenges for Emerging Contaminants
13. Suspect and nontarget screening technologies for emerging contaminants
14. Detection methods for emerging microplastics
15. High-throughput sequencing based bioinformatics identification technologies for emerging biological contaminants
16. Mining technologies for functional gene markers of emerging contaminants
17. Statistical analysis and visualization of biological sequencing big data
18. Association of antimicrobial biodegradation with the evolution of antimicrobial resistance in ecosystems
19. Microbial Transformation of Per- and Polyfluoroalkyl Substances (PFAS)
20. Microbial dehalogenation mechanisms and prospects of bioremediation of persistent halogenated organic contaminants
21. Bacterial and Genetic Resources for Typical Emerging Pharmaceuticals and Personal Care Products (PPCPs) Degradation
22. Plastic contaminants in water and recent advances for bioremediation
23. Fate of emerging chemical contaminants in wastewater treatment system
24. Fate and risk management of antibiotic resistance genes (ARGs) in anaerobic digestion
25. Electron transfer regulation-based biotechnologies for emerging contaminants treatment
26. Physicochemical control technologies for emerging contaminants in sewage treatment plants
27. Nature-based control technologies for emerging contaminants
28. Leveraging weak electrical stimulation and artificial intelligence for sustainable microbial dehalogenation in groundwater remediation
29. Using isotope tracers to elucidate the fate of organic micropollutants in the environment
30. Modeling processes and sensitivity analysis of machine learning methods for environmental data
31. Advances in pollution source identification in the integrated drainage system
32. Data-driven management strategies for carbon emissions and emerging contaminants control in wastewater treatment plants
33. A Julia based activated sludge modeling program toward emerging contaminants management
34. Mathematical modelling for emerging contaminants during wastewater treatment
35. Current developments in machine learning models with boosting algorithms for the prediction of water quality
36. New situation of water resources management and water pollution control
37. The value of water resources and the emerging contaminants management
2. Microplastics-mediated water ecological risks and control technologies
3. Environmental DNA (eDNA) and toxicogenomics in ecological health risk assessment
4. Dissemination mechanism of antibiotic resistance genes (ARGs) in water environment
5. Environmental behavior and risk of antibiotic resistance genes (ARGs) in water environment
6. Pathogens in engineered water system
7. Environmental ecology and health risk assessment of pathogens in the environment
8. Ecological health assessment of natural water bodies by plankton
9. Analytical approaches, occurrence, migration and transformation mechanisms of emerging contaminants in multiple media
10. Biosensors and Biodegradation for Emerging contaminants based on Synthetic Biology
11. Advanced detection technologies for emerging contaminants based on sensors
12. Optical Real-time Online Sensing Technologies and Challenges for Emerging Contaminants
13. Suspect and nontarget screening technologies for emerging contaminants
14. Detection methods for emerging microplastics
15. High-throughput sequencing based bioinformatics identification technologies for emerging biological contaminants
16. Mining technologies for functional gene markers of emerging contaminants
17. Statistical analysis and visualization of biological sequencing big data
18. Association of antimicrobial biodegradation with the evolution of antimicrobial resistance in ecosystems
19. Microbial Transformation of Per- and Polyfluoroalkyl Substances (PFAS)
20. Microbial dehalogenation mechanisms and prospects of bioremediation of persistent halogenated organic contaminants
21. Bacterial and Genetic Resources for Typical Emerging Pharmaceuticals and Personal Care Products (PPCPs) Degradation
22. Plastic contaminants in water and recent advances for bioremediation
23. Fate of emerging chemical contaminants in wastewater treatment system
24. Fate and risk management of antibiotic resistance genes (ARGs) in anaerobic digestion
25. Electron transfer regulation-based biotechnologies for emerging contaminants treatment
26. Physicochemical control technologies for emerging contaminants in sewage treatment plants
27. Nature-based control technologies for emerging contaminants
28. Leveraging weak electrical stimulation and artificial intelligence for sustainable microbial dehalogenation in groundwater remediation
29. Using isotope tracers to elucidate the fate of organic micropollutants in the environment
30. Modeling processes and sensitivity analysis of machine learning methods for environmental data
31. Advances in pollution source identification in the integrated drainage system
32. Data-driven management strategies for carbon emissions and emerging contaminants control in wastewater treatment plants
33. A Julia based activated sludge modeling program toward emerging contaminants management
34. Mathematical modelling for emerging contaminants during wastewater treatment
35. Current developments in machine learning models with boosting algorithms for the prediction of water quality
36. New situation of water resources management and water pollution control
37. The value of water resources and the emerging contaminants management