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.
1. Water Security: Big Data-Driven Risk Identification, Assessment and Control of Emerging Contaminants - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. List of Contributors - p. xvii 7. About the Editors - p. xxv 8. Foreword - p. xxvii 9. Acknowledgments - p. xxix 10. Chapter 1 Pollution distribution characteristics and ecological risks of typical emerging chemical contaminants in aquatic environments - p. 1 11. Chapter 2 Micro(nano)plastic-mediated water ecological risks and control technologies - p. 21 12. Chapter 3 Environmental DNA and toxicogenomics in ecological health risk assessment - p. 41 13. Chapter 4 Dissemination mechanism of antibiotic resistance genes in water environment - p. 55 14. Chapter 5 Environmental behavior and risk of antibiotic resistance genes in water environments - p. 69 15. Chapter 6 Pathogens in engineered water systems - p. 79 16. Chapter 7 Environmental ecology and health risk assessment of pathogens in the environment - p. 99 17. Chapter 8 Ecological health assessment of natural water bodies by plankton - p. 123 18. Chapter 9 Analytical approaches, occurrence, migration, and transformation mechanisms of emerging contaminants in multiple media - p. 137 19. Chapter 10 Biosensors and biodegradation for emerging contaminants based on synthetic biology - p. 153 20. Chapter 11 Advanced detection technologies for emerging contaminants based on sensors - p. 169 21. Chapter 12 Optical real-time online sensing technologies and challenges for emerging contaminants - p. 185 22. Chapter 13 Suspect and nontarget screening technologies for emerging contaminants - p. 205 23. Chapter 14 Detection methods for emerging microplastics - p. 229 24. Chapter 15 High-throughput sequencing-based bioinformatics identification technologies for emerging biological risk factors - p. 251 25. Chapter 16 Mining technologies for functional gene markers of emerging contaminants - p. 273 26. Chapter 17 Statistical analyses and visualization of biological sequencing big data - p. 289 27. Chapter 18 Association of antimicrobial biodegradation with the evolution of antimicrobial resistance in ecosystems - p. 299 28. Chapter 19 Microbial transformation of per- and polyfluoroalkyl substances - p. 317 29. Chapter 20 Microbial dehalogenation mechanisms and prospects of bioremediation of persistent halogenated organic contaminants - p. 337 30. Chapter 21 Bacterial and genetic resources for typical emerging pharmaceuticals and personal care products degradation - p. 351 31. Chapter 22 Plastic contaminants in water and recent advances in bioremediation - p. 375 32. Chapter 23 Fate of emerging chemical contaminants in wastewater treatment system - p. 395 33. Chapter 24 Fate and risk management of antibiotic resistance genes in anaerobic digestion - p. 409 34. Chapter 25 Electron transfer regulation-based biotechnology for emerging contaminants treatment - p. 421 35. Chapter 26 Physicochemical control technologies for emerging contaminants in sewage treatment plants - p. 437 36. Chapter 27 Nature-based solutions for emerging contaminants removal - p. 461 37. Chapter 28 Leveraging weak electrical stimulation and artificial intelligence for sustainable microbial dehalogenation in groundwater remediation - p. 475 38. Chapter 29 Using isotope tracers to elucidate the fate of organic micropollutants in the environment - p. 491 39. Chapter 30 Modeling processes and sensitivity analysis of machine learning methods for environmental data - p. 511 40. Chapter 31 Advances in pollution source identification in the integrated drainage system - p. 523 41. Chapter 32 Data-driven management strategies for carbon emissions and emerging contaminants control in wastewater treatment plants - p. 537 42. Chapter 33 A Julia-based activated sludge modeling program for emerging contaminants management - p. 551 43. Chapter 34 Modeling removal of emerging contaminants during wastewater treatment processes - p. 563 44. Chapter 35 Current developments in machine learning models with boosting algorithms for the prediction of water quality - p. 575 45. Chapter 36 New situation of water resources management and water pollution control - p. 593 46. Chapter 37 The value of water resources and the emerging contaminants management - p. 605 47. Index - p. 615
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.
1. Water Security: Big Data-Driven Risk Identification, Assessment and Control of Emerging Contaminants - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. List of Contributors - p. xvii 7. About the Editors - p. xxv 8. Foreword - p. xxvii 9. Acknowledgments - p. xxix 10. Chapter 1 Pollution distribution characteristics and ecological risks of typical emerging chemical contaminants in aquatic environments - p. 1 11. Chapter 2 Micro(nano)plastic-mediated water ecological risks and control technologies - p. 21 12. Chapter 3 Environmental DNA and toxicogenomics in ecological health risk assessment - p. 41 13. Chapter 4 Dissemination mechanism of antibiotic resistance genes in water environment - p. 55 14. Chapter 5 Environmental behavior and risk of antibiotic resistance genes in water environments - p. 69 15. Chapter 6 Pathogens in engineered water systems - p. 79 16. Chapter 7 Environmental ecology and health risk assessment of pathogens in the environment - p. 99 17. Chapter 8 Ecological health assessment of natural water bodies by plankton - p. 123 18. Chapter 9 Analytical approaches, occurrence, migration, and transformation mechanisms of emerging contaminants in multiple media - p. 137 19. Chapter 10 Biosensors and biodegradation for emerging contaminants based on synthetic biology - p. 153 20. Chapter 11 Advanced detection technologies for emerging contaminants based on sensors - p. 169 21. Chapter 12 Optical real-time online sensing technologies and challenges for emerging contaminants - p. 185 22. Chapter 13 Suspect and nontarget screening technologies for emerging contaminants - p. 205 23. Chapter 14 Detection methods for emerging microplastics - p. 229 24. Chapter 15 High-throughput sequencing-based bioinformatics identification technologies for emerging biological risk factors - p. 251 25. Chapter 16 Mining technologies for functional gene markers of emerging contaminants - p. 273 26. Chapter 17 Statistical analyses and visualization of biological sequencing big data - p. 289 27. Chapter 18 Association of antimicrobial biodegradation with the evolution of antimicrobial resistance in ecosystems - p. 299 28. Chapter 19 Microbial transformation of per- and polyfluoroalkyl substances - p. 317 29. Chapter 20 Microbial dehalogenation mechanisms and prospects of bioremediation of persistent halogenated organic contaminants - p. 337 30. Chapter 21 Bacterial and genetic resources for typical emerging pharmaceuticals and personal care products degradation - p. 351 31. Chapter 22 Plastic contaminants in water and recent advances in bioremediation - p. 375 32. Chapter 23 Fate of emerging chemical contaminants in wastewater treatment system - p. 395 33. Chapter 24 Fate and risk management of antibiotic resistance genes in anaerobic digestion - p. 409 34. Chapter 25 Electron transfer regulation-based biotechnology for emerging contaminants treatment - p. 421 35. Chapter 26 Physicochemical control technologies for emerging contaminants in sewage treatment plants - p. 437 36. Chapter 27 Nature-based solutions for emerging contaminants removal - p. 461 37. Chapter 28 Leveraging weak electrical stimulation and artificial intelligence for sustainable microbial dehalogenation in groundwater remediation - p. 475 38. Chapter 29 Using isotope tracers to elucidate the fate of organic micropollutants in the environment - p. 491 39. Chapter 30 Modeling processes and sensitivity analysis of machine learning methods for environmental data - p. 511 40. Chapter 31 Advances in pollution source identification in the integrated drainage system - p. 523 41. Chapter 32 Data-driven management strategies for carbon emissions and emerging contaminants control in wastewater treatment plants - p. 537 42. Chapter 33 A Julia-based activated sludge modeling program for emerging contaminants management - p. 551 43. Chapter 34 Modeling removal of emerging contaminants during wastewater treatment processes - p. 563 44. Chapter 35 Current developments in machine learning models with boosting algorithms for the prediction of water quality - p. 575 45. Chapter 36 New situation of water resources management and water pollution control - p. 593 46. Chapter 37 The value of water resources and the emerging contaminants management - p. 605 47. Index - p. 615
