Water Security: Big Data-Driven Risk Identification, Assessment and Control of Emerging Contaminants

1st Edition - June 12, 2024
Imprint: Elsevier
Editors: Bin Liang, Shu-Hong Gao, Hongcheng Wang
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 1 4 1 7 0 - 6
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 1 4 1 7 1 - 3

Water Security: Big Data-Driven Risk Identification, Assessment and Control of Emerging Contaminants contains the latest information on big data-driven risk detection and an… Read more

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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.

Cover image
Title page
Table of Contents
Copyright
List of contributors
About the editors
Foreword
Acknowledgments
Chapter 1. Pollution distribution characteristics and ecological risks of typical emerging chemical contaminants in aquatic environments
Abstract
1.1 Introduction
1.2 Categorization and sources of emerging contaminants in the environment
1.3 Pollution status and distribution of characteristic emerging contaminants
1.4 Transport of emerging contaminants in aquatic environments
1.5 Transformation of emerging contaminants in the environment and associated environmental effects
1.6 Current status and outlooks of emerging contaminants’ ecological risk characterization strategies
1.7 Conclusion
Acknowledgments
References
Chapter 2. Micro(nano)plastic-mediated water ecological risks and control technologies
Abstract
2.1 Introduction
2.2 Dual effects of M/NPs on microorganisms
2.3 Macro perspectives: mostly adverse effects of M/NPs
2.4 The impact of M/NPs on human health
2.5 Ecological risks mediated by M/NPs and relevant impacting factors
2.6 Ecological risk assessment mediated by M/NPs
2.7 Monitoring strategies of M/NPs in water environment
2.8 The advances of M/NPs monitoring
2.9 Conclusion
Acknowledgments
References
Chapter 3. Environmental DNA and toxicogenomics in ecological health risk assessment
Abstract
3.1 Introduction
3.2 The challenges of ecological assessment in the Anthropocene era
3.3 eDNA metabarcoding for monitoring biodiversity and assessing ecological risks of pollution at the community level
3.4 Functional genomes and transcriptomes identifying toxic effects and mechanisms at the molecular level
3.5 Conclusion
Acknowledgment
References
Chapter 4. Dissemination mechanism of antibiotic resistance genes in water environment
Abstract
4.1 Introduction
4.2 Horizontal transfer mechanisms of ARGs in water environment
4.3 Main factors affecting the spread of ARGs
4.4 Physical and chemical properties of water environment
4.5 Future perspectives
References
Chapter 5. Environmental behavior and risk of antibiotic resistance genes in water environments
Abstract
5.1 Introduction
5.2 ARGs are emerging environmental pollutants
5.3 Origin and occurrence of ARGs in natural water bodies
5.4 Pollution characteristics of ARGs in wastewater
5.5 Environmental behavior of ARGs in the water environment
5.6 Ecological and health risks of ARGs in the water environment
5.7 Future research directions
Acknowledgments
References
Chapter 6. Pathogens in engineered water systems
Abstract
6.1 Introduction
6.2 Occurrence of pathogens in different sections of engineered water systems
6.3 Characteristics related to pathogen survival, potential resistance, and pathogenicity
6.4 Conclusion
Acknowledgments
References
Chapter 7. Environmental ecology and health risk assessment of pathogens in the environment
Abstract
7.1 Introduction
7.2 Pathogenic microbial contamination and harm
7.3 Model of the dissemination of pathogens
7.4 Ecological and health risk assessment of pathogens
7.5 Conclusion
Acknowledgments
References
Chapter 8. Ecological health assessment of natural water bodies by plankton
Abstract
8.1 Introduction
8.2 Materials and methods
8.3 Results
8.4 Discussion
References
Chapter 9. Analytical approaches, occurrence, migration, and transformation mechanisms of emerging contaminants in multiple media
Abstract
9.1 Introduction
9.2 Analytical approaches of emerging contaminants
9.3 The occurrence of emerging contaminants
9.4 Migration and transformation mechanisms of emerging contaminants
9.5 Treatment and remediation technologies for emerging contaminants
9.6 Conclusion
References
Chapter 10. Biosensors and biodegradation for emerging contaminants based on synthetic biology
Abstract
10.1 Introduction
10.2 Parts for biosensors of ECs
10.3 Biodegradation of ECs
10.4 Conclusion
Acknowledgments
References
Chapter 11. Advanced detection technologies for emerging contaminants based on sensors
Abstract
11.1 Introduction
11.2 Photoelectrochemical sensor
11.3 Colorimetric sensor
11.4 Surface-enhanced Raman spectroscopy sensor
11.5 Conclusion and prospects
References
Chapter 12. Optical real-time online sensing technologies and challenges for emerging contaminants
Abstract
12.1 Introduction
12.2 Optical real-time online sensing technologies
12.3 Application of real-time online optical sensing technology for the detection of emerging contaminants
12.4 Challenges in real-time online sensing of emerging contaminants
12.5 Prospects and conclusions for the future
Acknowledgments
References
Chapter 13. Suspect and nontarget screening technologies for emerging contaminants
Abstract
13.1 Introduction
13.2 Suspect screening analysis and nontarget analysis
13.3 Transformation products analysis
13.4 Open-source tools and workflows for suspect screening analysis/nontarget screening analysis
13.5 Conclusions and perspectives
Acknowledgments
References
Chapter 14. Detection methods for emerging microplastics
Abstract
14.1 Introduction
14.2 Methods for sampling and extraction of MPs
14.3 Detection technologies of MPs
14.4 Occurrence of MPs in different aquatic environments
14.5 Conclusion
Acknowledgments
References
Chapter 15. High-throughput sequencing-based bioinformatics identification technologies for emerging biological risk factors
Abstract
15.1 Introduction
15.2 Fundamental principles and procedure of high-throughput gene sequencing technologies
15.3 The application of bioinformatic identification methods based on high-throughput sequencing technologies
15.4 Challenge and perspectives of environmental bioinformatics analysis
15.5 Conclusion and outlook
Acknowledgments
References
Chapter 16. Mining technologies for functional gene markers of emerging contaminants
Abstract
16.1 Introduction
16.2 Traditional methods for identifying degradation functional genes
16.3 High-throughput multiomics analysis methods
16.4 Conclusions
Acknowledgments
References
Chapter 17. Statistical analyses and visualization of biological sequencing big data
Abstract
17.1 Data mining in microbial community ecology
17.2 Microbial functional trait-based ecology
17.3 Interactive microbiome analytics and visualization
17.4 Basics of modeling for environmental processes
17.5 Gene-informed environmental modeling
17.6 Machine learning in unveiling the Big Data
Acknowledgments
References
Chapter 18. Association of antimicrobial biodegradation with the evolution of antimicrobial resistance in ecosystems
Abstract
18.1 Introduction
18.2 The antimicrobial resistance mediated by enzymatic inactivation
18.3 The relationship between antimicrobial biodegradation and AMR evolution
18.4 Limitations and future perspectives for this double-edged sword
18.5 Conclusion
Acknowledgments
References
Chapter 19. Microbial transformation of per- and polyfluoroalkyl substances
Abstract
19.1 Introduction
19.2 PFAS usage and environmental occurrence
19.3 PFAS analytical methods used in microbial transformation
19.4 Microbial transformation of PFAS
19.5 Conclusion and outlook of future studies
Acknowledgment
References
Chapter 20. Microbial dehalogenation mechanisms and prospects of bioremediation of persistent halogenated organic contaminants
Abstract
20.1 Organohalides in the environment
20.2 Phylogenetic diversity of organohalide-respiring bacteria
20.3 Ubiquitous reductive dehalogenases
20.4 Electron transport chains in OHRB
20.5 Implication for organohalide-contaminated site bioremediation
20.6 Conclusions
Acknowledgments
References
Chapter 21. Bacterial and genetic resources for typical emerging pharmaceuticals and personal care products degradation
Abstract
21.1 Introduction
21.2 Degradative bacteria for typical pharmaceuticals and personal care products
21.3 Degradation pathways and functional genes for typical pharmaceuticals and personal care products
21.4 Future perspectives
Acknowledgment
References
Chapter 22. Plastic contaminants in water and recent advances in bioremediation
Abstract
22.1 Introduction
22.2 Sources and types of plastic contaminants in water
22.3 Impacts of plastic contaminants in water
22.4 Bioremediation technologies for plastic removal from water
22.5 Sustainable PW management practices
22.6 Gaps of knowledge and future perspectives
22.7 Conclusions
References
Chapter 23. Fate of emerging chemical contaminants in wastewater treatment system
Abstract
23.1 Introduction
23.2 Fate of ECCs in wastewater treatment process
23.3 The fate of the ECCs in WAS treatment
23.4 Conclusions
Acknowledgments
Abbreviations
References
Chapter 24. Fate and risk management of antibiotic resistance genes in anaerobic digestion
Abstract
24.1 Introduction
24.2 Fate of iARGs and eARGs in AD
24.3 Impacts of biotic factors on the fate of ARGs in AD
24.4 Influence of abiotic factors on the fate of ARGs in AD
24.5 Perspective
Acknowledgments
References
Chapter 25. Electron transfer regulation-based biotechnology for emerging contaminants treatment
Abstract
25.1 Introduction
25.2 Principles, microbial mechanisms, and investigations
25.3 Pilot-scale application of electrostimulation-regulated biological treatment
25.4 Concluding remarks and future perspectives: from microbial mechanisms to engineering applications
Acknowledgments
References
Chapter 26. Physicochemical control technologies for emerging contaminants in sewage treatment plants
Abstract
26.1 Introduction
26.2 Occurrence and fate of emerging contaminants in wastewater treatment plants
26.3 High retention membrane technology for emerging contaminants removal
26.4 Electrified membranes for emerging contaminants removal
26.5 Advanced oxidation processes for emerging contaminants removal
26.6 Scale-up of physicochemical treatment technologies
26.7 Conclusions and future aspects
References
Chapter 27. Nature-based solutions for emerging contaminants removal
Abstract
27.1 Introduction
27.2 Emerging contaminants: characteristics, classification, occurrence, and eco-toxic effects
27.3 Nature-based solutions for emerging contaminants treatment
27.4 Conclusion
References
Chapter 28. Leveraging weak electrical stimulation and artificial intelligence for sustainable microbial dehalogenation in groundwater remediation
Abstract
28.1 Introduction
28.2 Enhanced microbial reductive dehalogenation via electrode stimulation
28.3 Electrode-enhanced microbial reductive dehalogenation for in situ groundwater remediation
28.4 Leveraging machine learning models to enhance the Electrode-enhanced microbial reductive dehalogenation process
28.5 Challenges and perspectives
Acknowledgments
References
Chapter 29. Using isotope tracers to elucidate the fate of organic micropollutants in the environment
Abstract
29.1 Introduction
29.2 Use of radioactive isotope tracers
29.3 Use of stable isotope tracers
29.4 Conclusion
Acknowledgments
References
Chapter 30. Modeling processes and sensitivity analysis of machine learning methods for environmental data
Abstract
30.1 Introduction
30.2 Machine learning in environmental science and engineering
30.3 Machine learning models development and sensitivity analysis
30.4 Perspective
References
Chapter 31. Advances in pollution source identification in the integrated drainage system
Abstract
31.1 Introduction
31.2 Review methodology
31.3 Basic principles and flexibility of pollution source identification methods
31.4 Emerging issues and future directions
31.5 Conclusion
Conflict of Interest
Acknowledgments
References
Chapter 32. Data-driven management strategies for carbon emissions and emerging contaminants control in wastewater treatment plants
Abstract
32.1 Introduction
32.2 Carbon emissions and ECs control in wastewater treatment plants
32.3 Data-driven strategies for carbon emissions and ECs control
32.4 Challenges
32.5 Future opportunities and outlook
References
Chapter 33. A Julia-based activated sludge modeling program for emerging contaminants management
Abstract
33.1 Introduction
33.2 Materials and methods
33.3 Results
33.4 Perspective of developing an ASM-ECs and control model framework based on this Julia model
33.5 Conclusion
Conflict of Interest
Acknowledgments
References
Chapter 34. Modeling removal of emerging contaminants during wastewater treatment processes
Abstract
34.1 Introduction
34.2 Modeling removal processes of emerging contaminants
34.3 Model development
34.4 Specific models for removal of emerging contaminants
34.5 Research perspectives
Acknowledgments
References
Chapter 35. Current developments in machine learning models with boosting algorithms for the prediction of water quality
Abstract
35.1 Introduction
35.2 Current situation: machine learning and water quality assessment
35.3 Performance of boosting algorithms in water quality prediction
35.4 Future research perspectives
35.5 Conclusion
Acknowledgment
List of Abbreviations
References
Chapter 36. New situation of water resources management and water pollution control
Abstract
36.1 Water policy for water security
36.2 Current emerging contaminants regulatory policies and organizations
36.3 Challenges in regulatory system
36.4 Current regulatory trends
References
Chapter 37. The value of water resources and the emerging contaminants management
Abstract
37.1 The water economy
37.2 The water management
37.3 The emerging contaminants management
References
Index

Bin Liang

Dr. Bin Liang is a professor at Harbin Institute of Technology, Shenzhen, P.R. China. He received his PhD from Harbin Institute of Technology in 2014. Dr. Liang’s research focuses on ecological risk assessment and management of water contaminants. He has systematically investigated the biodegradation mechanisms of emerging contaminants (e.g., antimicrobial agents, refractory organic nitrogen/halide) in water reclamation and treatment systems. He is especially interested in developing green technologies for environmental management and novel methods for environmental monitoring. He has published over 100 Science Citation Index (SCI) papers (18 in high-impact journals ES&T, Water Res and Appl Environ Microbiol), 1 Springer book (as the second editor), 1 standard, and has been authorized 5 patents. His publications have been cited 4000 times, with an H-index of 42. He is a member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences and has won the second prize of the National Technological Invention Award (2020), the first prize of the Environmental Protection Science and Technology Award (2017), the Industry-University-Research Cooperation Innovation Award (2021), and the Microbial Ecology Youth Science and Technology Innovation Award (2015).

Affiliations and expertise

Professor, Harbin Institute of Technology, School of Civil & Environmental Engineering, Shenzhen, P.R. China

Shu-Hong Gao

Dr. Shuhong Gao is an assistant professor at Harbin Institute of Technology, Shenzhen, P.R. China. She received her PhD from The University of Queensland in 2017. Dr. Gao’s research focuses on emerging contaminants in urban water, as well as antibiotic resistance, and pathogens related to wastewater epidemiology. She has systematically investigated microplastic-mediated ecological risks and biosafety in aquatic environments. She is particularly interested in “omics” analysis of environmental microbes. She has initiated the construction of Global Water Pathogen Database to unravel the occurrence of pathogens in aquatic systems and to clarify the mechanisms between bio-pollutants transmission and health risks. She presided or participated in over 10 (inter)national/provincial projects. She is the Early-Career Editorial Board member of journal of Environmental Science and Ecotechnology. She has won the Travel Award of 2017 ASM Microbe and the Travel Award of 2019 Chinese Environmental Scholars Forum and was recognized as Overseas high-caliber personnel (Level C) in 2020. She has published over 50 SCI papers (12 in high-impact journals ES&T and Water Res, total citations over 1450), with an H-index of 21.

Affiliations and expertise

Assistant Professor, Harbin Institute of Technology, School of Civil & Environmental Engineering, Shenzhen, P.R. China

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health