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

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145,99 € UVP 167,60 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.06.2024

Herausgeber

Bin Liang + weitere

Verlag

Elsevier Science & Technology

Seitenzahl

668

Maße (L/B)

22,9/15,1 cm

Gewicht

450 g

Sprache

Englisch

ISBN

978-0-443-14170-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.06.2024

Herausgeber

Verlag

Elsevier Science & Technology

Seitenzahl

668

Maße (L/B)

22,9/15,1 cm

Gewicht

450 g

Sprache

Englisch

ISBN

978-0-443-14170-6

EU-Ansprechpartner

Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7
99095 Erfurt
DE
produktsicherheit@zeitfracht.de

Herstelleradresse

Elsevier Science & Technology
London Wall 125
EC2Y 5AS London
GB
tradeorders@elsevier.com

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

  • 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