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Herausgeber: 
  • Bin Liang
  • Shu-Hong Gao
  • Hongcheng Wang
  • Water Security: Big Data-Driven Risk Identification, Assessment and Control of Emerging Contaminants 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Vorankündigung
    Veröffentlichung:  ANGEKÜNDIGT (Juni 2024)  
    Genre:  Naturwissensch., Medizin, Technik 
    ISBN:  9780443141706 
    EAN-Code: 
    9780443141706 
    Verlag:  Elsevier Science 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 151 mm / D  
    Seiten:  380 
    Bewertung: Keine Bewertung vor Veröffentlichung möglich.
    Inhalt:

    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.

      
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