Water Security : Big Data Driven Risk Identification, Assessment and Control of Emerging Contaminants
Language: English
Published by Elsevier, 2024
- Softcover
- New

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- Title
- Water Security : Big Data Driven Risk Identification, Assessment and Control of Emerging Contaminants
- Author
- Liang, Bin (EDT); Gao, Shu-hong (EDT); Wang, Hong-Cheng (EDT); Wang, Ai-jie (EDT)
- Publisher
- Elsevier
- Publication year
- 2024
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0443141703
- ISBN 13
- 9780443141706
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.
- 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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About the Author
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.
"About the title" may belong to another edition of this title.
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