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

Brossura

ISBN 10: 0443141703 ISBN 13: 9780443141706

Casa editrice: Elsevier Science Ltd, 2024

Riassunto

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.

Su questo libro

Informazioni sugli autori

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).

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.

Dalla quarta di copertina

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, the 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 generation 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 & engineering, environmental microbiology & microbiome, environmental informatics & bioinformatics, intelligent systems and knowledge engineering, this book provides an accessible and flexible resource for researchers and upper-level students working in these fields.

Dettagli dell?edizione

• Editore: Elsevier Science Ltd
• Data di pubblicazione: 2024
• ISBN 10: 0443141703
• ISBN 13: 9780443141706
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero edizione: 1
• Numero di pagine: 639
• Redattore: Liang Bin, Gao Shu-hong, Wang Hong-Cheng, Wang Ai-jie
• Contatto del produttore: non disponibile