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

by Bin Liang (Editor), Shu-Hong Gao, Hongcheng Wang

Water 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, environmental health effect, intelligent risk control technologies, and global control strategies. 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. Next, it discusses the ecological risk assessment and environmental health effects of emerging contaminants and 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.

668 pages, Paperback

Published June 27, 2024

About the author

Bin Liang is an associate professor of sociology at Oklahoma State University–Tulsa. He is the author of The Changing Chinese Legal System, 1978–Present: Centralization of Power and Rationalization of the Legal System, coauthor of China's Drug Practices and Policies: Regulating Controlled Substances in a Global Context, and with Hong Lu, coeditor of Jurisprudence: Contemporary Western Sociological Studies and Developments.