Shu-Hong Gao & Bin Liang 
Water Security: Big Data-Driven Risk Identification, Assessment and Control of Emerging Contaminants [EPUB ebook] 

Sokongan
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
€182.50
cara bayaran
Beli ebook ini dan dapatkan 1 lagi PERCUMA!
Bahasa Inggeris ● Format EPUB ● Halaman-halaman 380 ● ISBN 9780443141713 ● Penyunting Shu-Hong Gao & Bin Liang ● Penerbit Elsevier Science ● Diterbitkan 2024 ● Muat turun 3 kali ● Mata wang EUR ● ID 9496072 ● Salin perlindungan Adobe DRM
Memerlukan pembaca ebook yang mampu DRM

Lebih banyak ebook daripada pengarang yang sama / Penyunting

30,975 Ebooks dalam kategori ini