UID:
almahu_9949112416902882
Format:
1 online resource (various pagings) :
,
illustrations (some color).
ISBN:
9780750330473
,
9780750330466
Series Statement:
IOP series in spectroscopic methods and applications
Content:
Though the use of various spectroscopic methods and sensor technology is routine in water quality evaluation. Coupled with artificial intelligence, machine learning, and deep learning methods are opening a new era of quality monitoring and predictive analysis. This book acquaints experienced readers with recent advances and how these techniques are finding applications in water analysis for sectors including environmental protection, industry, agriculture, and drinking water provision. Taking a bottom-up approach the work is also suited for an interdisciplinary readership who may not have direct experience in a particular technique. Qualitative and quantitative analysis of data with the help of observed data is included, as are case studies. Part of IOP Series in Spectroscopic Methods and Applications.
Note:
"Version: 20210204"--Title page verso.
,
1. FTIR spectroscopy and water quality / Daniel Cozzolino -- 2. Fluorescence spectroscopy and applications in water quality monitoring / Cong Wang and Daoliang Li -- 3. Paper-based optical sensors for water analysis and monitoring / Bambang Kuswandi -- 4. Nanocomposite materials for water purification : synthesis, characterization, and applications / Naumih M Noah and Peter M. Ndangili -- 5. Advancing water quality assessment via artificial neural networks (ANNs) / Sachchidanand Soaham Gupta, Rajeev Singh and Pratibha Chaudhary.
,
Also available in print.
,
Mode of access: World Wide Web.
,
System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
Additional Edition:
Print version: ISBN 9780750330459
Additional Edition:
ISBN 9780750330480
Language:
English
DOI:
10.1088/978-0-7503-3047-3
URL:
https://iopscience.iop.org/book/978-0-7503-3047-3
