Reprint

Water Quality, Water Security and Risk Assessment

Edited by
March 2024
198 pages
  • ISBN978-3-7258-0448-1 (Hardback)
  • ISBN978-3-7258-0447-4 (PDF)

This book is a reprint of the Special Issue Water Quality, Water Security and Risk Assessment that was published in

Biology & Life Sciences
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Public Health & Healthcare
Summary

Water is very important for the existence of living things. Several studies have found that clean water laden with toxic chemical (heavy metals, pharmaceuticals, microplastics, pesticide residues, and perfluorooctanoic acid), radiological (radioactive elements such as uranium, cesium, and plutonium), and microbiological (bacteria, viruses, and protozoa) contaminants through unintentional and intentional means can be detrimental to living things when consumed. These contaminants could occur via anthropogenic or natural activities. Therefore, to prevent pollution and to limit the presence of conventional and emerging contaminants in various sources of water, it is imperative to devise water adaptive strategies to remediate water pollution in varied water sources, especially for climate-related pollution triggers, and to conduct routine water quality monitoring, assessment, and security evaluation to determine its useability (suitability) and associated health risks. This Special Issue welcomed original research, review articles, perspective articles, mini-reviews, opinions, and short communications describing recent findings on water quality, security, and risk assessment on a global scale.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
groundwater; hydrogeochemistry; hydrochemical facies; seawater intrusion; water quality; Eastern Desert; groundwater; hydrochemistry; quality; health risk; China; remote sensing; hyperspectral data; RGB; in situ; ochre-coloured rivers; pyrite weathering; water constituents; water quality; sachet water; water quality; bacteriological quality; public health; drinking water; water quality index; artificial intelligence; support vector machine; Gaussian process regression; stepwise regression; pollution status; river water quality; source apportionment; agricultural pollution; LULC; linear alkylbenzenes; sediment; internally over exterior; pollutants contained in wastewater; degradation; molecular marker; turbidity; surface water pollution; tequila industry; Atizcoa stream; Jarritos Stream; emerging pollutants; spatial distribution; endocrine disruptors; brominated flame retardants; perfluorinated compounds; microplastics; inter-plant water network; nonlinear programming; freshwater consumption; mathematical approach; multiple contaminants