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Cited by 446

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Advanced technologies in water and wastewater treatment

Zhou, H, Smith, Daniel W·2002·Journal of Environmental Engineering and Science

Abstract

The use of conventional water and wastewater treatment processes becomes increasingly challenged with the identification of more and more contaminants, rapid growth of population and industrial activities, and diminishing availability of water resources. Three emerging treatment technologies, including membrane filtration, advanced oxidation processes (AOPs), and UV irradiation, hold great promise to provide alternatives for better protection of public health and the environment and thus are reviewed in this paper. The emphasis was placed on their basic principles, main applications, and new developments. Advantages and disadvantages of these technologies are compared to highlight their current limitations and future research needs. It can be concluded that, along with the growing knowledge and the advances in manufacturing industry, the applications of these technologies will be increased at an unprecedented scale. Key words: water treatment, wastewater treatment, membrane filtration, ozonation, advanced oxidation processes, UV irradiation.

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Crossref · 10.1139/s02-020

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Metadata

Authors
Zhou, H., & Smith, D. W.
Venue
Journal of Environmental Engineering and Science
Publisher
Emerald
Published
2002-07-01
Volume
1
Issue
4
Pages
247-264
ISSN
  • 1496-2551 (ISSN-L)
  • 1496-256X
OpenAlex
W2164393780
Cited by
446
References
1
FWCI
9.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advanced technologies in water and wastewater treatment. https://app.cochat.ai/papers/10.1139/s02-020
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Zhou, H., & Smith, D. W. (2002). Advanced technologies in water and wastewater treatment. Journal of Environmental Engineering and Science. https://doi.org/10.1139/s02-020

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.