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Cited by 382

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Overview of the Main Disinfection Processes for Wastewater and Drinking Water Treatment Plants

Open access
Collivignarelli, Maria, Abbà, Alessandro, Benigna, Ilaria, Sorlini, Sabrina, Torretta, Vincenzo·2017·Sustainability

Abstract

The use of water disinfection as a public health measure reduces the spread of diseases. Various disinfection technologies can be used to meet the pathogen inactivation demand in water. This work is an overview of the main disinfection technologies of wastewater and drinking water that reports for the conventional processes the action mechanism, the possible formation of by-products, the operative conditions, the advantages and disadvantages. For advanced and natural processes the action mechanisms are reported. Advanced technologies are interesting but are still in the research state, while conventional technologies are the most used. There is a tendency, especially in Italy, to use chlorine-based disinfectant, despite in some forms could lead to production of disinfection by-products.

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Crossref · 10.3390/su10010086

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Metadata

Authors
Collivignarelli, M., Abbà, A., Benigna, I., Sorlini, S., & Torretta, V.
Venue
Sustainability
Publisher
MDPI AG
Published
2017-12-31
Volume
10
Issue
1
Pages
86
ISSN
2071-1050 (ISSN-L)
OpenAlex
W2781664195
Cited by
382
References
44
FWCI
10.65
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Overview of the Main Disinfection Processes for Wastewater and Drinking Water Treatment Plants. https://app.cochat.ai/papers/10.3390/su10010086
The paper
Collivignarelli, M., Abbà, A., Benigna, I., Sorlini, S., & Torretta, V. (2017). Overview of the Main Disinfection Processes for Wastewater and Drinking Water Treatment Plants. Sustainability. https://doi.org/10.3390/su10010086

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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.