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Chemical treatment technologies for waste-water recycling—an overview
Open accessAbstract
The global population is increasing and because of this, the world may experience great fresh water scarcity. Our water resources are limited and, hence, water treatment and recycling methods are the only alternatives for getting fresh water in the coming decades. Therefore, there is a great need for the development of a suitable, inexpensive and rapid wastewater treatment techniques and reuse or conservation methods in the present century. The different types of water treatment and recycling techniques have been discussed in terms of their basic principles, applications, costs, maintenance and suitability. Additionally, a systematic approach to water treatment and recycling involving their understanding, evaluation and selection parameters has been presented. A brief guideline for the selection of the appropriate technologies for specific applications has been evaluated. This review adds to the global discussions on water scarcity solutions.
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Cites
Da̧browski, A., Hubicki, Z., Podkościelny, P., & Robens, E. (2004) · Chemosphere · doi:10.1016/j.chemosphere.2004.03.006 · Cited by 1,717
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Metadata
- Authors
- Gupta, V. K., Ali, I., Saleh, T. A., Nayak, A., & Agarwal, S.
- Venue
- RSC Advances
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 2
- Issue
- 16
- Pages
- 6380
- ISSN
- 2046-2069 (ISSN-L)
- OpenAlex
- W1995157919
- Cited by
- 1,613
- References
- 1
- FWCI
- 173.96
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Gupta, V. K., Ali, I., Saleh, T. A., Nayak, A., & Agarwal, S. (2012). Chemical treatment technologies for waste-water recycling—an overview. RSC Advances. https://doi.org/10.1039/c2ra20340e
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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.