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Cited by 691

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

Nitrate Removal From Drinking Water—Review

Kapoor, Anoop, Viraraghavan, T.·1997·Journal of Environmental Engineering
DOI 10.1061/(asce)0733-9372(1997)123:4(371

Abstract

Nitrate concentrations in surface water and especially in ground water have increased in Canada, the United States, Europe, and other areas of the world. This trend has raised concern because nitrates cause methemoglobinemia in infants. Several treatment processes including ion exchange, biological denitrification, chemical denitrification, reverse osmosis, electrodialysis, and catalytic denitrification can remove nitrates from water with varying degrees of efficiency, cost, and ease of operation. Available technical data, experience, and economics indicate that ion exchange and biological denitrification are more acceptable for nitrate removal than reverse osmosis. Ion exchange is more viable for ground water while biological denitrification is the preferred alternative for surface water. This paper reviews the developments in the field of nitrate removal processes.

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Metadata

Authors
Kapoor, A., & Viraraghavan, T.
Venue
Journal of Environmental Engineering
Published
1997-04
Volume
123
Issue
4
Pages
371-380
ISSN
  • 0733-9372 (ISSN-L)
  • 1943-7870
DOI
10.1061/(asce)0733-9372(1997)123:4(371
OpenAlex
W2148172920
Cited by
691
References
1
FWCI
15.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nitrate Removal From Drinking Water—Review. https://app.cochat.ai/papers/10.1061/(asce)0733-9372(1997)123:4(371
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Kapoor, A., & Viraraghavan, T. (1997). Nitrate Removal From Drinking Water—Review. Journal of Environmental Engineering. https://doi.org/10.1061/(asce)0733-9372(1997)123%3A4(371

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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.