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Cited by 158

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

The nitrate contamination of private well water in Iowa.

Kross, B C, Hallberg, G R, Bruner, D R, Cherryholmes, K, Johnson, J K·1993·American Journal of Public Health

Abstract

The State-Wide Rural Well-Water Survey was conducted between April 1988 and June 1989. About 18% of Iowa's private, rural drinking-water wells contain nitrate above the recommended health advisory level (levels of NO3-N greater than 10 mg/L); 37% of the wells have levels greater than 3 mg/L, typically considered indicative of anthropogenic pollution. Thirty-five percent of wells less than 15 m deep exceed the health advisory level, and the mean concentration of nitrate-nitrogen for these wells exceeds 10 mg/L. Depth of well is the best predictor of well-water contamination. Individually, NO3-N levels of more than 10 mg/L occurred alone in about 4% of the private wells statewide; pesticides were present alone in about 5%. Total coliform positives occurred alone at 27% of the sites. In a cumulative sense, these three contaminants were detected in nearly 55% of rural private water supplies.

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Metadata

Authors
Kross, B. C., Hallberg, G. R., Bruner, D. R., Cherryholmes, K., & Johnson, J. K.
Venue
American Journal of Public Health
Published
1993-02
Volume
83
Issue
2
Pages
270-272
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2054613113
Cited by
158
References
1
FWCI
4.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The nitrate contamination of private well water in Iowa. https://app.cochat.ai/papers/10.2105/ajph.83.2.270
The paper
Kross, B. C., Hallberg, G. R., Bruner, D. R., Cherryholmes, K., & Johnson, J. K. (1993). The nitrate contamination of private well water in Iowa. American Journal of Public Health. https://doi.org/10.2105/ajph.83.2.270

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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.