Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona - 2010-2011

Macy, Jamie P.; Brown, Christopher; Anderson, Jessica R.

doi:10.3133/ofr20121102

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…The C aquifer and N aquifers, named for the Coconino sandstone and Navajo sandstone respectively, generally produce high quality water (Brown and Macy, 2012). The C aquifer is found throughout much of the Navajo Nation, while the N aquifer is found primarily in the central area of Navajo near the Hopi Indian Reservation (Macy et al, 2012). Both aquifers are comprised of multiple water-bearing formations that occur at different depths below surface level (Cooley et al, 1964).…”

Section: Discussionmentioning

confidence: 99%

Spatial clustering of metal and metalloid mixtures in unregulated water sources on the Navajo Nation – Arizona, New Mexico, and Utah, USA

Hoover

Coker

Barney

et al. 2018

Science of The Total Environment

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Contaminant mixtures are identified regularly in public and private drinking water supplies throughout the United States; however, the complex and often correlated nature of mixtures makes identification of relevant combinations challenging. This study employed a Bayesian clustering method to identify subgroups of water sources with similar metal and metalloid profiles. Additionally, a spatial scan statistic assessed spatial clustering of these subgroups and a human health metric was applied to investigate potential for human toxicity. These methods were applied to a dataset comprised of metal and metalloid measurements from unregulated water sources located on the Navajo Nation, in the southwest United States. Results indicated distinct subgroups of water sources with similar contaminant profiles and that some of these subgroups were spatially clustered. Several profiles had metal and metalloid concentrations that may have potential for human toxicity including arsenic, uranium, lead, manganese, and selenium. This approach may be useful for identifying mixtures in water sources, spatially evaluating the clusters, and help inform toxicological research investigating mixtures.

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Section: Discussionmentioning

confidence: 99%