Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 868, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scitotenv.2023.161672
Keywords
Tapwater contaminants; Private wells; Agricultural health; Human health; Organics; Inorganics; Microbial
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Contaminant exposure in unregulated private-well tap water is a public health concern in the United States and globally. A study conducted in northeast Iowa farms found high levels of inorganics, organics, and microbial contaminants in private-well tap water. The presence of pesticides and bacteria in the water exceeds safe limits, highlighting the need for residential treatment systems and increased monitoring of rural private-well homes.
In the United States and globally, contaminant exposure in unregulated private-well point-of-use tapwater (TW) is a recognized public-health data gap and an obstacle to both risk-management and homeowner decision making. To help address the lack of data on broad contaminant exposures in private-well TW from hydrologically-vulnerable (al-luvial, karst) aquifers in agriculturally-intensive landscapes, samples were collected in 2018-2019 from 47 northeast Iowa farms and analyzed for 35 inorganics, 437 unique organics, 5 in vitro bioassays, and 11 microbial assays. Twenty- six inorganics and 51 organics, dominated by pesticides and related transformation products (35 herbicide-, 5 insecticide-, and 2 fungicide-related), were observed in TW. Heterotrophic bacteria detections were near ubiquitous (94 % of the samples), with detection of total coliform bacteria in 28 % of the samples and growth on at least one putative-pathogen selective media across all TW samples. Health-based hazard index screening levels were exceeded frequently in private-well TW and attributed primarily to inorganics (nitrate, uranium). Results support incorporation of residential treatment systems to protect against contaminant exposure and the need for increased monitoring of rural private-well homes. Continued assessment of unmonitored and unregulated private-supply TW is needed to model contaminant exposures and human-health risks.
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