Association of runoff risk with private well contamination in a fractured dolostone aquifer

In the United States, private well owners are responsible for monitoring and maintaining their drinking water but have little control over neighboring contamination sources and limited information about daily water quality. Potential for rapid contamination in karst settings exacerbates the challenge. The Runoff Risk Advisory Forecast (RRAF) is a real-time online tool available in five US states that helps nutrient applicators avoid times and locations of high runoff risk. We wanted to determine if RRAF could be repurposed in areas susceptible to groundwater contamination to inform well owners of conditions when contamination is likely. Private wells were repeatedly sampled on seven dates (32-36 wells per date) and analyzed for nitrate-nitrogen, total coliforms, and bovine manure markers. Three-day windows of RRAF risk prior to sampling were selected post hoc, ranging from 1 to 3 days prior for manure markers to 10-12 days prior for nitrate. Contaminants were associated with RRAF values of ≥75% within these windows based on observed weather. A hydrologic association between RRAF risk and groundwater depth was also apparent. Overall, results suggest the RRAF model anticipates conditions of elevated contamination risk for susceptible wells. For nitrate, between-well variation and delayed peak concentration suggested that well location and construction factors may be more informative than runoff events. Microbial contamination was rapid and distributed among wells, with one or more detections of coliforms in 31% of wells and bovine markers in 61% of wells. Thus, a warning system based on the RRAF model could help identify conditions of acute pathogen exposure.

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Publication Details

Journal
Journal of Environmental Quality
Published
2026-10-29
DOI
https://doi.org/10.1002/jeq2.70296
Primary Topic
Fecal contamination and water quality
Type
article
Field-Weighted Citation Impact
0.00

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article

Association of runoff risk with private well contamination in a fractured dolostone aquifer

Mark A. Borchardt, Joe Heffron, Dustin C. Goering, Joel P. Stokdyk et al.
1 links
Journal of Environmental Quality
Fecal contamination and water quality
article

Association of runoff risk with private well contamination in a fractured dolostone aquifer

Mark A. Borchardt, Joe Heffron, Dustin C. Goering, Joel P. Stokdyk, Burney A. Kieke, Eric O. Young, Jessica F. Sherman, Aaron D. Firnstahl, Tucker R. Burch, Rachel Cook
article en

Abstract

In the United States, private well owners are responsible for monitoring and maintaining their drinking water but have little control over neighboring contamination sources and limited information about daily water quality. Potential for rapid contamination in karst settings exacerbates the challenge. The Runoff Risk Advisory Forecast (RRAF) is a real-time online tool available in five US states that helps nutrient applicators avoid times and locations of high runoff risk. We wanted to determine if RRAF could be repurposed in areas susceptible to groundwater contamination to inform well owners of conditions when contamination is likely. Private wells were repeatedly sampled on seven dates (32-36 wells per date) and analyzed for nitrate-nitrogen, total coliforms, and bovine manure markers. Three-day windows of RRAF risk prior to sampling were selected post hoc, ranging from 1 to 3 days prior for manure markers to 10-12 days prior for nitrate. Contaminants were associated with RRAF values of ≥75% within these windows based on observed weather. A hydrologic association between RRAF risk and groundwater depth was also apparent. Overall, results suggest the RRAF model anticipates conditions of elevated contamination risk for susceptible wells. For nitrate, between-well variation and delayed peak concentration suggested that well location and construction factors may be more informative than runoff events. Microbial contamination was rapid and distributed among wells, with one or more detections of coliforms in 31% of wells and bovine markers in 61% of wells. Thus, a warning system based on the RRAF model could help identify conditions of acute pathogen exposure.

Journal of Environmental QualityVol. 55(6)
United States Geological Survey (US), Agricultural Research Service (US), United States Department of Agriculture (US), NOAA National Weather Service (US), Upper Midwest Water Science Center (US), Marshfield Clinic Research Foundation (US), Marshfield Clinic Research Institute (US)
U.S. Department of Agriculture, Agricultural Research Service
Clean water and sanitation, Good health and well-being
Openalex Percentile: Top 25%
Fecal contamination and water quality
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