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Vulnerability of shallow groundwater and drinking-water wells to nitrate in the United States

Environmental Science & Technology

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ORCID iD and
https://doi.org/10.1021/es060911u

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  • More information: Publisher Index Page (via DOI)
  • Metadata:
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Model output data set (gwava-s_out)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for population density (gwava-s_popd)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for slope (gwava-s_slop)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for fresh surface water withdrawal (gwava-s_swus)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for water input (gwava-dw_wtin)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for clay sediment (gwava-s_clay)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for irrigation tailwater recovery (gwava-s_twre)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for basalt and volcanic rocks (gwava-s_vrox)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for wetlands (gwava-s_wetl)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for water input (gwava-s_wtin)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for confined manure (gwava-dw_conf)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for farmfertilizer (gwava-dw_ffer)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for glacial till (gwava-dw_gtil)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for Hortonian overland flow (gwava-dw_hor)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for drainageditch (gwava-dw_ddit)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for Dunne overland flow (gwava-dw_dun)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for orchards/vineyards (gwava-dw_orvi)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Model output data set (gwava-dw_out)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for population density (gwava-dw_popd)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for semiconsolidated sand aquifers (gwava-dw_semc)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for sandstone and carbonate rocks (gwava-dw_sscb)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for fresh surface water withdrawal (gwava-dw_swus)
    • Metadata Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for irrigation tailwater recovery (gwava-dw_twre)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for confined manure (gwava-s_conf)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for carbonate rocks (gwava-s_crox)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for cropland/pasture/fallow (gwava-s_crpa)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for drainage ditch (gwava-s_ddit)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for farm fertilizer (gwava-s_ffer)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for orchards/vineyards (gwava-s_orvi)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for glacial till (gwava-s_gtil)
    • Metadata Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for histosols (gwava-s_hist)
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Abstract

Two nonlinear models were developed at the national scale to (1) predict contamination of shallow ground water (typically < 5 m deep) by nitrate from nonpoint sources and (2) to predict ambient nitrate concentration in deeper supplies used for drinking. The new models have several advantages over previous national-scale approaches. First, they predict nitrate concentration (rather than probability of occurrence), which can be directly compared with water-quality criteria. Second, the models share a mechanistic structure that segregates nitrogen (N) sources and physical factors that enhance or restrict nitrate transport and accumulation in ground water. Finally, data were spatially averaged to minimize small-scale variability so that the large-scale influences of N loading, climate, and aquifer characteristics could more readily be identified. Results indicate that areas with high N application, high water input, well-drained soils, fractured rocks or those with high effective porosity, and lack of attenuation processes have the highest predicted nitrate concentration. The shallow groundwater model (mean square error or MSE = 2.96) yielded a coefficient of determination (R2) of 0.801, indicating that much of the variation in nitrate concentration is explained by the model. Moderate to severe nitrate contamination is predicted to occur in the High Plains, northern Midwest, and selected other areas. The drinking-water model performed comparably (MSE = 2.00, R2 = 0.767) and predicts that the number of users on private wells and residing in moderately contaminated areas (>5 to ≤10 mg/L nitrate) decreases by 12% when simulation depth increases from 10 to 50 m.

Additional publication details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Vulnerability of shallow groundwater and drinking-water wells to nitrate in the United States
Series title:
Environmental Science & Technology
DOI:
10.1021/es060911u
Volume:
40
Issue:
24
Year Published:
2006
Language:
English
Publisher:
ACS Publications
Description:
7 p.; Metadata
First page:
7834
Last page:
7840
Country:
United States
Additional Online Files (Y/N):
N