Statistical analysis to characterize transport of nutrients in groundwater near an abandoned feedlot
Surface water from a lagoon and groundwater samples from 17 wells within and near an abandoned feedlot in northwestern Minnesota, USA, were analyzed for carbon, nutrients, and field parameters. The feedlot is surrounded by wetlands that act as receptors of nutrients from the feedlot. Q- and R-mode m...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2013-12-01
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Series: | Hydrology and Earth System Sciences |
Online Access: | http://www.hydrol-earth-syst-sci.net/17/4897/2013/hess-17-4897-2013.pdf |
Summary: | Surface water from a lagoon and groundwater samples from 17 wells
within and near an abandoned feedlot in northwestern Minnesota, USA, were
analyzed for carbon, nutrients, and field parameters. The feedlot is
surrounded by wetlands that act as receptors of nutrients from the feedlot.
Q- and R-mode multivariate analyses performed on total carbon (TC),
inorganic carbon (IC), total organic carbon (TOC), nitrite-nitrogen
(NO<sub>2</sub>-N), nitrate-nitrogen (NO<sub>3</sub>-N), ammonium-nitrogen (NH<sub>4</sub>-N),
soluble or dissolved reactive phosphorus (DRP), and total phosphorus (TP)
indicated three groups of the chemical species, which reflected variability
in groundwater chemistry. Factor analysis indicated approximately 82% of
the variability in factor 1 was caused by TC, IC, TOC, and DRP, while in
factor 2 approximately 79% of the variability was caused by NO<sub>2</sub>-N,
NO<sub>3</sub>-N, and TP. In factor 3, only NH<sub>4</sub>-N contributed 31% of the
variability. Groundwater isotope and spatial distribution analysis indicated
reduced nitrate concentration from the source to the wetlands, with
variation in NO<sub>2</sub>-N, NO<sub>3</sub>-N, and NH<sub>4</sub>-N concentrations
attributed to the plant nutrient uptake, high rate of denitrification and/or
the dissimilatory nitrate reduction to ammonium. This study indicated the
value of multivariate analyses in characterizing variability in groundwater
quality. |
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ISSN: | 1027-5606 1607-7938 |