A Spatial and Statistical Assessment of the Vulnerability of Texas
Groundwater to Nitrate Contamination
By Thomas A. Evans and David R. Maidment
ABSTRACT
Nitrate concentrations in approximately 46,000 water samples from
Texas wells are analyzed using spatial and statistical representations
on a grid of 7.5' quadrangles. In each quadrangle containing at
least 12 measurements, the probabilities of exceeding four threshold
concentrations probabilities of exceeding four concentration thresholds
of nitrate (0.1, 1.0, 5.0, and 10.0 mg/l nitrate as nitrogen) are
estimated as the ratio of observed exceedences to the total number
of measurements. An alternative probability analysis using the lognormal
distribution yields exceedence probabilities that show some systematic
difference from those computed directly from the data.
Five representative aquifers were chosen for additional analysis.
Nitrate exceedence probabilities are relatively uniform within aquifers,
but differ significantly from one aquifer to another. The exceedence
probability for the 1 mg/l threshold was selected as best representing
vulnerability to nitrate contamination. The five aquifers, ranked
from lowest to highest vulnerability by this criterion are: Carrizo-Wilcox,
Edwards (Balcones Fault Zone), Hueco-Mesilla Bolson, Ogallala, and
Seymour. Evidence suggests that nitrate levels are increasing across
the state, and in the Ogallala in particular, but such trends are
not consistent across aquifers.
Linear regression was used to assess the relationship between nitrate
exceedence probabilities potential indicator parameters. The dominant
parameter is the aquifer from which the sample is drawn. Setting
this aside, the only consistently significant indicator is average
annual rainfall: groundwater is more likely to be contaminated in
regions where rainfall is low than in regions where rainfall is
high. No significant relation between the spatial patterns of nitrate
contamination and the sale of nitrogen fertilizers was found.
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reserved. Copyright 1997 Center for Research in Water Resources.
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