Dk. Mueller et al., LOGISTIC MODEL OF NITRATE IN STREAMS OF THE UPPER-MIDWESTERN UNITED-STATES, Journal of environmental quality, 26(5), 1997, pp. 1223-1230
Nitrate in surface water can have adverse effects on aquatic Life and,
in drinking-water supplies, can be a risk to human health. As part of
a regional study, nitrate as N (NO3-N) vies analyzed in water samples
collected from streams throughout 10 iMidwestern states during synopt
ic surveys in 1989, 1990, and 1994. Data from the period immediately f
ollowing crop planting at 124 sites were analyzed using logistic regre
ssion to relate discrete categories of NO3-N concentrations to charact
eristics of the basins upstream from the sites. The NO3-N data were di
vided into three categories representing probable background concentra
tions (<3 mg L-1), elevated concentrations (3-10 mg L-1), and concentr
ations that exceeded the U.S. Environmental Protection Agency maximum
contaminant level (MCL) for drinking water (>10 mg L-1). Nitrate-N con
centrations were positively correlated to streamflow, upstream area pl
anted in corn (Zea mays L.), and upstream N-fertilizer application rat
es. Elevated NO3-N concentrations were associated with poorly drained
soils and were weakly correlated with population density, Nitrate-N an
d streamflow data collected during 1989 and 1990 were used to calibrat
e the model, and data collected during 1994 were used for verification
, The model correctly estimated NO3-N concentration categories for 79%
of the samples in the calibration data set and 60% of the samples in
the verification data set. The model was used to indicate where NO3-N
concentrations might be elevated or exceed the NO3-N MCL in streams th
roughout the study area, The potential for elevated NO3-N concentratio
ns was predicted to be greatest for streams in Illinois, Indiana, Iowa
, and western Ohio.