title: Estimating background and threshold nitrate concentrations using probability graphs.
abstract: Because of the ubiquitous nature of anthropogenic nitrate (NO3(-)) in many parts of the world, determining background concentrations of NO3(-) in shallow ground water from natural sources is probably impossible in most environments. Present-day background must now include diffuse sources of NO3(-) such as disruption of soils and oxidation of organic matter, and atmospheric inputs from products of combustion and evaporation of ammonia from fertilizer and livestock waste. Anomalies can be defined as NO3(-) derived from nitrogen (N) inputs to the environment from anthropogenic activities, including synthetic fertilizers, livestock waste, and septic effluent. Cumulative probability graphs were used to identify threshold concentrations separating background and anomalous NO(3)-N concentrations and to assist in the determination of sources of N contamination for 232 spring water samples and 200 well water samples from karst aquifers. Thresholds were 0.4, 2.5, and 6.7 mg/L for spring water samples, and 0.1, 2.1, and 17 mg/L for well water samples. The 0.4 and 0.1 mg/L values are assumed to represent thresholds for present-day precipitation. Thresholds at 2.5 and 2.1 mg/L are interpreted to represent present-day background concentrations of NO(3)-N. The population of spring water samples with concentrations between 2.5 and 6.7 mg/L represents an amalgam of all sources of NO3(-) in the ground water basins that feed each spring; concentrations > 6.7 mg/L were typically samples collected soon after springtime application of synthetic fertilizer. The 17 mg/L threshold (adjusted to 15 mg/L) for well water samples is interpreted as the level above which livestock wastes dominate the N sources.
authors.affiliation: Illinois State Geological Survey, 615 East Peabody Drive, Champaign, IL 61820, USA. panno@isgs.uiuc.edu
authors.forename: S V
authors.initials: SV
authors.lastname: Panno
authors.forename: W R
authors.initials: WR
authors.lastname: Kelly
authors.forename: A T
authors.initials: AT
authors.lastname: Martinsek
authors.forename: K C
authors.initials: KC
authors.lastname: Hackley
mesh_terms: D000704:Analysis of Variance; D003625:Data Collection / Q000379:methods; D004784:Environmental Monitoring / Q000379:methods*; D005618:Fresh Water / Q000737:chemistry*; D007087:Illinois; D008962:Models, Theoretical; D009566:Nitrates / Q000032:analysis*; D011336:Probability; D014874:Water Pollutants, Chemical / Q000032:analysis*; D014881:Water Supply
chemical_list: D009566:Nitrates; D014874:Water Pollutants, Chemical