Combined use of 15N and 18O of nitrate and 11B to evaluate nitrate contamination in groundwater

Isotopic composition of NO₃ (δ¹⁵N_NO3 and δ¹⁸O_NO3) and B (δ¹¹B) were used to evaluate NO₃ contamination and identify geochemical processes occurring in a hydrologically complex Basin and Range valley in northern Nevada with multiple potential sources of NO₃. Combined use of these isotopes may be a useful tool in identifying NO₃ sources because NO₃ and B co-migrate in many environmental settings, their isotopes are fractionated by different environmental processes, and because wastewater and fertilizers may have distinct isotopic signatures for N and B. The principal cause of elevated NO₃ concentrations in residential parts of the study area is wastewater and not natural NO₃ or fertilizers. This is indicated by some samples with elevated NO₃ concentrations plotting along δ¹⁵N_NO3 and NO₃ mixing lines between natural NO₃ from the study area and theoretical septic-system effluent. This conclusion is supported by the presence of caffeine in one sample and the absence of samples with elevated NO₃ concentrations that fall along mixing lines between natural NO₃ and theoretical percolate below fertilized lawns. Nitrogen isotopes alone could not be used to determine NO₃ sources in several wells because denitrification blurred the original isotopic signatures. The range of δ¹¹B values in native ground water in the study area (?8.2‰ to +21.2‰) is large. The samples with the low δ¹¹B values have a geochemical signature characteristic of hydrothermal systems. Physical and chemical data suggest B is not being strongly fractionated by adsorption onto clays. δ¹¹B values from local STP effluent (?2.7‰) and wash water from a domestic washing machine (?5.7‰) were used to plot mixing lines between wastewater and native ground water. In general, wells with elevated NO₃ concentrations fell along mixing lines between wastewater and background water on plots of δ¹¹B against 1/B and Cl/B. Combined use of δ¹⁵N and δ¹¹B in the study area was generally successful in identifying contaminant sources and processes that are occurring, however, it is likely to be more successful in simpler settings with a well-characterized δ¹¹B value for background wells.