H11F-1422
Regional oxygen reduction and denitrification rates, San Joaquin Valley, USA

Monday, 14 December 2015
Poster Hall (Moscone South)
Christopher T Green1, Bryant C. Jurgens2, Yong Zhang3, Jon Jeffrey Starn4, Ate Visser5, Michael J Singleton5 and Bradley K Esser5, (1)USGS, Menlo Park, CA, United States, (2)USGS California Water Science Center Sacramento, Sacramento, CA, United States, (3)University of Alabama, Tuscaloosa, AL, United States, (4)USGS Connecticut Water Science Center, East Hartford, CT, United States, (5)Lawrence Livermore National Laboratory, Livermore, CA, United States
Abstract:
Rates of oxygen and nitrate reduction are key factors in determining the chemical evolution of groundwater. Little is known about how these rates vary in regional groundwater settings, as few studies have focused on regional datasets with multiple tracers and methods of analysis that account for effects of mixed residence times on apparent reaction rates. This study provides insight into residence times and rates of O2 reduction and denitrification using a novel approach of multi-model residence time distributions (RTDs) applied to a data set of atmospheric tracers of groundwater age and geochemical data from 141 well samples in the Central Eastern San Joaquin Valley, CA. The residence time distribution approach accounts for mixtures of residence times in a single sample to provide estimates of in-situ rates. Tracers included SF6, CFCs, 3H, He from 3H, 14C, and terrigenic He. Parameter estimation and multi-model averaging were used to establish RTDs with lower error variance than produced by individual RTD models. The set of multi-model RTDs was used in combination with NO3− and dissolved gas data to estimate zero order and first order rates of O2 reduction and denitrification. Results indicated that these rates followed approximately log-normal distributions. Rates of O2 reduction and denitrification were correlated and, on an electron milliequivalent basis, denitrification rates tended to exceed O2 reduction rates. Results indicate that the multi-model approach can improve estimation of age distributions, and that, because of the correlations, relatively easily measured O2 rates can provide information about trends in denitrification rates, which are more difficult to measure.