Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2789-2021
https://doi.org/10.5194/hess-25-2789-2021
Research article
 | 
26 May 2021
Research article |  | 26 May 2021

Assessing interannual variability in nitrogen sourcing and retention through hybrid Bayesian watershed modeling

Jonathan W. Miller, Kimia Karimi, Arumugam Sankarasubramanian, and Daniel R. Obenour

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Short summary
Within a watershed, nutrient export can vary greatly over time and space. In this study, we develop a model to leverage over 30 years of streamflow, precipitation, and nutrient sampling data to characterize nitrogen export from various livestock and land use types across a range of precipitation conditions. Modeling results reveal that urban lands developed before 1980 have remarkably high levels of nitrogen export, while agricultural export is most responsive to precipitation.