Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 5
Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2789-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-25-2789-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 5
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

Viewed

Total article views: 2,061 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,326 699 36 2,061 248 23 24
  • HTML: 1,326
  • PDF: 699
  • XML: 36
  • Total: 2,061
  • Supplement: 248
  • BibTeX: 23
  • EndNote: 24
Views and downloads (calculated since 09 Feb 2021)
Cumulative views and downloads (calculated since 09 Feb 2021)

Viewed (geographical distribution)

Total article views: 2,061 (including HTML, PDF, and XML) Thereof 1,884 with geography defined and 177 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Apr 2024
Download
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.
Read more
Special issue
Frontiers in the application of Bayesian approaches in water...