Hi, I'm an error. x

Spatially distributed, high-resolution nitrous oxide and residence time data for dune-like bedforms


Authors:
Owners:
Resource type: Generic
Storage: The size of this resource is 18.8 MB
Created: Mar 26, 2018 at 5:25 p.m.
Last updated: Jul 16, 2018 at 4:06 p.m.
DOI: 10.4211/hs.8ed47eb4baee45eeaaa60f85b75b5042
Citation: See how to cite this resource
Sharing Status: Published
Views: 302
Downloads: 29
+1 Votes: Be the first one to  +1 this.  (You need to be logged in to rate this.)
Comments: No comments (yet)

Abstract

Nitrous oxide (N2O) is a potent greenhouse gas that, over the past several decades , has been increasing its forcing potential for atmospheric warming. An estimated 10% of all anthropogenically generated N2O is emitted from streams and rivers. These emissions are strongly correlated to ammonium and nitrate runoff from agricultural and industrial processes. However, not all impacted steams emit N2O. Reeder et al. (2018) showed that the flow of surface water and its interaction with stream bed morphology exerts control over the biological processes that are the primary source of (N2O) emissions from rivers and streams. A mathematical model that predicts which flowlines have the correct properties to produce and emit N2O is presented. The data provided in this contribution includes: (1) spatially distributed nitrous oxide measurements from a large-scale, long-term flume experiment, (2) KDO data used in the Tau_tilde transform, (3) data to calculate N2O fluxes through the hyporheic, (4) calculated residence times through the hyporheic and (5) compiled data for the averaged N2O/Tau profiles.

Reference:
Reeder, W. J., Quick, A. M., Farrell, T. B., Benner, S. G., Feris, K. P., Marzadri, A., & Tonina, D. (2018). Hyporheic source and sink of nitrous oxide. Water Resources Research, 54. https://doi.org/10.1029/2018WR022564

Subject Keywords

  • No subject keywords have been added.
  • ${ k }

Duplicate. Keyword not added.

Error: ${ error }
Deleting all keywords will set the resource sharing status to private.

Content

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Scienc Foundation 1141690, #1141752, and # IIA-1301792

How to Cite

Reeder, W. J., A. M. Quick, T. B. Farrell, S. G. Benner, K. P. Feris, A. Marzadri, D. Tonina (2018). Spatially distributed, high-resolution nitrous oxide and residence time data for dune-like bedforms, HydroShare, https://doi.org/10.4211/hs.8ed47eb4baee45eeaaa60f85b75b5042

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required