Articles | Volume 22, issue 5
https://doi.org/10.5194/hess-22-2739-2018
https://doi.org/10.5194/hess-22-2739-2018
Research article
 | 
07 May 2018
Research article |  | 07 May 2018

A Bayesian approach to infer nitrogen loading rates from crop and land-use types surrounding private wells in the Central Valley, California

Katherine M. Ransom, Andrew M. Bell, Quinn E. Barber, George Kourakos, and Thomas Harter

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (15 Mar 2018) by Philippe Ackerer
AR by Katherine Ransom on behalf of the Authors (07 Apr 2018)  Author's response    Manuscript
ED: Publish as is (12 Apr 2018) by Philippe Ackerer
Download
Short summary
We estimated a probability distribution of nitrogen loading rates for crop and land-use groups from regional groundwater data. Water & natural land use had the lowest estimated rates, while dairy land use had the highest. Most results compare favorably to previous estimates, though mass balance estimates for several crop groups were higher than our model estimates. The information can provide a better assessment of land-use impacts to water quality absent information on farm nutrient management.