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

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A Bayesian Approach to Infer Nitrogen Loading Rates from Crop and Landuse Types Surrounding Private Wells in the Central Valley, California
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Manuscript not accepted for further review
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Cited articles

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Boyle, D., King, A., Kourakos, G., Lockhart, K., Mayzelle, M., Fogg, G., and Harter, T.: Groundwater nitrate occurrence. Technical Report 4 in: addressing nitrate in California's drinking water with a focus on Tulare Lake Basin and Salinas Valley groundwater, Report for the State Water Resources Control Board report to the Legislature, Tech. rep., Center for Watershed Sciences, University of California, Davis, 2012. a, b, c, d, e, f, g, h, i, j, k
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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.