Articles | Volume 22, issue 5
https://doi.org/10.5194/hess-22-2739-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-2739-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
CORRESPONDING AUTHOR
Department of Land, Air, and Water Resources, University of California, Davis, USA
Andrew M. Bell
Center for Watershed Sciences, University of California, Davis, USA
Quinn E. Barber
Department of Renewable Resources, University of Alberta, Edmonton, Canada
George Kourakos
Department of Land, Air, and Water Resources, University of California, Davis, USA
Thomas Harter
CORRESPONDING AUTHOR
Department of Land, Air, and Water Resources, University of California, Davis, USA
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Cited
17 citations as recorded by crossref.
- Identification of the Nitrogen Sources in the Eocene Aquifer Area (Palestine) M. Almasri et al. https://doi.org/10.3390/w12041121
- Application of Soil and Water Assessment Tool (SWAT) to evaluate the fates of nitrogenous fertilizer in subtropical mountainous watershed tea farms G. Lin et al. https://doi.org/10.1007/s10661-022-09858-0
- Predicting geogenic Arsenic in Drinking Water Wells in Glacial Aquifers, North‐Central USA: Accounting for Depth‐Dependent Features M. Erickson et al. https://doi.org/10.1029/2018WR023106
- Characterizing the impacts of land use on nitrate load and water yield in an agricultural watershed in Atlantic Canada K. Liang et al. https://doi.org/10.1016/j.scitotenv.2020.138793
- Effect of Groundwater Age and Recharge Source on Nitrate Concentrations in Domestic Wells in the San Joaquin Valley G. Castaldo et al. https://doi.org/10.1021/acs.est.0c03071
- A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications Y. He et al. https://doi.org/10.1016/j.apgeochem.2022.105273
- The impact of land use on water quality: Evidence from California wells J. Hadachek et al. https://doi.org/10.1016/j.jeem.2026.103284
- Environmental geotechnics: challenges and opportunities in the post-Covid-19 world C. Tang et al. https://doi.org/10.1680/jenge.20.00054
- Bayesian inference to predict past and future nitrate concentrations M. Dumont et al. https://doi.org/10.1016/j.jconhyd.2026.104902
- Groundwater residence time estimates obscured by anthropogenic carbonate A. Seltzer et al. https://doi.org/10.1126/sciadv.abf3503
- Watershed-Scale Shallow Groundwater Anthropogenic Nitrate Source, Loading, and Contamination Assessment in a Typical Wheat Production Region: Case Study in Yiluo River Watershed, Middle of China X. Wang et al. https://doi.org/10.3390/w14233979
- Factors affecting the spatial pattern of nitrate contamination in Texas aquifers A. Lotfata & S. Ambinakudige https://doi.org/10.1108/MEQ-05-2019-0097
- Modeling water and nitrogen dynamics from processing tomatoes under different management scenarios in the San Joaquin Valley of California I. Raij-Hoffman et al. https://doi.org/10.1016/j.ejrh.2022.101195
- Modular framework for a real-time decision support system for economic optimization of site-specific fertilization H. Etezadi et al. https://doi.org/10.1016/j.atech.2026.102126
- Landslide susceptibility mapping using Naïve Bayes and Bayesian network models in Umyeonsan, Korea S. Lee et al. https://doi.org/10.1080/10106049.2019.1585482
- A Spatially Distributed, Physically-Based Modeling Approach for Estimating Agricultural Nitrate Leaching to Groundwater G. De Filippis et al. https://doi.org/10.3390/hydrology8010008
- Life Cycle Assessment of Integrated Nutrient, Energy, and Water Recovery on Large-Scale Dairy Farms C. Glover et al. https://doi.org/10.1089/ees.2021.0376
17 citations as recorded by crossref.
- Identification of the Nitrogen Sources in the Eocene Aquifer Area (Palestine) M. Almasri et al. https://doi.org/10.3390/w12041121
- Application of Soil and Water Assessment Tool (SWAT) to evaluate the fates of nitrogenous fertilizer in subtropical mountainous watershed tea farms G. Lin et al. https://doi.org/10.1007/s10661-022-09858-0
- Predicting geogenic Arsenic in Drinking Water Wells in Glacial Aquifers, North‐Central USA: Accounting for Depth‐Dependent Features M. Erickson et al. https://doi.org/10.1029/2018WR023106
- Characterizing the impacts of land use on nitrate load and water yield in an agricultural watershed in Atlantic Canada K. Liang et al. https://doi.org/10.1016/j.scitotenv.2020.138793
- Effect of Groundwater Age and Recharge Source on Nitrate Concentrations in Domestic Wells in the San Joaquin Valley G. Castaldo et al. https://doi.org/10.1021/acs.est.0c03071
- A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications Y. He et al. https://doi.org/10.1016/j.apgeochem.2022.105273
- The impact of land use on water quality: Evidence from California wells J. Hadachek et al. https://doi.org/10.1016/j.jeem.2026.103284
- Environmental geotechnics: challenges and opportunities in the post-Covid-19 world C. Tang et al. https://doi.org/10.1680/jenge.20.00054
- Bayesian inference to predict past and future nitrate concentrations M. Dumont et al. https://doi.org/10.1016/j.jconhyd.2026.104902
- Groundwater residence time estimates obscured by anthropogenic carbonate A. Seltzer et al. https://doi.org/10.1126/sciadv.abf3503
- Watershed-Scale Shallow Groundwater Anthropogenic Nitrate Source, Loading, and Contamination Assessment in a Typical Wheat Production Region: Case Study in Yiluo River Watershed, Middle of China X. Wang et al. https://doi.org/10.3390/w14233979
- Factors affecting the spatial pattern of nitrate contamination in Texas aquifers A. Lotfata & S. Ambinakudige https://doi.org/10.1108/MEQ-05-2019-0097
- Modeling water and nitrogen dynamics from processing tomatoes under different management scenarios in the San Joaquin Valley of California I. Raij-Hoffman et al. https://doi.org/10.1016/j.ejrh.2022.101195
- Modular framework for a real-time decision support system for economic optimization of site-specific fertilization H. Etezadi et al. https://doi.org/10.1016/j.atech.2026.102126
- Landslide susceptibility mapping using Naïve Bayes and Bayesian network models in Umyeonsan, Korea S. Lee et al. https://doi.org/10.1080/10106049.2019.1585482
- A Spatially Distributed, Physically-Based Modeling Approach for Estimating Agricultural Nitrate Leaching to Groundwater G. De Filippis et al. https://doi.org/10.3390/hydrology8010008
- Life Cycle Assessment of Integrated Nutrient, Energy, and Water Recovery on Large-Scale Dairy Farms C. Glover et al. https://doi.org/10.1089/ees.2021.0376
Saved (final revised paper)
Latest update: 28 May 2026
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.
We estimated a probability distribution of nitrogen loading rates for crop and land-use groups...