Articles | Volume 21, issue 7
Hydrol. Earth Syst. Sci., 21, 3811–3825, 2017
https://doi.org/10.5194/hess-21-3811-2017
Hydrol. Earth Syst. Sci., 21, 3811–3825, 2017
https://doi.org/10.5194/hess-21-3811-2017

Research article 26 Jul 2017

Research article | 26 Jul 2017

Modeling nitrate from land surface to wells' perforations under agricultural land: success, failure, and future scenarios in a Mediterranean case study

Yehuda Levy et al.

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Cited articles

Alikhani, J., Deinhart, A. L., Visser, A., Bibby, R. K., Purtschert, R., Moran, J. E., Massoudieh, A., and Esser, B. K.: Nitrate vulnerability projections from Bayesian inference of multiple groundwater age tracers, J. Hydrol., 543, 167–181, 2016.
Allen, R. G., Pereira, L. A., Raes, D., and Smith, M.: Crop evapotranspiration, FAO irrigation and drainage paper 56, 15 pp., 1998.
Allison, G. B. and Hughes, M. W.: The use of natural tracers as indicators of soil-water movement in a temperate semi-arid region, J. Hydrol., 60, 157–173, https://doi.org/10.1016/0022-1694(83)90019-7, 1983.
Almasri, M. N. and Kaluarachchi, J.: Modeling nitrate contamination of groundwater in agricultural watersheds, J. Hydrol., 343, 211–229, 2007.
AQUAVEO: The Department of Defense Groundwater Modeling System, GMS v8.2 Aquaveo, South Jordan, UT, 2012.
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Short summary
Nitrate–nitrogen is a groundwater contaminant worldwide that originates commonly from agricultural fertilization. In this work, we built a computer model which follows the fate of nitrogen from land surface to deep (~100 m) and distant (~km) groundwater wells. The model succeeded estimating total groundwater nitrate, yet failed to point-estimate contaminated wells, extra assumptions fixed it. This enabled prediction of future groundwater–nitrate which revealed the need to reduce fertilization.