Articles | Volume 20, issue 1
https://doi.org/10.5194/hess-20-487-2016
https://doi.org/10.5194/hess-20-487-2016
Research article
 | 
29 Jan 2016
Research article |  | 29 Jan 2016

Sensitivity of water stress in a two-layered sandy grassland soil to variations in groundwater depth and soil hydraulic parameters

M. Rezaei, P. Seuntjens, I. Joris, W. Boënne, S. Van Hoey, P. Campling, and W. M. Cornelis

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Cited articles

Abbasi, F., Jacques, D., Simunek, J., Feyen, J., and van Genuchten, M. T.: Inverse estimation of soil hydraulic and solute transport parameters from transient field experiments: Heterogeneous soil, T. ASAE, 46, 1097–1111, 2003.
Abbasi, F., Feyen, J., and van Genuchten, M. T.: Two-dimensional simulation of water flow and solute transport below furrows: model calibration and validation, J. Hydrol., 290, 63–79, https://doi.org/10.1016/j.jhydrol2.003.11.028, 2004.
Akhtar, F., Tischbein, B., and Awan, U. K.: Optimizing deficit irrigation scheduling under shallow groundwater conditions in lower reaches of Amu Darya river basin, Water Resour. Manag., 27, 3165–3178, https://doi.org/10.1007/s11269-013-0341-0, 2013.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration, FAO Irrig. Drain. Pap. 56, Rome, Italy, 174 pp., 1998.
American Society of Civil Engineers (ASCE): Criteria for Evaluation of Watershed Models, Journal of Irrigation and Drainage Engineering, 119, 429–442, https://doi.org/10.1061/(ASCE)0733-9437(1993)119:3(429), 1993.
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The sensitivity of the combined model (LINGRA-N and HYDRUS-1D) to hydraulic parameters, water stress, crop yield and lower boundary conditions was assessed. We showed that it is sufficient to estimate limited amount of key parameters in optimization strategies. A combined modelling approach could increase water use efficiency (12–22.5 %) and yield (5–7%) by changing irrigation scheduling. Result calls for taking into account weather forecast and soil water content data in precision agriculture.