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

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Abstract
Monitoring and modelling tools may improve irrigation strategies in precision agriculture. We used non-invasive soil moisture monitoring, a crop growth and a soil hydrological model to predict soil water content fluctuations and crop yield in a heterogeneous sandy grassland soil under supplementary irrigation. The sensitivity of the soil hydrological model to hydraulic parameters, water stress, crop yield and lower boundary conditions was assessed after integrating models. Free drainage and incremental constant head conditions were implemented in a lower boundary sensitivity analysis. A time-dependent sensitivity analysis of the hydraulic parameters showed that changes in soil water content are mainly affected by the soil saturated hydraulic conductivity K-s and the Mualem-van Genuchten retention curve shape parameters n and alpha. Results further showed that different parameter optimization strategies (two-, three-, four- or six-parameter optimizations) did not affect the calculated water stress and water content as significantly as does the bottom boundary. In this case, a two-parameter scenario, where K-s was optimized for each layer under the condition of a constant groundwater depth at 135-140 cm, performed best. A larger yield reduction, and a larger number and longer duration of stress conditions occurred in the free drainage condition as compared to constant boundary conditions. Numerical results showed that optimal irrigation scheduling using the aforementioned water stress calculations can save up to 12-22 % irrigation water as compared to the current irrigation regime. This resulted in a yield increase of 4.5-6.5 %, simulated by the crop growth model.
Keywords
crop model, soil hydrological model, sensitivity analysis, groundwater level, soil water stress, irrigation management, crop yield, saturated hydraulic conductivity, UNSATURATED SOILS, SOLUTE TRANSPORT, POROUS-MEDIA, ROOT-ZONE, MODEL, IRRIGATION, FLOW, CONDUCTIVITY, SIMULATION, OPTIMIZATION

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Chicago
Rezaei, Meisam, Piet Seuntjens, Ingeborg Joris, Wesley Boënne, Stijn Van Hoey, Pual Campling, and Wim Cornelis. 2016. “Sensitivity of Water Stress in a Two-layered Sandy Grassland Soil to Variations in Groundwater Depth and Soil Hydraulic Parameters.” Hydrology and Earth System Sciences 20 (1): 487–503.
APA
Rezaei, M., Seuntjens, P., Joris, I., Boënne, W., Van Hoey, S., Campling, P., & Cornelis, W. (2016). Sensitivity of water stress in a two-layered sandy grassland soil to variations in groundwater depth and soil hydraulic parameters. HYDROLOGY AND EARTH SYSTEM SCIENCES, 20(1), 487–503.
Vancouver
1.
Rezaei M, Seuntjens P, Joris I, Boënne W, Van Hoey S, Campling P, et al. Sensitivity of water stress in a two-layered sandy grassland soil to variations in groundwater depth and soil hydraulic parameters. HYDROLOGY AND EARTH SYSTEM SCIENCES. 2016;20(1):487–503.
MLA
Rezaei, Meisam, Piet Seuntjens, Ingeborg Joris, et al. “Sensitivity of Water Stress in a Two-layered Sandy Grassland Soil to Variations in Groundwater Depth and Soil Hydraulic Parameters.” HYDROLOGY AND EARTH SYSTEM SCIENCES 20.1 (2016): 487–503. Print.
@article{7062744,
  abstract     = {Monitoring and modelling tools may improve irrigation strategies in precision agriculture. We used non-invasive soil moisture monitoring, a crop growth and a soil hydrological model to predict soil water content fluctuations and crop yield in a heterogeneous sandy grassland soil under supplementary irrigation. The sensitivity of the soil hydrological model to hydraulic parameters, water stress, crop yield and lower boundary conditions was assessed after integrating models. Free drainage and incremental constant head conditions were implemented in a lower boundary sensitivity analysis. A time-dependent sensitivity analysis of the hydraulic parameters showed that changes in soil water content are mainly affected by the soil saturated hydraulic conductivity K-s and the Mualem-van Genuchten retention curve shape parameters n and alpha. Results further showed that different parameter optimization strategies (two-, three-, four- or six-parameter optimizations) did not affect the calculated water stress and water content as significantly as does the bottom boundary. In this case, a two-parameter scenario, where K-s was optimized for each layer under the condition of a constant groundwater depth at 135-140 cm, performed best. A larger yield reduction, and a larger number and longer duration of stress conditions occurred in the free drainage condition as compared to constant boundary conditions. Numerical results showed that optimal irrigation scheduling using the aforementioned water stress calculations can save up to 12-22 \% irrigation water as compared to the current irrigation regime. This resulted in a yield increase of 4.5-6.5 \%, simulated by the crop growth model.},
  author       = {Rezaei, Meisam and Seuntjens, Piet and Joris, Ingeborg and Bo{\"e}nne, Wesley and Van Hoey, Stijn and Campling, Pual and Cornelis, Wim},
  issn         = {1027-5606},
  journal      = {HYDROLOGY AND EARTH SYSTEM SCIENCES},
  keyword      = {crop model,soil hydrological model,sensitivity analysis,groundwater level,soil water stress,irrigation management,crop yield,saturated hydraulic conductivity,UNSATURATED SOILS,SOLUTE TRANSPORT,POROUS-MEDIA,ROOT-ZONE,MODEL,IRRIGATION,FLOW,CONDUCTIVITY,SIMULATION,OPTIMIZATION},
  language     = {eng},
  number       = {1},
  pages        = {487--503},
  title        = {Sensitivity of water stress in a two-layered sandy grassland soil to variations in groundwater depth and soil hydraulic parameters},
  url          = {http://dx.doi.org/10.5194/hess-20-487-2016},
  volume       = {20},
  year         = {2016},
}

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