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Water Conservation Science and Engineering

, Volume 4, Issue 2–3, pp 123–131 | Cite as

Evaluation of Soil Nitrate Accumulation under Different Fertigation Regimes and Simulation by the Hydrus-1D Model

  • Omid BahmaniEmail author
  • Ali Akbar Sabziparvar
  • Hossein Javadi
  • Vahid Atlassi Pak
  • Saeed Boroomand Nasab
Original Paper
  • 31 Downloads

Abstract

Nitrate loss is a major reason for non-point source contamination on agricultural lands. The objective of this study was to assess the Hydrus-1D model for simulation of soil nitrate in different irrigation regimes, including 100 (I1), 85 (I2), and 70 (I3) % of the water requirement for sugarcane and different urea fertilization rates with 150 (N1), 250 (N2), and 350 (N3) kg/ha. Van Genuchten (VG) parameters were estimated by the RETC [Retention Curve Program for Unsaturated Soils] program. According to the results, by reducing the amount of irrigation water, the soil nitrate accumulation from the soil surface to the deep soil increased by 17 and 35% under I2 and I3 treatments compared with I1. Results showed that the Hydrus-1D model had fair potential for predicting the NO3-N accumulation in the soil profile over the sampling period (AE: −1.25 to 0.99, RMSE: 0.96 to 2.50, d: 0.78 to 0.98). The coefficient of determination between the field measured and simulated values in the soil layers at depths of 30, 60, 90 and 120 cm were 0.87, 0.88, 0.74, and 0.52, respectively. To reduce nitrogen losses, fertilizer application rates must be considered based on sugarcane needs and soil hydraulic properties.

Keywords

Nitrate Deficit irrigation Soil pollution Hydrus-1D 

Notes

Acknowledgements

We are grateful to the Institute for Research and Training on Development and sugarcane industries in Khuzestan, Iran, for performing laboratory analyses of nitrate content in soil samples.

References

  1. 1.
    Abbasi F, Feyen J, Van Genuchten MT (2004) Two dimensional simulations of water flow and solute transport below furrows: model calibration and validation. J Hydrol 290(1–2):63–79CrossRefGoogle Scholar
  2. 2.
    Ajdary K, Singh DK, Singh AK, Khanna M (2007) Modelling of nitrogen leaching from experimental onion field under drip fertigation. Agric Water Manag 89(1–2):15–28CrossRefGoogle Scholar
  3. 3.
    Bahmani O, Boroomand Nasab S, Behzad M, Naseri AA (2009) Assessment of nitrogen accumulation and movement in soil profile under different irrigation and fertilization regime. Asian J Agric Res 3(2):38–46Google Scholar
  4. 4.
    Bocher LW (1995) Tracing the flow of chemicals: how to reduce nitrate and pesticide leaching, turf science, pp 64–67Google Scholar
  5. 5.
    Donigian AS Jr (1981) Model predictions vs. field observations: the model validation/testing process. Fate of Chemicals in the Environment 225.  https://doi.org/10.1021/bk-1983-0225.ch008
  6. 6.
    FAO (2015) Crop production. Food and Agriculture Organization of the United Nations. Retrieved 2015Google Scholar
  7. 7.
    Jégo G, Martinez M, Antigüedad I, Launay M, Sanchez-Pérez JM, Justes E (2008) Evaluation of the impact of various agricultural practices on nitrate leaching under the root zone of potato and sugar beet using the STICS soil-crop model. Sci Total Environ 394(2-3):207–221CrossRefGoogle Scholar
  8. 8.
    Jia X, Shao L, Liu P, Zhao B, Gu L, Dong Sh Bing SH, Zhang J, Zhao B (2014) Effect of different nitrogen and irrigation treatments on yield and nitrate leaching of summer maize (Zea mays L.) under lysimeter conditions. Agric Water Manag 137:92–103CrossRefGoogle Scholar
  9. 9.
    Karandish F, Simunek J (2017) Two-dimensional modeling of nitrogen and water dynamics for various N-managed water-saving irrigation strategies using HYDRUS. Agric Water Manag 193:174–190CrossRefGoogle Scholar
  10. 10.
    Li J, Zhao R, Li Y, Chen L (2018) Modeling the effects of parameter optimization on three bioretention tanks using the HYDRUS-1D model. J Environ Manag 217:38–46CrossRefGoogle Scholar
  11. 11.
    Li Y, Simunek J, Jing LF, Zhang ZT, Ni LX (2014) Evaluation of water movement and water losses in a direct-seeded-rice field experiment using Hydrus-1D. Agric Water Manag 142:38–46CrossRefGoogle Scholar
  12. 12.
    Li Y, Simunek J, Jing LF, Zhang ZT, Ni LX (2015) Evaluation of nitrogen balance in a direct-seeded-rice field experiment using Hydrus-1D. Agric Water Manag 148:213–222CrossRefGoogle Scholar
  13. 13.
    Mailhol JC, Crevoisier D, Triki K (2007) Impact of water application conditions on nitrogen leaching under furrow irrigation: experimental and modeling approaches. Agric Water Manag 87(3):275–284CrossRefGoogle Scholar
  14. 14.
    Pazoki M, Ghasemzade R, Ziaee SP (2017) Simulation of municipal landfill leachate movement in soil by HYDRUS-1D model. Advances in Environmental Technology 3:177–184.  https://doi.org/10.22104/AET.2017.2140.1106 CrossRefGoogle Scholar
  15. 15.
    Pham HQ, Fredlund DG (2008) Equations for the entire soil-water characteristic curve of a volume change soil. Can Geotech J 45:443–453CrossRefGoogle Scholar
  16. 16.
    Ramos TB, Simunek J, Gonc alves MC, Martins JC, Prazeres A, Pereira LS (2012) Two-dimensional modeling of water and nitrogen fate from sweet sorghum irrigated with fresh and blended saline waters. Agric Water Manag 111:87–104CrossRefGoogle Scholar
  17. 17.
    Ren DY, Xu X, Hao YY, Huang GH (2016) Modeling and assessing field irrigation water use in a canal system of Hetao, upper Yellow River basin: application to maize, sunflower and watermelon. J Hydrol 532:122–139CrossRefGoogle Scholar
  18. 18.
    Saso JK, Parkin GW, Drury CF, Lauzon JD, Reynolds WD (2012) Chloride leaching in two Ontario soils: measurement and prediction using HYDRUS-1D. Can J Soil Sci 92(2):285–296.  https://doi.org/10.4141/cjss2011-046 CrossRefGoogle Scholar
  19. 19.
    Schaap MG, Van Genuchten MTH (2006) A modified mualem-Van Genuchten formulation for improved description of the hydraulic conductivity near saturation. Vadose Zone J 5:27–34CrossRefGoogle Scholar
  20. 20.
    Sepaskhah AR, Yousefi F (2007) The effects of zeolite application on nitrate and ammonium retention of a loamy soil under saturated conditions. Aust J Soil Res 45:68–373Google Scholar
  21. 21.
    Sexton BT, Moncrief JF, Rosen CJ, Gupta SC, Cheng HH (1996) Optimizing N and irrigation inputs for corn based on N leaching and yield on coarse-textured soil. J Environ Qual 25:982–992CrossRefGoogle Scholar
  22. 22.
    Simunek J, Sejna M, Saito H, Sakai M, Van Genuchten MTH (2008) The HYDRUS1D software package for simulating the one-dimensional movement of water, heat, and multiple solutes in variably saturated media version 4.0. Department of Environmental Sciences, University of California Riverside, California, p 315Google Scholar
  23. 23.
    Smith J, Smith P, Addiscott T (1996) Quantitative methods to evaluate and compare soil organic matter (SOM) models. In: Powlson DS et al (eds) Evaluation of soil organic matter models. NATO ASI Ser. I, vol 38. Springer-Verlag, Heidelberg, pp 181–200Google Scholar
  24. 24.
    Sutanto SJ, Wenninger J, Coenders-Gerrits AMJ, Uhlenbrook S (2012) Partitioning of evaporation into transpiration, soil evaporation and interception: a comparison between isotope measurements and a HYDRUS-1D model. Hydrol Earth Syst Sci 16(8):2605–2616CrossRefGoogle Scholar
  25. 25.
    Tafteh A, Sepaskhah AR (2012) Application of HYDRUS-1D model for simulating water and nitrate leaching from continuous and alternate furrow irrigated rapeseed and maize fields. Agric Water Manag 113:19–29CrossRefGoogle Scholar
  26. 26.
    Van Genuchten MT, Leij FJ, Yates SR (1991) The RETC code for quantifying the hydraulic functions of unsaturated soils. U.S. Salinity Laboratory, Department of Agriculture, Agricultural Research Services, RiversideGoogle Scholar
  27. 27.
    Wallis KJ, Candela L, Mateos RM, Tamoh K (2011) Simulation of nitrate leaching under potato crops in a Mediterranean area. Influence of frost prevention irrigation on nitrogen transport. Agric Water Manag 98:1629–1640CrossRefGoogle Scholar
  28. 28.
    Wang H, Ju X, Wei Y, Li B, Zhao L, Hu K (2010) Simulation of bromide and nitrate leaching under heavy rainfall and high-intensity irrigation rates in North China plain. Agric Water Manag 97(10):1646–1654CrossRefGoogle Scholar
  29. 29.
    Wang H, Gao J, Li X, Zhang S, Wang HJ (2015) Nitrate accumulation and leaching in surface and ground water based on simulated rainfall experiments. PLoS One 10(8):1–18Google Scholar
  30. 30.
    Whitmore AP, Addiscott TM (1987) A function for describing nitrogen uptake, dry matter production and rooting by wheat crops. Plant Soil 110(1):51–60CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Omid Bahmani
    • 1
    Email author
  • Ali Akbar Sabziparvar
    • 1
  • Hossein Javadi
    • 1
  • Vahid Atlassi Pak
    • 2
  • Saeed Boroomand Nasab
    • 3
  1. 1.Department of Water Engineering, Faculty of AgricultureBu-Ali Sina UniversityHamedanIran
  2. 2.Payam Noor UniversityHamedanIran
  3. 3.Department of Water Engineering, Faculty of Science & Water EngineeringShahid Chamran UniversityAhvazIran

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