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Assessing the hydraulic reduction performance of HYDRUS-1D for application of alkaline irrigation in variably-saturated soils: Validation of pH driven hydraulic reduction scaling factors

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  • Ali, Aram
  • Bennett, John McL
  • Biggs, Andrew A.J.
  • Marchuk, Alla
  • Ghahramani, Afshin

Abstract

Land application of alkaline irrigation water is an increasing practice in most agricultural lands around the world due to the shortage of freshwater resources. Accurate evaluation of the effects of alkalinity on soil properties is essential to avoid environmental risks. In this study, we used long leaching columns to evaluate alkalinisation and sodification hazards in soils in the laboratory at different water qualities (0, 100, 310 and 650 HCO3-, mg L−1) with electrical conductivity (EC) ≈ 2.1 dS m−1 and sodium adsorption ratio (SAR) ≈ 12 (mmolc L−1)0.5. The ability of the HYDRUS-1D model to simulate solute and water movement under unsaturated conditions in columns of 40 cm height filled with acidic, neutral or alkaline soils was also assessed. Changes in soil EC, SAR, pH and alkalinity were monitored at 5, 15, 25 and 35 cm depths for 290 days. Increased solution alkalinity resulted in increased pH, alkalinity and sodicity within the soil profile, in particular for the soil surface and acidic soils. In general, the HYDRUS model, using the standard hydraulic reduction scaling factor, was able to simulate the effects of alkalinity in the soil profile and the associated hydraulic conductivity reduction. Amending the pH driven hydraulic reduction scaling factor in the model to a non-linear, soil-specific, pedotransfer function significantly improved the correlation between predicted and observed hydraulic conductivity. The findings of this study provide validation for a non-linear approach towards determining the pH hydraulic reduction scaling factor in the HYDRUS-1D model for unsaturated conditions. However, it is noted that further improvement of this non-linear approach is required to incorporate other factors governing soil structural stability.

Suggested Citation

  • Ali, Aram & Bennett, John McL & Biggs, Andrew A.J. & Marchuk, Alla & Ghahramani, Afshin, 2021. "Assessing the hydraulic reduction performance of HYDRUS-1D for application of alkaline irrigation in variably-saturated soils: Validation of pH driven hydraulic reduction scaling factors," Agricultural Water Management, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:agiwat:v:256:y:2021:i:c:s0378377421003668
    DOI: 10.1016/j.agwat.2021.107101
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    References listed on IDEAS

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    1. Li, Yong & Šimůnek, Jirka & Zhang, Zhentin & Jing, Longfei & Ni, Lixiao, 2015. "Evaluation of nitrogen balance in a direct-seeded-rice field experiment using Hydrus-1D," Agricultural Water Management, Elsevier, vol. 148(C), pages 213-222.
    2. Dang, A. & Bennett, J. McL. & Marchuk, A. & Biggs, A. & Raine, S.R., 2018. "Quantifying the aggregation-dispersion boundary condition in terms of saturated hydraulic conductivity reduction and the threshold electrolyte concentration," Agricultural Water Management, Elsevier, vol. 203(C), pages 172-178.
    3. Minhas, P. S. & Gupta, R. K., 1993. "Conjunctive use of saline and non-saline waters. I. Response of wheat to initial salinity profiles and salinisation patterns," Agricultural Water Management, Elsevier, vol. 23(2), pages 125-137, April.
    4. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
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    1. Yu, Haijiao & Wen, Xiaohu & Wu, Min & Sheng, Danrui & Wu, Jun & Zhao, Ying, 2022. "Data-based groundwater quality estimation and uncertainty analysis for irrigation agriculture," Agricultural Water Management, Elsevier, vol. 262(C).

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