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Estimation of root water uptake and soil hydraulic parameters from root zone soil moisture and deep percolation

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  • Sonkar, Ickkshaanshu
  • Kotnoor, Hari Prasad
  • Sen, Sumit

Abstract

For efficient irrigation management practices, an accurate prediction of water uptake in the root zone and soil information are foremost important. The present study deals with the identification and estimation of root water uptake (RWU) and soil hydraulic parameters using inverse modeling. These parameters were estimated by minimizing the difference between observed and model simulated soil moisture and deep percolation during the crop growth period. The linked simulation optimization model is tested for three different objective functions using hypothetically generated observed data. Results indicate that the optimizer with objective function defined by soil moisture, failed to provide unique estimate of RWU and soil hydraulic parameters. Further, it has been observed that with the objective function defined by deep percolation, soil hydraulic parameters were uniquely estimated but RWU parameter was not estimated accurately. However, with the objective function, that includes both soil moisture and deep percolation, these parameters were uniquely estimated. A Lysimeter experiments were conducted with four crops i.e. berseem (Trifolium alexandrinum), wheat (Triticum aestivum), maize (Zea mays) and pearl millet (Pennisetum glaucum). Daily monitoring of soil moisture and deep percolation along with soil and crop parameter measurements were done for model validation. Inversely estimated soil hydraulic parameters were found to be in close agreement with laboratory obtained values. The results indicate that specifically for soils with high hydraulic conductivity, the information about deep percolation along with soil moisture is necessary for inverse estimation of root and soil parameters simultaneously. The moisture depletion pattern and deep percolation corresponding to optimized parameters for these crops were found to be in close agreement with observed values.

Suggested Citation

  • Sonkar, Ickkshaanshu & Kotnoor, Hari Prasad & Sen, Sumit, 2019. "Estimation of root water uptake and soil hydraulic parameters from root zone soil moisture and deep percolation," Agricultural Water Management, Elsevier, vol. 222(C), pages 38-47.
    • Handle: RePEc:eee:agiwat:v:222:y:2019:i:c:p:38-47
    DOI: 10.1016/j.agwat.2019.05.037
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    References listed on IDEAS

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    1. Skaggs, Todd H. & van Genuchten, Martinus Th. & Shouse, Peter J. & Poss, James A., 2006. "Macroscopic approaches to root water uptake as a function of water and salinity stress," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 140-149, November.
    2. Šimůnek, Jiří & Hopmans, Jan W., 2009. "Modeling compensated root water and nutrient uptake," Ecological Modelling, Elsevier, vol. 220(4), pages 505-521.
    3. Kang, Shaozhong & Zhang, Fucang & Zhang, Jianhua, 2001. "A simulation model of water dynamics in winter wheat field and its application in a semiarid region," Agricultural Water Management, Elsevier, vol. 49(2), pages 115-129, July.
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    Cited by:

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    3. Georgia-Maria Nteve & Stefanos Kostas & Alexios N. Polidoros & Panagiotis Madesis & Irini Nianiou-Obeidat, 2024. "Adaptation Mechanisms of Olive Tree under Drought Stress: The Potential of Modern Omics Approaches," Agriculture, MDPI, vol. 14(4), pages 1-18, April.

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