IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v222y2019icp38-47.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418316275
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.05.037?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yu, Qianan & Cui, Yuanlai, 2022. "Improvement and testing of ORYZA model water balance modules for alternate wetting and drying irrigation," Agricultural Water Management, Elsevier, vol. 271(C).
    2. Jarvis, Nicholas & Larsbo, Mats & Lewan, Elisabet & Garré, Sarah, 2022. "Improved descriptions of soil hydrology in crop models: The elephant in the room?," Agricultural Systems, Elsevier, vol. 202(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kumar, R. & Jat, M.K. & Shankar, V., 2013. "Evaluation of modeling of water ecohydrologic dynamics in soil–root system," Ecological Modelling, Elsevier, vol. 269(C), pages 51-60.
    2. Shouse, Peter J. & Ayars, James E. & Simunek, Jirí, 2011. "Simulating root water uptake from a shallow saline groundwater resource," Agricultural Water Management, Elsevier, vol. 98(5), pages 784-790, March.
    3. Rosa, R.D. & Ramos, T.B. & Pereira, L.S., 2016. "The dual Kc approach to assess maize and sweet sorghum transpiration and soil evaporation under saline conditions: Application of the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 177(C), pages 77-94.
    4. Ramos, Tiago B. & Oliveira, Ana R. & Darouich, Hanaa & Gonçalves, Maria C. & Martínez-Moreno, Francisco J. & Rodríguez, Mario Ramos & Vanderlinden, Karl & Farzamian, Mohammad, 2023. "Field-scale assessment of soil water dynamics using distributed modeling and electromagnetic conductivity imaging," Agricultural Water Management, Elsevier, vol. 288(C).
    5. Ramos, Tiago B. & Darouich, Hanaa & Šimůnek, Jiří & Gonçalves, Maria C. & Martins, José C., 2019. "Soil salinization in very high-density olive orchards grown in southern Portugal: Current risks and possible trends," Agricultural Water Management, Elsevier, vol. 217(C), pages 265-281.
    6. Minhas, P.S. & Ramos, Tiago B. & Ben-Gal, Alon & Pereira, Luis S., 2020. "Coping with salinity in irrigated agriculture: Crop evapotranspiration and water management issues," Agricultural Water Management, Elsevier, vol. 227(C).
    7. Albasha, Rami & Mailhol, Jean-Claude & Cheviron, Bruno, 2015. "Compensatory uptake functions in empirical macroscopic root water uptake models – Experimental and numerical analysis," Agricultural Water Management, Elsevier, vol. 155(C), pages 22-39.
    8. Ramos, Tiago B. & Darouich, Hanaa & Oliveira, Ana R. & Farzamian, Mohammad & Monteiro, Tomás & Castanheira, Nádia & Paz, Ana & Alexandre, Carlos & Gonçalves, Maria C. & Pereira, Luís S., 2023. "Water use, soil water balance and soil salinization risks of Mediterranean tree orchards in southern Portugal under current climate variability: Issues for salinity control and irrigation management," Agricultural Water Management, Elsevier, vol. 283(C).
    9. Ramos, T.B. & Simionesei, L. & Jauch, E. & Almeida, C. & Neves, R., 2017. "Modelling soil water and maize growth dynamics influenced by shallow groundwater conditions in the Sorraia Valley region, Portugal," Agricultural Water Management, Elsevier, vol. 185(C), pages 27-42.
    10. Peters, Andre & Durner, Wolfgang & Iden, Sascha C., 2017. "Modified Feddes type stress reduction function for modeling root water uptake: Accounting for limited aeration and low water potential," Agricultural Water Management, Elsevier, vol. 185(C), pages 126-136.
    11. Kandelous, Maziar M. & Kamai, Tamir & Vrugt, Jasper A. & Šimůnek, Jiří & Hanson, Blaine & Hopmans, Jan W., 2012. "Evaluation of subsurface drip irrigation design and management parameters for alfalfa," Agricultural Water Management, Elsevier, vol. 109(C), pages 81-93.
    12. Barnard, J.H. & van Rensburg, L.D. & Bennie, A.T.P. & du Preez, C.C., 2013. "Simulating water uptake of irrigated field crops from non-saline water table soils: Validation and application of the model SWAMP," Agricultural Water Management, Elsevier, vol. 126(C), pages 19-32.
    13. Phogat, V. & Skewes, M.A. & Cox, J.W. & Alam, J. & Grigson, G. & Šimůnek, J., 2013. "Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree," Agricultural Water Management, Elsevier, vol. 127(C), pages 74-84.
    14. 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.
    15. Wang, Jianjun & Wang, Chuantao & Li, Hongchen & Liu, Yanfang & Li, Huijie & Ren, Ruiqi & Si, Bingcheng, 2023. "Rock water use by apple trees affected by physical properties of the underlying weathered rock," Agricultural Water Management, Elsevier, vol. 287(C).
    16. Mubarak, Ibrahim & Mailhol, Jean Claude & Angulo-Jaramillo, Rafael & Bouarfa, Sami & Ruelle, Pierre, 2009. "Effect of temporal variability in soil hydraulic properties on simulated water transfer under high-frequency drip irrigation," Agricultural Water Management, Elsevier, vol. 96(11), pages 1547-1559, November.
    17. Wang, Lichun & Shi, Jianchu & Zuo, Qiang & Zheng, Wenjuan & Zhu, Xiangming, 2012. "Optimizing parameters of salinity stress reduction function using the relationship between root-water-uptake and root nitrogen mass of winter wheat," Agricultural Water Management, Elsevier, vol. 104(C), pages 142-152.
    18. Noah James Langenfeld & Daniel Fernandez Pinto & James E. Faust & Royal Heins & Bruce Bugbee, 2022. "Principles of Nutrient and Water Management for Indoor Agriculture," Sustainability, MDPI, vol. 14(16), pages 1-25, August.
    19. Coletti, Janaine Z. & Hinz, Christoph & Vogwill, Ryan & Hipsey, Matthew R., 2013. "Hydrological controls on carbon metabolism in wetlands," Ecological Modelling, Elsevier, vol. 249(C), pages 3-18.
    20. Liu, Lining & Wang, Tianshu & Wang, Lichun & Wu, Xun & Zuo, Qiang & Shi, Jianchu & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2022. "Plant water deficit index-based irrigation under conditions of salinity," Agricultural Water Management, Elsevier, vol. 269(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:222:y:2019:i:c:p:38-47. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.