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Developing a reliable strategy to infer the effective soil hydraulic properties from field evaporation experiments for agro-hydrological models

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  • Zhang, Kefeng
  • Burns, Ian G.
  • Greenwood, Duncan J.
  • Hammond, John P.
  • White, Philip J.

Abstract

The Richards equation has been widely used for simulating soil water movement. However, the take-up of agro-hydrological models using the basic theory of soil water flow for optimizing irrigation, fertilizer and pesticide practices is still low. This is partly due to the difficulties in obtaining accurate values for soil hydraulic properties at a field scale. Here, we use an inverse technique to deduce the effective soil hydraulic properties, based on measuring the changes in the distribution of soil water with depth in a fallow field over a long period, subject to natural rainfall and evaporation using a robust micro Genetic Algorithm. A new optimized function was constructed from the soil water contents at different depths, and the soil water at field capacity. The deduced soil water retention curve was approximately parallel but higher than that derived from published pedo-tranfer functions for a given soil pressure head. The water contents calculated from the deduced soil hydraulic properties were in good agreement with the measured values. The reliability of the deduced soil hydraulic properties was tested in reproducing data measured from an independent experiment on the same soil cropped with leek. The calculation of root water uptake took account for both soil water potential and root density distribution. Results show that the predictions of soil water contents at various depths agree fairly well with the measurements, indicating that the inverse analysis is an effective and reliable approach to estimate soil hydraulic properties, and thus permits the simulation of soil water dynamics in both cropped and fallow soils in the field accurately.

Suggested Citation

  • Zhang, Kefeng & Burns, Ian G. & Greenwood, Duncan J. & Hammond, John P. & White, Philip J., 2010. "Developing a reliable strategy to infer the effective soil hydraulic properties from field evaporation experiments for agro-hydrological models," Agricultural Water Management, Elsevier, vol. 97(3), pages 399-409, March.
  • Handle: RePEc:eee:agiwat:v:97:y:2010:i:3:p:399-409
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    References listed on IDEAS

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    1. Bastiaanssen, W.G.M. & Allen, R.G. & Droogers, P. & D'Urso, G. & Steduto, P., 2007. "Twenty-five years modeling irrigated and drained soils: State of the art," Agricultural Water Management, Elsevier, vol. 92(3), pages 111-125, September.
    2. Ritter, A. & Hupet, F. & Munoz-Carpena, R. & Lambot, S. & Vanclooster, M., 2003. "Using inverse methods for estimating soil hydraulic properties from field data as an alternative to direct methods," Agricultural Water Management, Elsevier, vol. 59(2), pages 77-96, March.
    3. Gómez, S. & Severino, G. & Randazzo, L. & Toraldo, G. & Otero, J.M., 2009. "Identification of the hydraulic conductivity using a global optimization method," Agricultural Water Management, Elsevier, vol. 96(3), pages 504-510, March.
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    1. Zhang, Kefeng & Greenwood, Duncan J. & Spracklen, William P. & Rahn, Clive R. & Hammond, John P. & White, Philip J. & Burns, Ian G., 2010. "A universal agro-hydrological model for water and nitrogen cycles in the soil-crop system SMCR_N: Critical update and further validation," Agricultural Water Management, Elsevier, vol. 97(10), pages 1411-1422, October.
    2. Liu, Ziqi & Li, Kaiping & Xiong, Kangning & Li, Yuan & Wang, Jin & Sun, Jian & Cai, Lulu, 2021. "Effects of Zanthoxylum bungeanum planting on soil hydraulic properties and soil moisture in a karst area," Agricultural Water Management, Elsevier, vol. 257(C).
    3. Zhang, Kefeng & Zhang, Tuqiao & Yang, Dejun, 2010. "An explicit hydrological algorithm for basic flow and transport equations and its application in agro-hydrological models for water and nitrogen dynamics," Agricultural Water Management, Elsevier, vol. 98(1), pages 114-123, December.
    4. Zhang, Kefeng & Hilton, Howard W. & Greenwood, Duncan J. & Thompson, Andrew J., 2011. "A rigorous approach of determining FAO56 dual crop coefficient using soil sensor measurements and inverse modeling techniques," Agricultural Water Management, Elsevier, vol. 98(6), pages 1081-1090, April.

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