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A universal agro-hydrological model for water and nitrogen cycles in the soil-crop system SMCR_N: Critical update and further validation

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  • Zhang, Kefeng
  • Greenwood, Duncan J.
  • Spracklen, William P.
  • Rahn, Clive R.
  • Hammond, John P.
  • White, Philip J.
  • Burns, Ian G.

Abstract

Agro-hydrological models have widely been used for optimizing resources use and minimizing environmental consequences in agriculture. SMCR_N is a recently developed sophisticated model which simulates crop response to nitrogen fertilizer for a wide range of crops, and the associated leaching of nitrate from arable soils. In this paper, we describe the improvements of this model by replacing the existing approximate hydrological cascade algorithm with a new simple and explicit algorithm for the basic soil water flow equation, which not only enhanced the model performance in hydrological simulation, but also was essential to extend the model application to the situations where the capillary flow is important. As a result, the updated SMCR_N model could be used for more accurate study of water dynamics in the soil-crop system. The success of the model update was demonstrated by the simulated results that the updated model consistently out-performed the original model in drainage simulations and in predicting time course soil water content in different layers in the soil-wheat system. Tests of the updated SMCR_N model against data from 4 field crop experiments showed that crop nitrogen offtakes and soil mineral nitrogen in the top 90Â cm were in a good agreement with the measured values, indicating that the model could make more reliable predictions of nitrogen fate in the crop-soil system, and thus provides a useful platform to assess the impacts of nitrogen fertilizer on crop yield and nitrogen leaching from different production systems.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:agiwat:v:97:y:2010:i:10:p:1411-1422
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    1. Fernandez-Galvez, J. & Simmonds, L.P., 2006. "Monitoring and modelling the three-dimensional flow of water under drip irrigation," Agricultural Water Management, Elsevier, vol. 83(3), pages 197-208, June.
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    4. 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.
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    Cited by:

    1. Darwish, T. & Atallah, T. & Francis, R. & Saab, C. & Jomaa, I. & Shaaban, A. & Sakka, H. & Zdruli, P., 2011. "Observations on soil and groundwater contamination with nitrate: A case study from Lebanon-East Mediterranean," Agricultural Water Management, Elsevier, vol. 99(1), pages 74-84.
    2. Martínez-Gimeno, M.A. & Jiménez-Bello, M.A. & Lidón, A. & Manzano, J. & Badal, E. & Pérez-Pérez, J.G. & Bonet, L. & Intrigliolo, D.S. & Esteban, A., 2020. "Mandarin irrigation scheduling by means of frequency domain reflectometry soil moisture monitoring," Agricultural Water Management, Elsevier, vol. 235(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.

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