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A comparison of the HYDRUS (2D/3D) and SALTMED models to investigate the influence of various water-saving irrigation strategies on the maize water footprint

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  • Karandish, Fatemeh
  • Šimůnek, Jiří

Abstract

In this comparative research, we applied the HYDRUS (2D/3D) and SALTMED models to investigate the influence of various water-saving irrigation strategies on maize water footprints (WFs). The models were first calibrated and validated based on data collected in a two-year field investigation under five water-saving irrigation treatments: full irrigation (FI), partial root-zone drying at water deficit levels of 55% (PRD55) and 75% (PRD75), and deficit irrigation at the same levels (DI55 and DI75). While the SALTMED model performed well when simulating crop growth parameters, with absolute relative error (RE) of 3.5–12%, the HYDRUS (2D/3D) model was more accurate when simulating soil water and solute transport, with the normalized values of the root mean square error (nRMSEs, 6.7–31.8%) and the mean bias error (nMBEs, 7.7–34.3%) lower than by SALTMED. This better performance of HYDRUS (2D/3D) resulted in 0.6–3.0% and 5.3–30.2% lower values of estimated consumptive and degradative WFs, respectively, compared to values estimated by SALTMED. While no considerable differences were observed among various irrigation treatments regarding their consumptive WFs for the maize production, PRD75 may represent a safer option under the water crisis, since its grey WF was 17.1–77.2% lower than those estimated for the other water-saving irrigation treatments. This WF reduction was accompanied by an insignificant reduction in crop yield and improved N uptake. Based on our results, while HYDRUS (2D/3D) provides more reliable results, both the HYDRUS (2D/3D) and SALTMED models may be applied for the evaluation of new targets implemented for achieving sustainable agriculture in water-scarce regions.

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  • Karandish, Fatemeh & Šimůnek, Jiří, 2019. "A comparison of the HYDRUS (2D/3D) and SALTMED models to investigate the influence of various water-saving irrigation strategies on the maize water footprint," Agricultural Water Management, Elsevier, vol. 213(C), pages 809-820.
    • Handle: RePEc:eee:agiwat:v:213:y:2019:i:c:p:809-820
    DOI: 10.1016/j.agwat.2018.11.023
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    1. Arjen Y. Hoekstra, 2017. "Water Footprint Assessment: Evolvement of a New Research Field," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 3061-3081, August.
    2. Hassanli, Mohammad & Ebrahimian, Hamed & Mohammadi, Ehsan & Rahimi, Amirreza & Shokouhi, Amirhossein, 2016. "Simulating maize yields when irrigating with saline water, using the AquaCrop, SALTMED, and SWAP models," Agricultural Water Management, Elsevier, vol. 176(C), pages 91-99.
    3. 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.
    4. Kirda, C. & Cetin, M. & Dasgan, Y. & Topcu, S. & Kaman, H. & Ekici, B. & Derici, M. R. & Ozguven, A. I., 2004. "Yield response of greenhouse grown tomato to partial root drying and conventional deficit irrigation," Agricultural Water Management, Elsevier, vol. 69(3), pages 191-201, October.
    5. Hanson, Blaine R. & Simunek, Jirka & Hopmans, Jan W., 2006. "Evaluation of urea-ammonium-nitrate fertigation with drip irrigation using numerical modeling," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 102-113, November.
    6. Siyal, A.A. & Skaggs, T.H., 2009. "Measured and simulated soil wetting patterns under porous clay pipe sub-surface irrigation," Agricultural Water Management, Elsevier, vol. 96(6), pages 893-904, June.
    7. 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.
    8. Karandish, Fatemeh & Šimůnek, Jiří, 2016. "A field-modeling study for assessing temporal variations of soil-water-crop interactions under water-saving irrigation strategies," Agricultural Water Management, Elsevier, vol. 178(C), pages 291-303.
    9. Crevoisier, D. & Popova, Z. & Mailhol, J.C. & Ruelle, P., 2008. "Assessment and simulation of water and nitrogen transfer under furrow irrigation," Agricultural Water Management, Elsevier, vol. 95(4), pages 354-366, April.
    10. Karandish, Fatemeh & Šimůnek, Jiří, 2017. "Two-dimensional modeling of nitrogen and water dynamics for various N-managed water-saving irrigation strategies using HYDRUS," Agricultural Water Management, Elsevier, vol. 193(C), pages 174-190.
    11. Afzal, M. & Battilani, A. & Solimando, D. & Ragab, R., 2016. "Improving water resources management using different irrigation strategies and water qualities: Field and modelling study," Agricultural Water Management, Elsevier, vol. 176(C), pages 40-54.
    12. Ajdary, Khalil & Singh, D.K. & Singh, A.K. & Khanna, Manoj, 2007. "Modelling of nitrogen leaching from experimental onion field under drip fertigation," Agricultural Water Management, Elsevier, vol. 89(1-2), pages 15-28, April.
    13. Ragab, R. & Malash, N. & Gawad, G. Abdel & Arslan, A. & Ghaibeh, A., 2005. "A holistic generic integrated approach for irrigation, crop and field management: 2. The SALTMED model validation using field data of five growing seasons from Egypt and Syria," Agricultural Water Management, Elsevier, vol. 78(1-2), pages 89-107, September.
    14. Karandish, Fatemeh & Šimůnek, Jiří, 2018. "An application of the water footprint assessment to optimize production of crops irrigated with saline water: A scenario assessment with HYDRUS," Agricultural Water Management, Elsevier, vol. 208(C), pages 67-82.
    15. Payero, Jose O. & Melvin, Steven R. & Irmak, Suat & Tarkalson, David, 2006. "Yield response of corn to deficit irrigation in a semiarid climate," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 101-112, July.
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