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Actual Evapotranspiration for Sugarcane Based on Bowen Ratio-Energy Balance and Soil Water Balance Models with Optimized Crop Coefficients

Author

Listed:
  • Suelen Costa Faria Martins

    (Institute of Technology, Federal Rural University of Rio de Janeiro)

  • Marcos Alex Santos

    (Federal University of Alagoas)

  • Gustavo Bastos Lyra

    (Forest Institute, Federal Rural University of Rio de Janeiro)

  • José Leonaldo Souza

    (Federal University of Alagoas)

  • Guilherme Bastos Lyra

    (Federal University of Alagoas)

  • Iêdo Teodoro

    (Federal University of Alagoas)

  • Fábio Freitas Ferreira

    (Institute of Humanity and Health, Fluminense Federal University)

  • Ricardo Araújo Ferreira Júnior

    (Federal University of Alagoas)

  • Alexsandro Claudio Santos Almeida

    (Federal University of Alagoas)

  • Renan Cantalice Souza

    (Federal University of Alagoas)

Abstract

Evapotranspiration is an important parameter to evaluate soil water deficit and water use efficiency, especially in locations with irregularly distributed precipitation. The aim of this study was to assess the daily actual evapotranspiration (ETa) estimated by the Thornthwaite and Mather soil water balance adapted for crops (ThM) and by the dual Kc method with the crop coefficients optimized from inverse modeling and by the adjustment suggested in the FAO-56 bulletin. The models were optimized and evaluated with actual evapotranspiration determined by the Bowen ratio – energy balance method (ETβ) for sugarcane at full canopy closure grown in Alagoas state, northeastern Brazil. The objective function of the inverse problem was defined in terms of ETβ and ETa estimated by the ThM or dual Kc method by optimizing the single crop coefficient (Kc) and the basal crop coefficient Kcb, respectively. Optimized Kc (1.05) and Kcb (1.03) were lower than those adjusted by the Kc FAO56 method (Kc = 1.25 or Kcb = 1.20), with optimized Kc slightly higher than the Kc obtained experimentally (1.01 ± 0.08). ETa estimated by the ThM and dual Kc method with optimized crop coefficients had similar high precision (r2 > 0.79) and accuracy (dm > 0.93 and RMSE

Suggested Citation

  • Suelen Costa Faria Martins & Marcos Alex Santos & Gustavo Bastos Lyra & José Leonaldo Souza & Guilherme Bastos Lyra & Iêdo Teodoro & Fábio Freitas Ferreira & Ricardo Araújo Ferreira Júnior & Alexsandr, 2022. "Actual Evapotranspiration for Sugarcane Based on Bowen Ratio-Energy Balance and Soil Water Balance Models with Optimized Crop Coefficients," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4557-4574, September.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:12:d:10.1007_s11269-022-03263-5
    DOI: 10.1007/s11269-022-03263-5
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    References listed on IDEAS

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    1. C. Cammalleri & G. Ciraolo & M. Minacapilli & G. Rallo, 2013. "Evapotranspiration from an Olive Orchard using Remote Sensing-Based Dual Crop Coefficient Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4877-4895, November.
    2. Dimitris Tigkas & Harris Vangelis & George Tsakiris, 2020. "Implementing Crop Evapotranspiration in RDI for Farm-Level Drought Evaluation and Adaptation under Climate Change Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(14), pages 4329-4343, November.
    3. 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.
    4. Mohamed A. Mattar & A. A. Alazba & Bander Alblewi & Bahram Gharabaghi & Mohamed A. Yassin, 2016. "Evaluating and Calibrating Reference Evapotranspiration Models Using Water Balance under Hyper-Arid Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3745-3767, September.
    5. Bastidas-Obando, E. & Bastiaanssen, W.G.M. & Jarmain, C., 2017. "Estimation of transpiration fluxes from rainfed and irrigated sugarcane in South Africa using a canopy resistance and crop coefficient model," Agricultural Water Management, Elsevier, vol. 181(C), pages 94-107.
    6. Athanasios Margonis & Georgia Papaioannou & Petros Kerkides & Gianna Kitsara & George Bourazanis, 2018. "Canopy Resistance and Actual Evapotranspiration over an Olive Orchard," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 5007-5026, December.
    7. Dingre, S.K. & Gorantiwar, S.D., 2020. "Determination of the water requirement and crop coefficient values of sugarcane by field water balance method in semiarid region," Agricultural Water Management, Elsevier, vol. 232(C).
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