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Modeling evapotranspiration for irrigation water management in a humid climate

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  • Anapalli, Saseendran S.
  • Fisher, Daniel K.
  • Reddy, Krishna N.
  • Rajan, Nithya
  • Pinnamaneni, Srinivasa Rao

Abstract

Quantifying evapotranspiration (ET, consumptive crop water requirement) is critical to managing limited water resources for crop irrigations. Agricultural system simulation models that realistically simulate the ET processes are potential tools for integration, synthesis, and extrapolation of location-specific water management research data across soils and climates for limited-water management in agriculture. The objective of this investigation was to evaluate the accuracy of the Root Zone Water Quality Model v2.0 (RZWQM2) simulated ET against ET measured in corn, soybean, and cotton cropping systems in a predominantly clay soil under humid climate in the Lower Mississippi (MS) Delta, USA, in 2016, 2017, and 2018. Energy balance (EB) and eddy covariance (EC) methods were used for measuring ET. The RZWQM2 parameters calibrated in previous studies at the location were used in the simulations. Potential evapotranspiration (PET) in the model was simulated using an extended approach based on the Shuttleworth and Wallace (SW) model. Water infiltration into the soil was simulated using the Green and Ampt approach, and its further movement in soil layers and contributions to soil evaporation using Richard’s equation. Across the three crops and their crop-seasons, simulated daily ET deviated from EC and EB estimates with RMSEs between 0.09 and 0.14 cm and RRMSEs between 21 and 37%. On a weekly basis, accuracies in simulated ET (ETS) improved significantly with RRMSEs between 9 and 17%, and on a seasonal basis RRMSEs were between -9 and 11%. The imbalance in incoming and outgoing energies accounted in the EC system varied between 2 to 12%; taking this uncertainty in estimated ET into account, the accuracies in weekly and seasonal ET simulations were reasonable for their use in irrigation management at these time-scales.

Suggested Citation

  • Anapalli, Saseendran S. & Fisher, Daniel K. & Reddy, Krishna N. & Rajan, Nithya & Pinnamaneni, Srinivasa Rao, 2019. "Modeling evapotranspiration for irrigation water management in a humid climate," Agricultural Water Management, Elsevier, vol. 225(C).
    • Handle: RePEc:eee:agiwat:v:225:y:2019:i:c:s0378377419307036
    DOI: 10.1016/j.agwat.2019.105731
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    References listed on IDEAS

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    1. Anapalli, Saseendran S. & Fisher, Daniel K. & Reddy, Krishna N. & Wagle, Pradeep & Gowda, Prasanna H. & Sui, Ruixiu, 2018. "Quantifying soybean evapotranspiration using an eddy covariance approach," Agricultural Water Management, Elsevier, vol. 209(C), pages 228-239.
    2. Anapalli, Saseendran S. & Ahuja, Lajpat R. & Gowda, Prasanna H. & Ma, Liwang & Marek, Gary & Evett, Steven R. & Howell, Terry A., 2016. "Simulation of crop evapotranspiration and crop coefficients with data in weighing lysimeters," Agricultural Water Management, Elsevier, vol. 177(C), pages 274-283.
    3. Ma, L. & Hoogenboom, G. & Ahuja, L.R. & Ascough II, J.C. & Saseendran, S.A., 2006. "Evaluation of the RZWQM-CERES-Maize hybrid model for maize production," Agricultural Systems, Elsevier, vol. 87(3), pages 274-295, March.
    4. Saseendran, S.A. & Trout, T.J. & Ahuja, L.R. & Ma, L. & McMaster, G.S. & Nielsen, D.C. & Andales, A.A. & Chávez, J.L. & Ham, J., 2015. "Quantifying crop water stress factors from soil water measurements in a limited irrigation experiment," Agricultural Systems, Elsevier, vol. 137(C), pages 191-205.
    5. Alves, Isabel & Cameira, Maria do Rosario, 2002. "Evapotranspiration estimation performance of root zone water quality model: evaluation and improvement," Agricultural Water Management, Elsevier, vol. 57(1), pages 61-73, September.
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    1. Zhao, Haigen & Ma, Yanfei, 2021. "Effects of various driving factors on potential evapotranspiration trends over the main grain-production area of China while accounting for vegetation dynamics," Agricultural Water Management, Elsevier, vol. 250(C).
    2. Tianyi Yang & Haichao Yu & Sien Li & Xiangning Yuan & Xiang Ao & Haochong Chen & Yuexin Wang & Jie Ding, 2024. "Driving Factors and Numerical Simulation of Evapotranspiration of a Typical Cabbage Agroecosystem in the Shiyang River Basin, Northwest China," Agriculture, MDPI, vol. 14(6), pages 1-14, June.
    3. Anapalli, Saseendran S. & Pinnamaneni, Srinivasa R. & Reddy, Krishna N. & Sui, Ruixiu & Singh, Gurbir, 2022. "Investigating soybean (Glycine max L.) responses to irrigation on a large-scale farm in the humid climate of the Mississippi Delta region," Agricultural Water Management, Elsevier, vol. 262(C).
    4. Wagle, Pradeep & Gowda, Prasanna H. & Northup, Brian K. & Neel, James P.S., 2021. "Ecosystem-level water use efficiency and evapotranspiration partitioning in conventional till and no-till rainfed canola," Agricultural Water Management, Elsevier, vol. 250(C).
    5. Jiang, Shouzheng & Zhao, Lu & Liang, Chuan & Hu, Xiaotao & Yaosheng, Wang & Gong, Daozhi & Zheng, Shunsheng & Huang, Yaowei & He, QingYan & Cui, Ningbo, 2022. "Leaf- and ecosystem-scale water use efficiency and their controlling factors of a kiwifruit orchard in the humid region of Southwest China," Agricultural Water Management, Elsevier, vol. 260(C).
    6. Kayatz, Benjamin & Baroni, Gabriele & Hillier, Jon & Lüdtke, Stefan & Freese, Dirk & Wattenbach, Martin, 2024. "Supporting decision-making in agricultural water management under data scarcity using global datasets – chances, limits and potential improvements," Agricultural Water Management, Elsevier, vol. 296(C).

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