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Optimizing the Runoff Estimation with HEC-HMS Model Using Spatial Evapotranspiration by the SEBS Model

Author

Listed:
  • Maryam Zare

    (University of Hormozgan)

  • Mojtaba Pakparvar

    (Fars Agricultural and Natural Resources Research and Education Center, AREEO)

  • Sajad Jamshidi

    (Purdue University)

  • Omolbanin Bazrafshan

    (University of Hormozgan)

  • Gholamreza Ghahari

    (Fars Agricultural and Natural Resources Research and Education Center, AREEO)

Abstract

Most of the commonly used hydrological models do not account for the actual evapotranspiration (ETa) as a key contributor to water loss in semi-arid/arid regions. In this study, the HEC-HMS (Hydrologic Engineering Center Hydrologic Modeling System) model was calibrated, modified, and its performance in simulating runoff resulting from short-duration rainfall events was evaluated. The model modifications included integrating spatially distributed ETa, calculated using the surface energy balance system (SEBS), into the model. Evaluating the model’s performance in simulating runoff showed that the default HEC-HMS model underestimated the runoff with root mean squared error (RMSE) of 0.14 m3/s (R2 = 0.92) while incorporating SEBS ETa into the model reduced RMSE to 0.01 m3/s (R2 = 0.99). The integration of HECHMS and SEBS resulted in smaller and more realistic latent heat flux estimates translated into a lower water loss rate and a higher magnitude of runoff simulated by the HECHMS model. The difference between runoff simulations using the default and modified model translated into an average of 95,000 m3 runoff per rainfall event (equal to seasonal water requirement of ten-hectare winter wheat) that could be planned and triggered for agricultural purposes, flood harvesting, and groundwater recharge in the region. The effect of ETa on the simulated runoff volume is expected to be more pronounced during high evaporative demand periods, longer rainfall events, and larger catchments. The outcome of this study signifies the importance of implementing accurate estimates of evapotranspiration into a hydrological model.

Suggested Citation

  • Maryam Zare & Mojtaba Pakparvar & Sajad Jamshidi & Omolbanin Bazrafshan & Gholamreza Ghahari, 2021. "Optimizing the Runoff Estimation with HEC-HMS Model Using Spatial Evapotranspiration by the SEBS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2633-2648, June.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:8:d:10.1007_s11269-021-02855-x
    DOI: 10.1007/s11269-021-02855-x
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    References listed on IDEAS

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    1. Jamshidi, Sajad & Zand-Parsa, Shahrokh & Kamgar-Haghighi, Ali Akbar & Shahsavar, Ali Reza & Niyogi, Dev, 2020. "Evapotranspiration, crop coefficients, and physiological responses of citrus trees in semi-arid climatic conditions," Agricultural Water Management, Elsevier, vol. 227(C).
    2. Mohamed Elhag & Aris Psilovikos & Ioannis Manakos & Kostas Perakis, 2011. "Application of the Sebs Water Balance Model in Estimating Daily Evapotranspiration and Evaporative Fraction from Remote Sensing Data Over the Nile Delta," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(11), pages 2731-2742, September.
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