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The Calibration of Evaporation Models against the Penman–Monteith Equation on Lake Most

Author

Listed:
  • Viktor Dubovský

    (Department of Mathematics, Faculty of Civil Engineering, VSB-TU Ostrava, Ludvíka Podéště, 1875/17 Ostrava, Czech Republic)

  • Dagmar Dlouhá

    (Department of Mathematics, Faculty of Civil Engineering, VSB-TU Ostrava, Ludvíka Podéště, 1875/17 Ostrava, Czech Republic)

  • Lukáš Pospíšil

    (Department of Mathematics, Faculty of Civil Engineering, VSB-TU Ostrava, Ludvíka Podéště, 1875/17 Ostrava, Czech Republic)

Abstract

Evaporation is one of the main components of the water cycle in nature. Our interest in free water surface evaporation is due to the needs of ongoing hydric recultivation of the former Ležáky–Most quarry, i.e., Lake Most, and also other planned hydric recultivations in the region. One of the key components of hydric reclamation planning is the securitization of long-term sustainability, which is based on the capability to keep the final water level at a stable level. In our work, we are interested in the evaporation estimation in the area of Lake Most (Czech Republic, Europe). This lake has been artificially created only a few years ago, and nowadays we are looking for a simple evaporation model, based on which we will be able to decide which measurement devices have to be installed at the location to provide more localized data to the model. In this paper, we calibrate state-of-the-art simplified evaporation models against the Penman–Monteith equation based on the Nash–Sutcliffe efficiency maximization. We discuss the suitability of this approach using real-world climate data from the weather station located one km from the area of interest.

Suggested Citation

  • Viktor Dubovský & Dagmar Dlouhá & Lukáš Pospíšil, 2020. "The Calibration of Evaporation Models against the Penman–Monteith Equation on Lake Most," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:313-:d:473101
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    References listed on IDEAS

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    1. Gavilan, Pedro & Berengena, Joaquin & Allen, Richard G., 2007. "Measuring versus estimating net radiation and soil heat flux: Impact on Penman-Monteith reference ET estimates in semiarid regions," Agricultural Water Management, Elsevier, vol. 89(3), pages 275-286, May.
    2. Lovelli, S. & Pizza, S. & Caponio, T. & Rivelli, A.R. & Perniola, M., 2005. "Lysimetric determination of muskmelon crop coefficients cultivated under plastic mulches," Agricultural Water Management, Elsevier, vol. 72(2), pages 147-159, March.
    3. Ashraf, M. & Kahlown, M.A. & Ashfaq, A., 2007. "Impact of small dams on agriculture and groundwater development: A case study from Pakistan," Agricultural Water Management, Elsevier, vol. 92(1-2), pages 90-98, August.
    4. Jabloun, M. & Sahli, A., 2008. "Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: Application to Tunisia," Agricultural Water Management, Elsevier, vol. 95(6), pages 707-715, June.
    5. Allen, Richard G. & Pruitt, William O. & Wright, James L. & Howell, Terry A. & Ventura, Francesca & Snyder, Richard & Itenfisu, Daniel & Steduto, Pasquale & Berengena, Joaquin & Yrisarry, Javier Basel, 2006. "A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method," Agricultural Water Management, Elsevier, vol. 81(1-2), pages 1-22, March.
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