IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v243y2021ics0378377420310040.html
   My bibliography  Save this article

Influence Of The Estimated Global Solar Radiation On The Reference Evapotranspiration Obtained Through The Penman-Monteith Fao 56 Method

Author

Listed:
  • Cunha, Angélica Carvalho
  • Filho, Luís Roberto Almeida Gabriel
  • Tanaka, Adriana Aki
  • Goes, Bruno Cesar
  • Putti, Fernando Ferrari

Abstract

Agriculture accounts for a significant portion of the state of Minas Gerais' GDP, which is one of the most productive Brazilian states in the agricultural sector. Given this scenario, it is essential to know the elements that affect agricultural productivity. The data manipulated in this work were obtained from the Network of Automatic Meteorological Stations (EMA's) from the National Institute of Meteorology (INMET) located in 51 cities from the State of Minas Gerais. There is a lack of studies to determine the most appropriate model to estimate evapotranspiration with less error in the state of Minas Gerais. Such studies are necessary because the state in question has different climatic and hydrological conditions. The objective of this paper was to evaluate whether the estimation of global solar radiation can influence the daily reference evapotranspiration by the Penman-Monteith FAO 56 method, for the state of Minas Gerais, Brazil. The estimated radiation data were applied to the Penman-Monteith FAO equation for reference evapotranspiration estimation, and these results were compared to the reference evapotranspiration data obtained by the Penman-Monteith FAO equation with radiation data measured at the stations. The performance indexes used were: Mean Relative Error (MRE), Root Mean Square Error (RMSE) and Willmott's d index. The solar radiation values used, when calibrated for the study site, tended to overestimate the evapotranspiration values, presented dispersion of 0.76 mm d-1 on average and the degree of precision of the calibrated models had an average of 0.65 mm d-1. The best solar radiation estimation model for the cities studied was the Thorton and Running model.

Suggested Citation

  • Cunha, Angélica Carvalho & Filho, Luís Roberto Almeida Gabriel & Tanaka, Adriana Aki & Goes, Bruno Cesar & Putti, Fernando Ferrari, 2021. "Influence Of The Estimated Global Solar Radiation On The Reference Evapotranspiration Obtained Through The Penman-Monteith Fao 56 Method," Agricultural Water Management, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:agiwat:v:243:y:2021:i:c:s0378377420310040
    DOI: 10.1016/j.agwat.2020.106491
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377420310040
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2020.106491?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sentelhas, Paulo C. & Gillespie, Terry J. & Santos, Eduardo A., 2010. "Evaluation of FAO Penman-Monteith and alternative methods for estimating reference evapotranspiration with missing data in Southern Ontario, Canada," Agricultural Water Management, Elsevier, vol. 97(5), pages 635-644, May.
    2. Tasumi, Masahiro, 2019. "Estimating evapotranspiration using METRIC model and Landsat data for better understandings of regional hydrology in the western Urmia Lake Basin," Agricultural Water Management, Elsevier, vol. 226(C).
    3. Pereira, Luis Santos & Oweis, Theib & Zairi, Abdelaziz, 2002. "Irrigation management under water scarcity," Agricultural Water Management, Elsevier, vol. 57(3), pages 175-206, December.
    4. Jacovides, C. P. & Kontoyiannis, H., 1995. "Statistical procedures for the evaluation of evapotranspiration computing models," Agricultural Water Management, Elsevier, vol. 27(3-4), pages 365-371, July.
    5. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Montoya, F. & Camargo, D. & Domínguez, A. & Ortega, J.F. & Córcoles, J.I., 2018. "Parametrization of Cropsyst model for the simulation of a potato crop in a Mediterranean environment," Agricultural Water Management, Elsevier, vol. 203(C), pages 297-310.
    2. Toumi, J. & Er-Raki, S. & Ezzahar, J. & Khabba, S. & Jarlan, L. & Chehbouni, A., 2016. "Performance assessment of AquaCrop model for estimating evapotranspiration, soil water content and grain yield of winter wheat in Tensift Al Haouz (Morocco): Application to irrigation management," Agricultural Water Management, Elsevier, vol. 163(C), pages 219-235.
    3. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    4. Berti, Antonio & Tardivo, Gianmarco & Chiaudani, Alessandro & Rech, Francesco & Borin, Maurizio, 2014. "Assessing reference evapotranspiration by the Hargreaves method in north-eastern Italy," Agricultural Water Management, Elsevier, vol. 140(C), pages 20-25.
    5. Alvar-Beltrán, Jorge & Saturnin, Coulibaly & Grégoire, Baki & Camacho, Jose Luís & Dao, Abdalla & Migraine, Jean Baptiste & Marta, Anna Dalla, 2023. "Using AquaCrop as a decision-support tool for improved irrigation management in the Sahel region," Agricultural Water Management, Elsevier, vol. 287(C).
    6. Andarzian, B. & Bannayan, M. & Steduto, P. & Mazraeh, H. & Barati, M.E. & Barati, M.A. & Rahnama, A., 2011. "Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran," Agricultural Water Management, Elsevier, vol. 100(1), pages 1-8.
    7. Heidarpour, M. & Mostafazadeh-Fard, B. & Abedi Koupai, J. & Malekian, R., 2007. "The effects of treated wastewater on soil chemical properties using subsurface and surface irrigation methods," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 87-94, May.
    8. Garg, N.K. & Dadhich, Sushmita M., 2014. "Integrated non-linear model for optimal cropping pattern and irrigation scheduling under deficit irrigation," Agricultural Water Management, Elsevier, vol. 140(C), pages 1-13.
    9. Patanè, C. & Cosentino, S.L., 2010. "Effects of soil water deficit on yield and quality of processing tomato under a Mediterranean climate," Agricultural Water Management, Elsevier, vol. 97(1), pages 131-138, January.
    10. Darouich, Hanaa & Karfoul, Razan & Ramos, Tiago B. & Moustafa, Ali & Shaheen, Baraa & Pereira, Luis S., 2021. "Crop water requirements and crop coefficients for jute mallow (Corchorus olitorius L.) using the SIMDualKc model and assessing irrigation strategies for the Syrian Akkar region," Agricultural Water Management, Elsevier, vol. 255(C).
    11. Abd El-Wahed, M.H. & Ali, E.A., 2013. "Effect of irrigation systems, amounts of irrigation water and mulching on corn yield, water use efficiency and net profit," Agricultural Water Management, Elsevier, vol. 120(C), pages 64-71.
    12. Pedras, C.M.G. & Pereira, L.S. & Gonalves, J.M., 2009. "MIRRIG: A decision support system for design and evaluation of microirrigation systems," Agricultural Water Management, Elsevier, vol. 96(4), pages 691-701, April.
    13. Giorgio Baiamonte & Mario Minacapilli & Giuseppina Crescimanno, 2020. "Effects of Biochar on Irrigation Management and Water Use Efficiency for Three Different Crops in a Desert Sandy Soil," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    14. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    15. Sandhu, O.S. & Gupta, R.K. & Thind, H.S. & Jat, M.L. & Sidhu, H.S. & Yadvinder-Singh,, 2019. "Drip irrigation and nitrogen management for improving crop yields, nitrogen use efficiency and water productivity of maize-wheat system on permanent beds in north-west India," Agricultural Water Management, Elsevier, vol. 219(C), pages 19-26.
    16. Zhang, Dongmei & Guo, Ping, 2016. "Integrated agriculture water management optimization model for water saving potential analysis," Agricultural Water Management, Elsevier, vol. 170(C), pages 5-19.
    17. Gonçalo C. Rodrigues & Ricardo P. Braga, 2021. "Estimation of Reference Evapotranspiration during the Irrigation Season Using Nine Temperature-Based Methods in a Hot-Summer Mediterranean Climate," Agriculture, MDPI, vol. 11(2), pages 1-13, February.
    18. Jacovides, C.P. & Tymvios, F.S. & Assimakopoulos, V.D. & Kaltsounides, N.A., 2006. "Comparative study of various correlations in estimating hourly diffuse fraction of global solar radiation," Renewable Energy, Elsevier, vol. 31(15), pages 2492-2504.
    19. Calzadilla, Alvaro & Rehdanz, Katrin & Tol, Richard S.J., 2008. "Water scarcity and the impact of improved irrigation management: A CGE analysis," Conference papers 331788, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    20. Geerts, S. & Raes, D. & Garcia, M., 2010. "Using AquaCrop to derive deficit irrigation schedules," Agricultural Water Management, Elsevier, vol. 98(1), pages 213-216, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:243:y:2021:i:c:s0378377420310040. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.