Revista de Investigaciones Altoandinas - Journal of High Andean Research

Vol. 21 No. 3 (2019)
Case report

Alternative methods of estimation of reference evapotranspiration in the Yauri station (Cusco, Peru)

pdf (Spanish)
  • Apolinario Lujano,
  • José P. Quispe,
  • Efrain Lujano
Apolinario Lujano
National University of the Altiplano Puno Peru
José P. Quispe
National University of the Altiplano Puno Peru
Efrain Lujano
National University of the Altiplano Puno Peru

Published 2019-07-26

Keywords

  • High Apurímac basin,
  • Hargreaves-Samani,
  • Penman-Monteith,
  • Ravazzani,
  • Serruto,
  • Turc
    • ...More
    Less

How to Cite

Lujano, A. ., Quispe, J. P. ., & Lujano, E. . (2019). Alternative methods of estimation of reference evapotranspiration in the Yauri station (Cusco, Peru). Revista De Investigaciones Altoandinas - Journal of High Andean Research, 21(3), 215-224. https://doi.org/10.18271/ria.2019.479

Abstract

Reference evapotranspiration (ΕΤo) is a major component of the hydrological cycle and its estimation is essential for the net irrigation requirement, planning and management of regional water resources. The objective was to evaluate the performance of different empirical methods to estimate the reference evapotranspiration and propose an alternative to estimate the ETo in cases of limitation of meteorological data at the Yauri weather station. The methodology consisted of comparing the results of different empirical methods with the evapotranspiration estimated using the standard method of FAO-56 Penman-Monteith. The performance of the methods was compared using a qualitative evaluation (scatter plots) and quantitative statistical indicators percentage error (PE), root of the mean square error (RMSE), concordance index (d), correlation coefficient (r) and confidence index (c). The results are encouraging for the HS_Berti method because statistically it has an optimal performance with respect to the other methods, with an RMSE=0.22mm / day, PE=3.24%, d=0.29, r=0.95 and c=0.27. It is concluded that the HS_Berti method, having the best performance, can be used as an alternative for the estimation of ETo in cases of limited meteorological data.

 

pdf (Spanish)

References

  1. Allen, R. G., Pereira, L. S., Rae, S. D., & Smith, M. (1998). Evapotranspiración del cultivo. Guías para la determinación de los requerimientos de agua de los cultivos. Roma: Estudio FAO, Riego y Drenaje Nº 56.
  2. Berti, A., Tardivo, G., Chiaudani, A., Rech, F., & Borin, M. (2014). Assessing reference evapotranspiration by the Hargreaves method in north-eastern Italy. Agricultural Water Management, 140, 20-25. http://dx.doi.org/10.1016/j.agwat.2014.03.015
  3. Camargo, A. D., & Sentelhas, P. C. (1997). Avaliação do desempenho de diferentes métodos de estimativa da evapotranspiração potencial no Estado de São Paulo, Brasil. Revista Brasileira de agrometeorologia, 5(1), 89-97. Recuperado de http://www.leb.esalq.usp.br/agmfacil/artigos/artigos_sentelhas_1997/1997_RBAgro_5(1)_89-97_ETPM%E9todosSP.pdf
  4. Chen, D., Gao, G., Xu, C. Y., Guo, J., & Ren, G. (2005). Comparison of the Thornthwaite method and pan data with the standard Penman-Monteith estimates of reference evapotranspiration in China. Climate Research, 28(2), 123-132. Recuperado de https://www.int-res.com/articles/cr2002/cr2004/28/c028p123.pdf
  5. da Cunha, F. F., Magalhães, F. F., & de Castro, M. A. (2013). Métodos para estimativa da evapotranspiração de referência para Chapadão do Sul-MS. Revista Engenharia na Agricultura-Reveng, 21(2), 159-172. https://doi.org/10.13083/reveng.v21i2.346
  6. Djaman, K., Tabari, H., Balde, A. B., Diop, L., Futakuchi, K., & Irmak, S. (2016). Analyses, calibration and validation of evapotranspiration models to predict grass-reference evapotranspiration in the Senegal river delta. Journal of Hydrology: Regional Studies, 8, 82-94. https://doi.org/10.1016/j.ejrh.2016.06.003
  7. de Carvalho Alves, M., de Carvalho, L. G., Vianello, R. L., Sediyama, G. C., de Oliveira, M. S., & de Sá Junior, A. (2013). Geostatistical improvements of evapotranspiration spatial information using satellite land surface and weather stations data. Theoretical and applied climatology, 113(1-2), 155-174.
  8. Droogers, P., & Allen, R. G. (2002). Estimating reference evapotranspiration under inaccurate data conditions. Irrigation and drainage systems, 16(1), 33-45. Recuperado de https://www.futurewater.eu/wp-content/uploads/2013/01/PDroogers_2002_IrrigationDrainage.pdf
  9. Gharbia, S. S., Smullen, T., Gill, L., Johnston, P., & Pilla, F. (2018). Spatially distributed potential evapotranspiration modeling and climate projections. Science of The Total Environment, 633, 571–592. https://doi.org/10.1016/j.scitotenv.2018.03.208
  10. Hargreaves, G.H., & Samani, Z.A. (1985). Reference Crop Evapotranspiration from Temperature. Applied Engineering in Agriculture, 1, 96-99.
  11. Heydari, M. M., Abbasi, A., & Heydari, M. (2013). Estimation of evapotranspiration in Ardestan, Center of Iran. World Appl Sci J, 21(2), 230-236. DOI: 10.5829/idosi.wasj.2013.21.2.2511
  12. Jensen, M.E., & Allen, R.G. (2016). Evaporation, Evapotranspiration, and Irrigation Water Requirements, ASCE Manual and Reports on Engineering Practice, vol. 70. https://doi.org/10.1061/9780784414057
  13. Lavado, W., Lhomme, J., Labat, D., Loup Guyot, J., & Boulet, G. (2015). Estimación de la evapotranspiración de referencia (FAO Penman - Monteith) con limitados datos climáticos en la Cuenca Andina Amazónica Peruana. Revista Peruana Geo – Atmosférica, 4, 34-36. Recuperado de https://web2.senamhi.gob.pe/rpga/pdf/2015_vol04/paper3.pdf
  14. Legates, D. R., & McCabe Jr, G. J. (1999). Evaluating the use of “goodness‐of‐fit” measures in hydrologic and hydroclimatic model validation. Water resources research, 35(1), 233-241. https://doi.org/10.1029/1998WR900018
  15. Martins de Souza, J.; Rosa Pereira; L.; Matta Rafael, A. da; Dias da Silva, L.; Fialho dos Reis, E.; Bonomo, R. 2014. Comparison of methods for estimating reference evapotranspiration in two locations of Espirito Santo. Revista Brasileira de Agricultura Irrigada, 8(2), 114-126. DOI:10.7127/rbai.v8n200225
  16. Mohammadi, M. (2014). Comparison of Evapotranspiration Models for Estimating Reference Evapotranspiration in an Arid and Semiarid Region, Northeast of Iran. J. River Eng, 2(10), 34-41. Recuperado de http://hamkarfile.ir/up/2605.pdf
  17. Mohawesh, O.E. (2011). Evaluation of evapotranspiration models for estimating daily reference evapotranspiration in arid and semiarid environments. Plant Soil Environ., 57(4), 145–152. Recuperado de https://www.agriculturejournals.cz/publicFiles/240_2010-PSE.pdf
  18. Pandey, P. K., Dabral, P. P., & Pandey, V. (2016). Evaluation of reference evapotranspiration methods for the northeastern region of India. International Soil and Water Conservation Research, 4(1), 52-63. https://doi.org/10.1016/j.iswcr.2016.02.003
  19. Ravazzani, G., Corbari, C., Morella, S., Gianoli, P., & Mancini, M. (2011). Modified Hargreaves-Samani equation for the assessment of reference evapotranspiration in Alpine river basins. Journal of irrigation and drainage engineering, 138(7), 592-599.
  20. Serruto, R. (1993). Una nueva fórmula para el cálculo de la evapotranspiración potencial. Puno, Perú: PIWA.
  21. Tabari, H. (2010). Evaluation of reference crop evapotranspiration equations in various climates. Water Resources Management, 24(10), 2311–2337. https://doi.org/10.1007/s11269-009-9553-8
  22. Trezza, R. (2008). Estimación de evapotranspiración de referencia a nivel mensual en Venezuela: ¿Cuál método utilizar? Bioagro, 20(2), 89-95. Recuperado de http://ve.scielo.org/scielo.php?script=sci_arttext&pid=S1316-33612008000200002
  23. Vásquez-Méndez, Rebeca., Ventura-Ramos, Eusebio Jr., & Acosta-Gallegos, Jorge A. (2011). Habilidad de estimación de los métodos de evapotranspiración para una zona semiárida del centro de México. Revista mexicana de ciencias agrícolas, 2(3), 399-415. Recuperado de http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S2007-09342011000300008
  24. Willmott, C. J. (1982). Some comments on the evaluation of model performance. Bulletin of the American Meteorological Society, 63(11), 1309-1313. https://doi.org/10.1175/1520-0477(1982)063<1309:SCOTEO>2.0.CO;2

Similar Articles

You may also start an advanced similarity search for this article.