Evaluation of the efficiency of fixed sprinkler irrigation in Irrigation District 019 of Tehuantepec

Authors

DOI:

https://doi.org/10.29312/remexca.v17i5.4128

Keywords:

efficient use of water, logarithmic profile, uniformity of irrigation distribution, wind speed

Abstract

Wind speed is a climatic variable that conditions irrigation efficiency in sprinkler systems. Its measurement and monitoring are limited at Mexico’s meteorological stations. This work aimed to estimate wind speed at the crop level (1-3 m) using wind data from sensors in the Mexican Wind Atlas to evaluate the efficiency of the high-pressure sprinkler irrigation system in module 6 La Ventosa of DR 019 Tehuantepec, Oaxaca, Mexico. The work was conducted in 2004 using databases from the anemometric station of the Regional Wind Technology Center and a generalized additive model to define its profile and determine wind patterns. An irrigation system was experimentally evaluated under the site’s operating conditions, in accordance with the regulations. The results indicate that variability in speed makes it difficult to obtain an average value of wind speed. During the heat wave, a significant increase in the magnitude of wind speed was observed (above 9 m s-1). Under the conditions evaluated, the irrigation efficiency of the fixed high-pressure sprinkler system is 60%, which is within the average. Wind speed is at the core in estimating sprinkler irrigation efficiency; a better assessment requires direct experimental measurements in the growing area. Estimating wind speeds and directions provides information for the design and operation of the irrigation system in order to increase efficiency.

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References

Abd El-Wahed, M. H.; Medici, M. and Lorenzini, G. 2016. Sprinkler irrigation uniformity: impact on the crop yield and water use efficiency. Journal of Engineering Thermophysics, Maik Nauka-Interperiodica Publishing. 25(1):117-125.

Bjorneberg, D. L.; King, B. A. and Koehn, A. C. 2020. Watershed water balance changes as furrow irrigation are converted to sprinkler irrigation in an arid region. Journal of Soil and Water Conservation. 75(3):254-262. https://doi.org/10.2489/JSWC.75.3.254.

Caswell, T. A.; Droettboom, M.; Lee, A.; Andrade, E. S.; Hoffmann, T.; Hunter, J.; Klymak, J.; Firing, E.; Stansby, D.; Varoquaux, N.; Nielsen, J. H.; Root, B.; May, R.; Elson, P.; Seppänen, J. K.; Dale, D.; Lee, J. J.; McDougall, D.; Straw, A.; Hobson, P.; Hannah; Gohlke, C.; Vincent, A. F.; Yu, T. S.; Ma, E.; Silvester, S.; Moad, C.; Kniazev, N.; Ernest, E.; Ivanov, P. 2021. Matplotlib/matplotlib: REL: v3.5.0. https://doi.org/10.5281/ZENODO.5706396.

Cisneros- Zayas; Venero- Delgado; Placeres- Miranda and González- Robaina. 2019. El viento y su influencia en los parámetros de calidad del riego. Ingeniería Agrícola. 9(4):1-25.

CONAGUA. 2020. Reglas de operación para el programa de apoyo a la infraestructura hidroagrícola, a cargo de la Comisión Nacional Del Agua, aplicables a partir de 2021. https://www.dof.gob.mx/nota-detalle.php?codigo=5609029&fecha=28/12/2020&print=true.

Contreras, J. I.; Baeza, R.; Alonso, F.; Cánovas, G.; Gavilán, P. and Lozano, D. 2020. Effect of distribution uniformity and fertigation volume on the bio-productivity of the greenhouse Zucchini crop. Water (Switzerland). MDPI AG. 12(8):2183-2198. https://doi.org/10.3390/W12082183.

Ge, M.; Wu, P.; Zhu, D. and Zhang, L. 2020. Comparisons of spray characteristics between vertical impact and turbine drive sprinklers -a case study of the 50PYC and HY50 big gun-type sprinklers. Agricultural Water Management. Elsevier B. V. 228:105847. https://doi.org/10.1016/j.agwat.2019.105847.

Grafton, R. Q.; Williams, J.; Perry, C. J., Molle, F.; Ringler, C.; Steduto, P.; Udall, B. 2018. The paradox of irrigation efficiency. Science, American Association for the Advancement of Science. 361(6404):748-750.

Harris, C. R.; Millman, K. J.; Van der Walt, S. J.; Gommers, R.; Virtanen, P.; Cournapeau, D.; Wieser, E.; Taylor, J.; Berg, S.; Smith, N. J.; Kern, R.; Picus, M.; Hoyer, D. S.;Van Kerkwijk, M. H.; Brett, M.; Haldane, A.; Fernández del Río, J.; Wiebe, M.; Peterson, P.; Gérard-Marchant, P.; Sheppard, K.; Reddy, T.; Weckesser, W.; Abbasi, H.; Gohlke, C. and Travis E. Oliphant. 2020. Array programming with NumPy. Nature. 585:357-362. https://doi.org/10.1038/s41586-020-2649-2.

ISO 15886-3. 2021. Characterization of distribution and test methods. Matériel Agricole d’irrigation-asperseurs-partie 3: caractérisation de la distribution et méthodes d’essai. Available at: www.iso.org.

Issaka, Z.; Li, H.; Yue, J.; Tang, P. and Darko, R. O. 2018. Water-smart sprinkler irrigation, prerequisite to climate change adaptation: a review. Journal of Water and Climate Change. 9(2):383-398.

Martín-Benito, J. Ma. 2005. El riego por aspersión y su tecnología. 3ra. Edición. Mundi-Prensa. 581 p.

Merriam, J. L. and Keller, J. 1978. Farm Irritation system evaluation: a guide for management. Book Publisher, Utah State University. 271 p. (https://digitalcommons.usu.edu/cee-facpub/3779/).

Miháliková, M. and Dengiz, O. 2019. Towards more effective Irrigation water usage by employing land suitability assessment for various irrigation techniques. Irrigation and Drainage, John Wiley and Sons Ltd. 68(4):617-628.

Miranda, U. and Saldaña, R. 2019. El Atlas Eólico Mexicano, avances, Mexico. http://aems.ineel.mx/.

Morales-Ruvalcaba, C. F.; Rodríguez-Hernández, O.; Martínez-Alvarado, O.; Drew, D. R. and Ramos, E. 2020. Estimating wind speed and capacity factors in Mexico using reanalysis data. Energy for Sustainable Development. Elsevier, B. 58:158-166. https://doi.org/10.1016/j.esd.2020.08.006.

NMX-O-177-SCFI-2011, Pub. L. No. MNX-O-SCFI-2011, NMX-O-177-SCFI-2011 33. 2011. https://dof.gob.mx/nota-etalle.php?codigo=5205216&fecha=18/08/2011#gsc.tab=0.

Quick, J.; Ogasawara, I.; Maussion, F.; Bachant, P.; Rodas, M.; McCann, J. 2020. Ppython-windrose/windrose: v1.6.8. https://doi.org/10.5281/ZENODO.4028419.

Reback, J.; McKinney, W.; Bossche, J.; Augspurger, T.; Cloud, P.; Klein, A.; Roeschke, M.; Tratner, J.; She, C.; Ayd, W.; Hawkins, S.; Petersen, T.; Schendel, J.; Hayden, A.; Garcia, M.; Jancauskas, V.; Battiston, P.; Seabold, S.; Hoyer, S.; Overmeire, W.; Mehyar, M.; Whelan, C. and Kluyver, T. 2020. Pandas-dev/pandas: Pandas 1.0.0. https://doi.org/10.5281/ZENODO.3630805.

Saccon, P. 2018. Water for agriculture, irrigation management. Applied Soil Ecology. Elsevier B. 123:793-796.

Salvatierra-Bellido, B.; Montero-Martínez, J. and Pérez-Urrestarazu, L. 2018. Development of an automatic test bench to assess sprinkler irrigation uniformity in different wind conditions. Computers and Electronics in Agriculture. Elsevier B. 151:31-40.

Stambouli, T.; Martínez-Cob, A.; Faci, J. M.; Howell, T. and Zapata, N. 2013. Sprinkler evaporation losses in alfalfa during solid-set sprinkler irrigation in semiarid areas. Irrigation Science. 31(5):1075-1089.

Wang, M.; Ullrich, P. and Millstein, D. 2018. Datasets on hub-height wind speed comparisons for wind farms in California. Data in Brief. Elsevier Inc. 19:214-221.

Yacoubi, S.; Zayani, K.; Slatni, A. and Playán, E. 2012. Assessing sprinkler irrigation performance using field evaluations at the Medjerda lower Valley of Tunisia. Engineering. Scientific Research Publishing Inc. 4(10):682-691.

Zerihun, D.; Sanchez, C. A., Thorp, K. R. and Hagler, M. J. 2019. Hydraulics of linear-move sprinkler irrigation systems, III: model evaluation. Irrigation & Drainage Systems Engineering. 8(2):237-248.

Zhu, X.; Lewballah, J.; Fordjour, A.; Jiang, X.; Liu, J.; Ofosu, S. and Dwomoh, F. 2021. Modelling of water drop movement and distribution in no wind and windy conditions for different nozzle sizes. Water. 13(21):3006-3018.

Published

2026-08-29

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Articles

How to Cite

Cano-Paez, Marina, Jorge Flores-Velázquez, Héctor Flores-Magdaleno, Agustín Ruiz-Garcia, and Roberto Asencio-Hernández. 2026. “Evaluation of the Efficiency of Fixed Sprinkler Irrigation in Irrigation District 019 of Tehuantepec”. Revista Mexicana De Ciencias Agrícolas 17 (5): e4128. https://doi.org/10.29312/remexca.v17i5.4128.

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