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Evaluating water application efficiency of low and mid elevation spray application under changing weather conditions

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  • Sarwar, Abid
  • Peters, R. Troy
  • Mehanna, Hani
  • Amini, Mohamma Zaman
  • Mohamed, Abdelmoneim Zakaria

Abstract

Over half of the irrigated land in the US, 11.5 million ha, is irrigated with center pivot and linear move systems. Because of this, minor changes in the operation efficiency of these systems can have large impact on overall water conservation. The objective of this study was to evaluate the water application efficiency (WAE) of low and of mid elevation spray application (LESA and MESA) using catch can test and drainage lysimeters, and develop governing equations based on the weather variables. A three-year (2015–2017) field study was conducted at the Washington State University Research and Extension Center, near Prosser. Catch cans were used to collect the fraction of total irrigation-water applied that reached the ground surface as WAE and drainage lysimeters to measure the overall water loss (OAWL) and wind drift and evaporation losses (WDEL), (WDEL = 100-WAE). Air temperature (Ta), relative humidity (RH), short-wave global irradiance (Rg), wind speed (WS), and calculated vapor pressure deficit (VPD) were used as the input weather variables to mixed modeling technique. Results showed that on average 21% more irrigation-water reached the ground with LESA than with MESA systems. Lysimetric measurements showed on average a 16% efficiency difference between MESA and LESA. The monthly WAE differences between MESA and LESA increased from 12 to 30% during the hot summer months and thereafter decreased, from 30 to 9%. The warmer and drier year of 2015 had the highest annual average values of WDEL of 17% for LESA and 19% for MESA. Results indicated a relatively constant WAE for LESA regardless of weather conditions. Mixed modelling showed that VPD was the only significant predictor (P < 0.05) of WAE for LESA, while VPD and WS for MESA. Our results might be used to adjust center pivot travel speed (% settings) to compensate for variations in WAE as the weather changes.

Suggested Citation

  • Sarwar, Abid & Peters, R. Troy & Mehanna, Hani & Amini, Mohamma Zaman & Mohamed, Abdelmoneim Zakaria, 2019. "Evaluating water application efficiency of low and mid elevation spray application under changing weather conditions," Agricultural Water Management, Elsevier, vol. 221(C), pages 84-91.
    • Handle: RePEc:eee:agiwat:v:221:y:2019:i:c:p:84-91
    DOI: 10.1016/j.agwat.2019.04.028
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    References listed on IDEAS

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    1. Tarjuelo, J. M. & Ortega, J. F. & Montero, J. & de Juan, J. A., 2000. "Modelling evaporation and drift losses in irrigation with medium size impact sprinklers under semi-arid conditions," Agricultural Water Management, Elsevier, vol. 43(3), pages 263-284, April.
    2. Al-Ghobari, Hussein M. & El-Marazky, Mohamed S. & Dewidar, Ahmed Z. & Mattar, Mohamed A., 2018. "Prediction of wind drift and evaporation losses from sprinkler irrigation using neural network and multiple regression techniques," Agricultural Water Management, Elsevier, vol. 195(C), pages 211-221.
    3. Sadeghi, S.-H. & Peters, T. & Shafii, B. & Amini, M.Z. & Stöckle, C., 2017. "Continuous variation of wind drift and evaporation losses under a linear move irrigation system," Agricultural Water Management, Elsevier, vol. 182(C), pages 39-54.
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    6. Ortíz, J.N. & Tarjuelo, J.M. & de Juan, J.A., 2009. "Characterisation of evaporation and drift losses with centre pivots," Agricultural Water Management, Elsevier, vol. 96(11), pages 1541-1546, November.
    7. Playan, E. & Salvador, R. & Faci, J.M. & Zapata, N. & Martinez-Cob, A. & Sanchez, I., 2005. "Day and night wind drift and evaporation losses in sprinkler solid-sets and moving laterals," Agricultural Water Management, Elsevier, vol. 76(3), pages 139-159, August.
    8. Mohamed, Abdelmoneim Z. & Peters, R. Troy & Zhu, Xingye & Sarwar, Abid, 2019. "Adjusting irrigation uniformity coefficients for unimportant variability on a small scale," Agricultural Water Management, Elsevier, vol. 213(C), pages 1078-1083.
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    Cited by:

    1. Haijun Liu & Jie Chang & Xiaopei Tang & Jinping Zhang, 2022. "In Situ Measurement of Stemflow, Throughfall and Canopy Interception of Sprinkler Irrigation Water in a Wheat Field," Agriculture, MDPI, vol. 12(8), pages 1-15, August.
    2. Mattar, Mohamed A. & Roy, Dilip Kumar & Al-Ghobari, Hussein M. & Dewidar, Ahmed Z., 2022. "Machine learning and regression-based techniques for predicting sprinkler irrigation's wind drift and evaporation losses," Agricultural Water Management, Elsevier, vol. 265(C).
    3. Muhammad Waseem Rasheed & Jialiang Tang & Abid Sarwar & Suraj Shah & Naeem Saddique & Muhammad Usman Khan & Muhammad Imran Khan & Shah Nawaz & Redmond R. Shamshiri & Marjan Aziz & Muhammad Sultan, 2022. "Soil Moisture Measuring Techniques and Factors Affecting the Moisture Dynamics: A Comprehensive Review," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
    4. Sarwar, Abid & Peters, R. Troy & Shafeeque, Muhammad & Mohamed, Abdelmoneim & Arshad, Arfan & Ullah, Ikram & Saddique, Naeem & Muzammil, Muhammad & Aslam, Rana Ammar, 2021. "Accurate measurement of wind drift and evaporation losses could improve water application efficiency of sprinkler irrigation systems − A comparison of measuring techniques," Agricultural Water Management, Elsevier, vol. 258(C).

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