Evaporation Losses and Evapotranspiration Dynamics in Overhead Sprinkler Irrigation

2020 ◽  
Vol 146 (8) ◽  
pp. 04020023
Author(s):  
M. J. Uddin ◽  
S. R. Murphy
Author(s):  
Samuel Dare OLUWAGBAYIDE ◽  
Olugbenga FASANU ◽  
Ajayi Johnson OLORUNTADE

Under the prevailing climate change the world is currently facing, efficient irrigation water management is essential to ensure food security, especially in countries with similar climate to Nigeria. Hence, this study was undertaken at the Research Farm of Federal Polytechnic, Ilaro, Ogun State, Nigeria to evaluate evaporation losses during sprinkler irrigation between March and July 2019. Experiments were performed using 360 rotating sprinkler and single nozzle of diameter 3 mm, while due cognizance was taken of the prevailing climatic conditions. Three operating pressures, namely, 50 kPa, 100 kPa and 150 kPa, representing low pressure, medium pressure and high pressure, respectively, were used. The results showed that operating pressures influence droplet sizes, droplet heights and flow rate during the experiment. In addition, it was observed that at operating pressures of 50 kPa, 100 kPa and 150 kPa, mean percentage of evaporation losses were 8.88%, 13.21% and 16.46%, respectively, indicating that evaporation losses increased with increasing operating pressure. Further analysis showed that percentage evaporation losses increased at higher relative humidity, thereby emphasizing the predominance of air temperature and wind velocity as climatic variable influencing sprinkler evaporation losses. The relationship between wind velocity (Vw ) and air temperature (Ta) and to predict evaporation losses (E ) was a function of E = 7.968Vw + 0.393Ta – 19.977. Therefore, it was concluded that, both climatic factors and operating pressures influence the rate of evaporation losses during sprinkler irrigation, adequate attention should be paid to variation of climatic variables since sprinklers are sold with their specified operating pressures.


2013 ◽  
Vol 146 ◽  
pp. 51-65 ◽  
Author(s):  
Ma. Carmelita R. Alberto ◽  
Roland J. Buresh ◽  
Takashi Hirano ◽  
Akira Miyata ◽  
Reiner Wassmann ◽  
...  

Water SA ◽  
2018 ◽  
Vol 44 (3 July) ◽  
Author(s):  
Samy A Marey ◽  
Mohamed SA El Marazky ◽  
Abdulwahed M Aboukarima

Principal component analysis was merged with the artificial neural network (ANN) technique to predict wind drift and evaporation losses (WDEL) from a sprinkler irrigation system. For this purpose, field experiments were conducted to determine WDEL under different conditions. Data from field experiments and previous studies were used as sample data to train the ANN model. Three models were developed to predict WDEL. In the first model (ANN1), 9 neurons (riser height, main nozzle diameter, auxiliary nozzle diameter, discharge rate of the main nozzle, discharge rate of the auxiliary nozzle, operating pressure, wind speed, air temperature and relative humidity) were used as the input layer. In the second model (ANN2), 7 neurons (riser height, operating pressure, wind speed, air temperature and relative humidity, diameter ratio and discharge ratio) were used as the input layer. The third model (ANN3) used a multivariate technique (PC1, PC2, and PC3). Results revealed that the ANN3 model had the highest coefficient of determination (R2 = 0.8349). The R2 values for the ANN1 and ANN2 models were 0.7792 and 0.4807, respectively. It can be concluded that the ANN3 model has the highest predictive capacity.


2017 ◽  
Vol 67 (2) ◽  
pp. 222-232 ◽  
Author(s):  
E. Maroufpoor ◽  
H. Sanikhani ◽  
S. Emamgholizadeh ◽  
Ö. Kişi

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