Effect of Combination Factors of Operating Pressure, Nozzle Diameter and Riser Height on Sprinkler Irrigation Uniformity

Osman, Manal; Hassan, Suhaimi; Yusof, Khamaruzaman B. Wan

doi:10.4028/www.scientific.net/amm.695.380

Cited by 8 publications

(7 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These findings were in good agreement with the results reported by Hui et al (2021a), who found that although the nozzle diameter had a certain effect on the maximum shear stress, the overall effect was insignificant. In addition to droplet shear stress, kinetic energy and specific power of low-pressure sprinkler were also found to be insignificantly affected (P>0.05) by operating pressure and nozzle diameter (Hui et al, 2022b), but this result was not supported by Bautista-Capetillo et al ( 2012) on a VYR35 sprinkler and Osman et al (2015) on a double nozzle impact sprinkler. One possible explanation is that their studies were conducted based on medium-and high-pressure sprinklers such as impact sprinklers.…”

Section: Effect Of Various Factors On the Distribution Of Droplet She...mentioning

confidence: 78%

Non-negligible factors in low-pressure sprinkler irrigation: droplet impact angle and shear stress

et al. 2022

View full text Add to dashboard Cite

Droplet shear stress is considered as an important indicator that reflects soil erosion in sprinkler irrigation more accurately than kinetic energy, and the effect of droplet impact angle on the shear stress cannot be ignored. In this study, radial distribution of droplet impact angles, velocities, and shear stresses were investigated using a two-dimensional video disdrometer with three types of low-pressure sprinkler (Nelson D3000, R3000, and Komet KPT) under two operating pressures (103 and 138 kPa) and three nozzle diameters (3.97, 5.95, and 7.94 mm). Furthermore, the relationships among these characteristical parameters of droplet were analyzed, and their influencing factors were comprehensively evaluated. For various types of sprinkler, operating pressures, and nozzle diameters, the smaller impact angles and larger velocities of droplets were found to occur closer to the sprinkler, resulting in relatively low droplet shear stresses. The increase in distance from the sprinkler caused the droplet impact angle to decrease and velocity to increase, which contributed to a significant increase in the shear stress that reached the peak value at the end of the jet. Therefore, the end of the jet was the most prone to soil erosion in the radial direction, and the soil erosion in sprinkler irrigation could not only be attributed to the droplet kinetic energy, but also needed to be combined with the analysis of its shear stress. Through comparing the radial distributions of average droplet shear stresses among the three types of sprinklers, D3000 exhibited the largest value (26.94-3313.51 N/m 2 ), followed by R3000 (33.34-2650.80 N/m 2 ), and KPT (16.15-2485.69 N/m 2 ). From the perspective of minimizing the risk of soil erosion, KPT sprinkler was more suitable for low-pressure sprinkler irrigation than D3000 and R3000 sprinklers. In addition to selecting the appropriate sprinkler type to reduce the droplet shear stress, a suitable sprinkler spacing could also provide acceptable results, because the distance from the sprinkler exhibited a highly significant (P<0.01) effect on the shear stress. This study results provide a new reference for the design of low-pressure sprinkler irrigation system.

show abstract

Section: Effect Of Various Factors On the Distribution Of Droplet She...mentioning

confidence: 78%

Non-negligible factors in low-pressure sprinkler irrigation: droplet impact angle and shear stress

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Many studies have informed that the heterogeneity in water distribution has a negative impacts on the efficiency of water management 1 . Furthermore, the pressurized irrigation systems such as drip and sprinkler irrigation have become more efficient and feasible to apply to increase the water use efficiency 4 , 5 .…”

Section: Introductionmentioning

confidence: 99%

Prediction of water distribution uniformity of sprinkler irrigation system based on machine learning algorithms

Elhussiny,

Hassan,

Habssa

et al. 2023

Sci Rep

View full text Add to dashboard Cite

The coefficients of uniformity Christiansen's uniformity coefficient (CU) and distribution uniformity (DU) are an important parameter for designing irrigation systems, and are an accurate measure for water lose. In this study, three machine learning algorithms Random forest (RF), extreme gradient boosting (XGB) and random forest-extreme gradient boosting (XGB-RF) were developed to predict the water distribution uniformity based on operating pressure, heights of sprinkler, discharge, nozzle diameter, wind speed, humidity, highest and lowest temperature for three different impact sprinklers (KA-4, FOX and 2520) for square and triangular system layout based on four scenarios (input combinations). The main findings were; the highest CU value was 86.7% in the square system of 2520 sprinkler under 200 kPa, 0.5 m height and 0.855 m3/h (Nozzle 2.5 mm). Meanwhile, in the triangular system, it was 87.3% under the same pressure and discharge and 1 m height. For applied machine learning, the highest values of R2 were 0.796, 0.825 and 0.929 in RF, XGB and XGB-RF respectively in the first scenario for CU. Moreover, for the DU, the highest values of R2 were 0.701, 0.479 and 0.826 in RF, XGB and XGB-RF respectively in the first scenario. The obtained results revealed that the sprinkler height had the lowest impact on modeling of the water distribution uniformity.

show abstract

“…Keller and Bliesner (1990) (Tarjuelo et al, 1999a). Low values of CU indicate incorrect combination of nozzle size, operating pressure, and other design factors (Salmerón et al, 2012;Siosemarde et al, 2012;Osman et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Investigation of Water Distribution Characteristics for Large Cannon Irrigation Sprinkler under different Spacing and Layouts

Issaka¹,

ISSAH²,

YAMBA³

2018

GJSETR

View full text Add to dashboard Cite

Relevant factors affecting the irrigation performance of large cannon sprinkler include the nozzle diameter, operating pressure, layout form, and overlapping distance, which were studied under no wind conditions. The discharge coefficient ranged from 0.96 to 0.99. A mathematical model of radius of throw was regressed and the coefficient of determination was 0.9765. The application rate was lower near the sprinkler, and the highest value occurred under the radius of throw from 4 to 6 m for each water distribution pattern. The average application rate decreased with increase in operating pressure. The average application rate increased with the increase in nozzle diameter. The increased or decreased in magnitude of average application rate under small nozzle diameter was larger than the large nozzle diameter for the same range pressure variations. The maximum CU values increased with increase in pressure under different nozzle diameter or different layouts. Triangular layout gave higher uniformities compared with square layout. The optimal CU values and spacing coefficients of large cannon sprinkler with different layouts, pressure and nozzle diameter were proposed.

show abstract

Effect of Combination Factors of Operating Pressure, Nozzle Diameter and Riser Height on Sprinkler Irrigation Uniformity

Cited by 8 publications

References 11 publications

Non-negligible factors in low-pressure sprinkler irrigation: droplet impact angle and shear stress

Non-negligible factors in low-pressure sprinkler irrigation: droplet impact angle and shear stress

Prediction of water distribution uniformity of sprinkler irrigation system based on machine learning algorithms

Investigation of Water Distribution Characteristics for Large Cannon Irrigation Sprinkler under different Spacing and Layouts

Contact Info

Product

Resources

About