Estimation of Wind Drift and Evaporation Losses from Sprinkler Irrigation systemS by Different Data-Driven Methods

2017 ◽  
Vol 67 (2) ◽  
pp. 222-232 ◽  
Author(s):  
E. Maroufpoor ◽  
H. Sanikhani ◽  
S. Emamgholizadeh ◽  
Ö. Kişi
Keyword(s):  
Sprinkler Irrigation ◽  
Data Driven ◽  
Irrigation Systems ◽  
Wind Drift ◽  
Evaporation Losses

scholarly journals Prediction of wind drift and evaporation losses of a sprinkler irrigation system using principal component analysis and artificial neural network technique

Water SA ◽  
2018 ◽  
Vol 44 (3 July) ◽  
Author(s):  
Samy A Marey ◽  
Mohamed SA El Marazky ◽  
Abdulwahed M Aboukarima
Keyword(s):  
Field Experiments ◽  
Irrigation System ◽  
Discharge Rate ◽  
Principal Component ◽  
Sprinkler Irrigation ◽  
Operating Pressure ◽  
Wind Drift ◽  
Evaporation Losses ◽  
Input Layer ◽  
Riser Height

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.

scholarly journals Novel approach to evaluate the dynamic variation of wind drift and evaporation losses under moving irrigation systems

2015 ◽  
Vol 135 ◽  
pp. 44-53 ◽  
Author(s):  
Sayed-Hossein Sadeghi ◽  
Troy R. Peters ◽  
Mohammad Z. Amini ◽  
Sparkle L. Malone ◽  
Hank W. Loescher
Keyword(s):  
Irrigation Systems ◽  
Wind Drift ◽  
Dynamic Variation ◽  
Novel Approach ◽  
Evaporation Losses

Evaporation Losses from Sprinkler Irrigation Systems under Various Operating Conditions

2009 ◽  
Vol 9 (3) ◽  
pp. 597-600 ◽  
Author(s):  
A. Bavi ◽  
H. A. Kashkul ◽  
S. Boroomand ◽  
A. Naseri ◽  
M. Albaji
Keyword(s):  
Sprinkler Irrigation ◽  
Operating Conditions ◽  
Irrigation Systems ◽  
Evaporation Losses

scholarly journals Modeling wind drift and evaporation losses during sprinkler irrigation in arid areas (case of Touggourt - Algeria)

2022 ◽  
Author(s):  
Sofiane Gheriani ◽  
Noureddine MEZA ◽  
Djamel BOUTOUTAOU
Keyword(s):  
Mean Squared Error ◽  
Sprinkler Irrigation ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Coefficient Of Determination ◽  
Irrigation Performance ◽  
Water Losses ◽  
Wind Drift ◽  
Evaporation Losses ◽  
Complex Indicators

Abstract In recent years, agriculture development in South-eastern Algeria progressed rapidly which increased the demand for agricultural products. Given that this region is characterized by hard agro-climatic conditions, irrigation seems to be a necessary factor for ensuring optimal development and high agricultural production. Like many irrigation technics widely used, sprinkler irrigation performance was considerably affected by these conditions, mainly evaporation, which causes water losses. This study aims to propose an adequate mathematical model predicting wind drift and evaporation losses under different weather conditions resume by the complex indicator of climatic intensity (ɸ). Results showed that complex indicators of climatic intensity, were significant factors affecting the wind drift and evaporation losses, puissance relationship between wind drift and evaporation losses, and complex indicators of climatic intensity, obtained model are adopted can be useful tools in the determination of the overall losses in terms of environmental conditions (air temperature, relative humidity, and wind speed). Totally 25 measure samples were used for training the model, and 15 measure samples for testing and validation of the model. The developed model for the WDEL modeling shows high good performance with a coefficient of determination (R2) = 0.808, mean squared error (RMSE) = 3.39%, and Mean Absolute Error MAE = 8.41%.

Estimation of wind drift and evaporation losses in sprinkler irrigation of urban green spaces

2018 ◽  
Vol 14 (1) ◽  
pp. 77-96
Author(s):  
M. Naderianfar ◽  
A. Faryabi ◽  
H. Dehghan
Keyword(s):  
Irrigation System ◽  
Water Pressure ◽  
Sprinkler Irrigation ◽  
Accurate Estimation ◽  
Atmospheric Conditions ◽  
Wind Drift ◽  
Aperture Diameter ◽  
Urban Green Spaces ◽  
Significant Difference ◽  
Evaporation Losses

The wind drift and evaporation losses (WDEL) are high in arid, semi-arid and windward areas, and reduce the efficiency of the sprinkler irrigation system; therefore, this study was carried out in order to achieve a practical criterion and provide a relationship for accurate estimation of the wind drift and evaporation losses in different atmospheric conditions. The experiments were done at the Meteorological Station of the Faculty of Agriculture of Ferdowsi University of Mashhad using a line-source sprinkler irrigation system based on the single sprinkler installation method. To achieve the objectives of this plan, factorial experiment was performed on PGP sprinkler with regard to the two factors, the pressure of the sprinkler function (with three levels 1.6, 2.5 and 3.4 bar) and the diameter of the nozzle (with three levels of 4, 5 and 6 mm) with three replications (morning, noon and night). Assessing the result of the data variance analysis showed that the effects of pressure, aperture diameter, and time on the wind drift and evaporation losses are not significant. Investigating the main effects of these factors showed that the effect of aperture diameter on irrigation losses is significant at the level of the 1%. In order to further investigate, the comparison of mean losses data in three aperture diameter was done using Duncan′s test. The results indicated that aperture 4 with the losses of 44% had a significant difference with other diameters. This result suggests an increase in losses for smaller diameters due to the small droplets and the increase in wind drift. Also, the comparison of the mean losses data in three times showed that irrigation at noon with the losses of 44% had a significant difference compared to other times due to a significant increase in temperature and radiation of the sun and saturation vapor pressure deficit, and there is no significant difference between morning and evening irrigation. Also, analysis of variance showed that the effect of water pressure change between 1.6 and 4.3 bar does not have a significant effect on the WDEL in this sprinkler. In general, the results showed that increasing wind speed increases the losses of evaporation and wind. Also, this study suggested that changing the irrigation time in areas with hot and dry days, from day to night in summer, leads to a significant reduction of the wind drift and evaporation losses.

Prediction of wind drift and evaporation losses from sprinkler irrigation using neural network and multiple regression techniques

2018 ◽  
Vol 195 ◽  
pp. 211-221 ◽  
Author(s):  
Hussein M. Al-Ghobari ◽  
Mohamed S. El-Marazky ◽  
Ahmed Z. Dewidar ◽  
Mohamed A. Mattar
Keyword(s):  
Neural Network ◽  
Multiple Regression ◽  
Sprinkler Irrigation ◽  
Wind Drift ◽  
Evaporation Losses ◽  
Regression Techniques
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