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

Maroufpoor, Eisa; Hadi, Syamsul; Emamgholizadeh, Samad; Kişi, Özgür

doi:10.1002/ird.2182

Cited by 34 publications

(8 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Evaporation losses depend on the relative humidity, wind speed, ambient temperature, emitter working pressure, emitter installation height fromthe soil surface, and droplet diameter. Wind drift, on the other hand, depend mainly on wind speed, droplet diameter, and the distance traveled by droplets until they reach the shoot of crops or soil surface (Maroufpoor et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Predictive Models of Water Application and Distribution Efficiency in Conventional Sprinkling

et al. 2020

View full text Add to dashboard Cite

Correct determinations of distribution (Ed) and application (EA) efficiencies allow adequate estimations of the gross irrigation depth. This study aimed: i) to determine the distribution efficiency using the Christiansen uniformity coefficient (CUC) in a sprinkler irrigation system under different weather conditions and working pressures; ii) to compare the mean, median, and cumulative CUC values; and iii) to evaluate the predictive capacity of four EA estimation models.CUC values were determined from 80 assessments, as well as the mean, median, and cumulative. The precipitated water depth accumulated in each collector was considered for the accumulated CUC. More uniform evaluations were used for EA (working pressure of 196 kPa), resulting in 20 samples. Besides being measured, EA was estimated by Keller & Bliesner, Playán, Tarjuelo, and Beskow methods. Statistical indicators were the root mean square error, mean bias error, Willmott agreement index, mean absolute error, and Pearson correlation coefficient.CUC values ranged from 66.51 to 92.04%, and the accumulated CUC provided an improvement over the isolated evaluations. The Beskow model had the best EA estimations in conventional spraying.

show abstract

Section: Introductionmentioning

confidence: 99%

Predictive Models of Water Application and Distribution Efficiency in Conventional Sprinkling

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Mean absolute error (MAE), mean squared error (RMSE) determined by Maroufpoor et al (2018), and coefficient of determination (R 2 ) defined by Yasar et al (2012) were used to see the convergence between the observed and the expected values:…”

Section: Performance Evaluation Criteriamentioning

confidence: 99%

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

Sofiane

Meza

Boutoutaou

2022

Preprint

View full text Add to dashboard Cite

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%.

show abstract

“…Solar pumps also offered clean solutions with no danger of borehole contamination. Maroufpoor et al [7] recommended three artificial intelligence methods such as Artificial Neural Network (ANN), Adaptive Neuro-fuzzy Inference Systems (ANFIS) and Gene Expression Programming (GEP) for estimating wind drift and evaporation losses from sprinkler irrigation systems. According to the authors, Gene Expression Programming method provided the best result.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Method for Smart Irrigation System

Anitha*¹,

Stephen*²,

Arockiam*³

2019

IJRTE

View full text Add to dashboard Cite

Abstract: Internet of Things (IoT) is a boon to the technological developments during the past decade. Though the adoption of this technology in agriculture has gone up immensely in recent years, the implementation of the smart irrigation system remains its initial stage in this agricultural setup. The sprinkler or dripper irrigation methods are widely used in the smart irrigation environment. In this paper a hybrid method is proposed to select the irrigation method automatically based on the climate changes and soil moisture level. By enhancing this method using the rapid growing technologies and IoT enabled smart irrigation controllers, the agriculture sector will be improved over the foreseeable future.

show abstract

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

Cited by 34 publications

References 31 publications

Predictive Models of Water Application and Distribution Efficiency in Conventional Sprinkling

Predictive Models of Water Application and Distribution Efficiency in Conventional Sprinkling

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

A Hybrid Method for Smart Irrigation System

Contact Info

Product

Resources

About