Experimental and numerical investigations for optimal emitter spacing in drip irrigation

Ghumman, Abdul Razzaq; Iqbal, Muhammad Munwar; Ahmed, Sajjad; Hashmi, Hashim Nisar

doi:10.1002/ird.2284

Cited by 17 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For loam and silty loam, the maximum moisture content remains constant at 0.430 cm 3 cm −3 , and 0.450 cm 3 cm −3 respectively (Figure 3b,c). That means the emitter discharge effect is significant only for the coarse-textured soil [33] and the high discharge (2.0 L h −1 ) is more suitable for the shallow-rooted crops [34].…”

Section: Soil Moisture Content Distributionmentioning

confidence: 99%

Evaluation of Root Water Uptake and Urea Fertigation Distribution under Subsurface Drip Irrigation

Eltarabily

Bali

Negm

et al. 2019

Water

View full text Add to dashboard Cite

Shallow groundwater contamination by nitrate is frequent in agricultural lands in Egypt because of the use of urea fertilizers. The urea transformation process in the vadose zone was simulated using a HYDRUS-2D model, Software package for simulations of 2D movement of water, heat, and multiple solutes in variably saturated media, for subsurface drip irrigation. The root water and nutrient uptake were assessed for three soil types (sandy loam, loam, and silty loam) with three emitter discharge levels (1.0 L h−1, 1.50 L h−1, and 2.0 L h−1), for a comparison of three fertigation strategies (A) at the beginning, (B) at the end, and (C) at the middle of the irrigation cycle. The extension of the wetted area mainly depends on soil hydraulic conductivity. The high emitter discharge with a short irrigation time is suitable for shallow-rooted crops. The cumulative flux was highest for silty loam soil and the lowest was for the sandy loam soil (1891, and 1824 cm3) for the 2 L h−1 emitter discharge within the 35 days simulation. The cumulative drainage significantly differs among soil types with little effect of emitter discharge. It recorded 1213, 295, 11.9 cm3 for sandy loam, loam, silty loam, respectively. Urea transformation is controlled by hydrolysis and nitrification as well as the adsorption coefficient of ammonium. Nitrate distribution is mainly governed by soil type rather than the emitter discharge where the sandy loam soil is more highly susceptible to nitrate leaching than to silty loam. Nitrate concentration has recorded the minimum possible level when applying the urea fertilizer at the beginning of the irrigation event for sandy loam and loam soil while for the silty loam soil, urea application at the middle of the irrigation event is more effective. Urea application at the end of the irrigation event gives the highest accumulated leached nitrate concentration below the root zone and should be avoided (the worst strategy).

show abstract

Section: Soil Moisture Content Distributionmentioning

confidence: 99%

Evaluation of Root Water Uptake and Urea Fertigation Distribution under Subsurface Drip Irrigation

Eltarabily

Bali

Negm

et al. 2019

Water

View full text Add to dashboard Cite

show abstract

“…Various types of models, including analytical, numerical, empirical, and statistical approaches, have been developed to forecast the wetting zone dimensions in surface drip irrigation systems originating from a point source [12,13], Analytical and numerical models typically involve solving the governing flow equations with specific initial and boundary conditions. On the other hand, empirical models are constructed by conducting regression analyses on field measurements [14]. Numerous empirical approaches have been put forward in the existing literature to estimate the distance of the wetting front from a surface dripper.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Drip Irrigation Efficiency through Novel Statistical Modeling of Wetting Patterns in Water-Scarce Agriculture

Pal,

Arunadevi,

Pazhanivelan

et al. 2023

IJPSS

View full text Add to dashboard Cite

Drip irrigation is a critical solution for agricultural water scarcity, especially in water-scarce regions. This study introduces innovative statistical models to estimate essential wetting patterns in clay loam soil for optimizing drip irrigation systems. Using a drip system with a 45 cm emitter spacing and a 4 litre per hour discharge rate, operational durations from 10 to 140 minutes were examined. Statistical models (Exponential, Linear, Logarithmic, Polynomial, and Power) were developed to predict vertical and horizontal water movement. The results highlight the Logarithmic model's excellence in predicting vertical water movement, with a remarkable Coefficient of Correlation (CC) 0.98 cm and Root Mean Square Error (RMSE) 0.76 cm, while the Polynomial model is best for horizontal movement with a CC 0.98 cm, and RMSE 1.25 cm respectively. Importantly, these models can be applied to generate artificial data for both horizontal and vertical water movements under unchanged conditions when no observable wetting pattern is present.

show abstract

“…The importance of soil water infiltration has been emphasized in many disciplines, including hydrologic studies, hydrogeology, drainage systems, agricultural water management and irrigation system design and modeling [10,11]. In particular, infiltration processes have received considerable attention in surface irrigation modeling studies [12].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Sowing Density Impact on Water Front Advancement and Infiltration in Furrow Irrigation

et al. 2023

View full text Add to dashboard Cite

This research aims to evaluate the impact of durum-wheat sowing density on wetting front advancement and water infiltration rate along the furrow length. In addition, durum wheat yield and furrow irrigation performance under the different sowing densities were assessed. For that purpose, a field experiment was conducted under semi-arid conditions in Tunisia using four durum-wheat sowing densities: SD1 (250 seeds m−2), SD2 (350 seeds m−2), SD3 (450 seeds m−2) and SD0 (bare soil). The results reveal that water front advancement tends to be inversely proportional to sowing density. In fact, under the SD3 treatment, both irrigation duration and applied water volume increased about twofold compared to those recorded under SD0, resulting in an increasing soil infiltration rate. Furthermore, the two-point method performed well in estimating water front advancement, with an R2 value close to 1. Regarding durum wheat yield, values varied between 35 and 49 q ha−1 with the highest value attributed to the SD3 treatment. Meanwhile, higher irrigation water productivity was recorded under SD1. Considering irrigation performance indicators, the results indicate that distribution uniformity (DU) increases with increasing sowing density. Moreover, the lowest application efficiency values (75%) were recorded under the SD0 and SD3 treatments as compared to 82% for SD2 and 80% for SD1.

show abstract

Experimental and numerical investigations for optimal emitter spacing in drip irrigation

Cited by 17 publications

References 25 publications

Evaluation of Root Water Uptake and Urea Fertigation Distribution under Subsurface Drip Irrigation

Evaluation of Root Water Uptake and Urea Fertigation Distribution under Subsurface Drip Irrigation

Enhancing Drip Irrigation Efficiency through Novel Statistical Modeling of Wetting Patterns in Water-Scarce Agriculture

Assessment of Sowing Density Impact on Water Front Advancement and Infiltration in Furrow Irrigation

Contact Info

Product

Resources

About