Two-dimensional modeling of nitrate leaching for various fertigation scenarios under micro-irrigation

Gärdenäs, Annemieke I.; Hopmans, Jan W.; Hanson, Blaine R.; Šimůnek, Jirka

doi:10.1016/j.agwat.2004.11.011

Cited by 263 publications

(163 citation statements)

References 19 publications

Supporting

Mentioning

140

Contrasting

Unclassified

Order By: Relevance

“…0.5 cm). Similar values of these parameters have been used in other studies (Gärdenäs et al, 2005;Hanson et al, 2006).…”

Section: Nitrate Modellingmentioning

confidence: 56%

“…A similar observation was also made by Paramasivam et al (2002) and Alva et al (2006) in field experiments. Gärdenäs et al (2005) also concluded that fertigation applied towards the end of the irrigation cycle generally reduces the potential for nitrate leaching under micro-irrigation systems, with the exception of clayey soils. A short fertigation pulse (1-3 min) used in our study, as compared to the other studies, may have reduced differences among various scenarios.…”

Section: Scenario Analysismentioning

confidence: 99%

“…HYDRUS 2D/3D (Šimůnek et al, 2008, 2011) has been used extensively for evaluating the effects of soil hydraulic properties, soil layering, dripper discharge rates, irrigation frequency and quality, timing of nutrient applications on wetting patterns and solute distribution (e.g., Cote et al, 2003;Gärdenäs et al, 2005;Assouline et al, 2006;Hanson et al, 2006;Ajdary et al, 2007;Patel and Rajput, 2008;Šimůnek and Hopmans, 2009;Phogat et al, 2009Phogat et al, , 2010Phogat et al, , 2012Phogat et al, , 2013Li and Liu, 2011;Ramos et al, 2012) because it has the capability to analyse water flow and nutrient transport in multiple spatial dimensions (Cote et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree

Phogat

Skewes

Cox

et al. 2013

Agricultural Water Management

Self Cite

View full text Add to dashboard Cite

a b s t r a c tAdoption of high input irrigation management systems for South Australian horticultural crops seeks to provide greater control over timing of irrigation and fertilizer applications. The HYDRUS 2D/3D model was used to simulate water movement in the soil under an orange tree planted in a field lysimeter supplied with 68.6 mm of irrigation water over 29 days. Simulated volumetric water contents statistically matched those measured using a capacitance soil water probe. Statistical measures (MAE, RMSE, t cal ) indicating the correspondence between measured and simulated moisture content were within the acceptable range. The modelling efficiency (E) and the relative efficiency (RE) were in the satisfactory range, except RE at day 19. Simulated daily and cumulative drainage fluxes also matched measured values well. Cumulative drainage flux was 48.9% of applied water, indicating large water losses even under controlled water applications. High drainage losses were due to light texture of the soil and high rainfall (70 mm) during the experimental period. Simulated root water uptake was 40% of applied water.The calibrated HYDRUS model was also used to evaluate several scenarios involving nitrate fertigation. The numerical analysis of NO 3 -N dynamics showed that 25.5% of applied fertilizer was taken up by the orange tree within 15 days of fertigation commencement. The rest of the applied NO 3 -N (74.5%) remained in the soil, available for uptake, but was also vulnerable to leaching later in the growing season. The seasonal simulation revealed that NO 3 -N leaching accounted for 50.2% of nitrogen applied as fertilizer, and plant N recovery amounted to 42.1%. The scenario analysis further revealed that timing of a nitrogen application in an irrigation event had little impact on its uptake by citrus in the lysimeter. However, slightly higher NO 3 -N uptake efficiency occurred when fertigation was applied late in the daily irrigation schedule, or was spread out across all irrigation pulses, rather than being applied early or in the middle. Modelling also revealed that pulsing of irrigation had little impact on nitrate leaching and plant uptake. Applying less irrigation (50% or 75% of ET C ) resulted in higher nitrate uptake efficiency. This study showed that timing of water and fertilizer applications to an orange crop can be better regulated to enhance the efficiency of applied inputs under lysimeter conditions.

show abstract

“…0.5 cm). Similar values of these parameters have been used in other studies (Gärdenäs et al, 2005;Hanson et al, 2006).…”

Section: Nitrate Modellingmentioning

confidence: 56%

Section: Scenario Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree

Phogat

Skewes

Cox

et al. 2013

Agricultural Water Management

Self Cite

View full text Add to dashboard Cite

show abstract

“…This has resulted in pressure to improve the present traditional agricultural practices, especially in irrigation strategies to reduce the amount of nitrogen entering our water systems [2]. The quality of soils, surface and ground water resources is always at risk in areas where agricultural production is dominated by irrigation such as North China and many other arid and semiarid regions [3,4].…”

Section: Introductionmentioning

confidence: 99%

Effects of Different Irrigation Strategies on Soil Water, Salt, and Nitrate Nitrogen Transport

Zeng

et al. 2015

Ecological Chemistry and Engineering S

View full text Add to dashboard Cite

Abstract:Intermittent irrigation has attracted much attention as a water-saving technology in arid and semi-arid regions. For understanding the effect of intermittent irrigation on water and solute storage varied from irrigation amount per time (IRA), irrigation application frequency (IRAF), irrigation intervals (IRI) and even soil texture (ST), intermittent irrigation experiment was carried out in 33 micro-plots in Inner Mongolia, China. The experiment results were used for the calibration and validation of HYDRUS-1D software. Then 3 ST (silty clay loam, silty loam, and silty clay), 5 IRA (2, 4, 6, 8, and 10 cm), 4 IRAF (2, 3, 4, and 5 times) and 4 IRI (1, 2, 3, and 4 days) were combined and total 240 scenarios were simulated by HYDRUS-1D. Analysis of variance (ANVOA) of simulated results indicated that ST, IRA, and IRAF had significant effect on salt and nitrate nitrogen (NO3 --N) storage of 0-40 cm depth soil in intermittent irrigation while only ST affected soil water storage obviously. Furthermore, salt leaching percentage (SLP) and water use efficiency (WUE) of 0-40 cm depth were calculated and statistical prediction models for SLP were established based on the ANOVA using multiple regression analysis in each soil texture. Then constraint conditions of soil water storage (around field capacity), salt storage (smaller than 168 mg·cm -2 ), WUE (as large as possible) in 0-40 cm depth and total irrigation water amount (less than 25 cm) were proposed to find out the optimal intermittent irrigation strategies. Before sowing, the optimal irrigation strategy for silty clay loam soil was 6 cm IRA, 3 times IRAF, and 2 days IRI respectively. For silty loam and silty clay soils, IRA, IRAF, and IRI were 8 cm, 3 times, and 2 days respectively.

show abstract

“…Yet, few computer simulation models, with the exception of HYDRUS (2D/3D) (Šimůnek et al 2012), have the capability to analyze water flow and nutrient transport in multiple spatial dimensions. The HYDRUS model has been extensively used for simulating water flow and solute transport in a variety of soil geometries, irrigation systems, and fertigation strategies for different crops [e.g., Cote et al (2003), Gärdenäs et al (2005), Hanson et al (2006), Crevoisier et al (2008), andSiyal et al (2012)]. Notably, HYDRUS (2D/3D) has also proven to be an effective tool in improving our understanding of the soil-plant-atmosphere water relations in irrigated orchards of southern New Mexico (Deb et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Numerical Evaluation of Nitrate Distributions in the Onion Root Zone under Conventional Furrow Fertigation

et al. 2016

View full text Add to dashboard Cite

HYDRUS (2D/3D) model was used to simulate spatial and temporal distributions of nitrate-nitrogen (NO 3 -N) within and below the onion root zone under conventional furrow fertigation with the urea-ammonium-nitrate (UAN) liquid fertilizer. The simulated water contents in the furrow irrigated onion field agreed well with the measurements. Simulations produced similar patterns of the measured NO 3 -N concentration profiles throughout the growing season. NO 3 -N concentrations remained higher and accumulation of NO 3 -N was observed within the root zone. Higher NO 3 -N within the root zone was dependent on the rate of the UAN fertilizer application, quantity of NO 3 -N removed by root uptake, and NO 3 -N drainage fluxes below the root zone. Simulations also suggested that NO 3 -N below the root zone during different growth stages remained much higher than a recommended (for drinking water) standard concentration level (10 mg L −1 ). This resulted in higher NO 3 -N drainage fluxes, particularly during the fertigation events between the establishment and vegetative growth stages. This indicates the need to apply most fertigation events at an early stage of bulb formation to provide the maximum NO 3 -N demands by onions and to reduce potential NO 3 -N leaching.

show abstract

Two-dimensional modeling of nitrate leaching for various fertigation scenarios under micro-irrigation

Cited by 263 publications

References 19 publications

Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree

Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree

Effects of Different Irrigation Strategies on Soil Water, Salt, and Nitrate Nitrogen Transport

Numerical Evaluation of Nitrate Distributions in the Onion Root Zone under Conventional Furrow Fertigation

Contact Info

Product

Resources

About