Modelling of nitrogen leaching from experimental onion field under drip fertigation

Ajdary, Khalil; Singh, Deepika; Singh, Anil Kumar; Khanna, Manoj

doi:10.1016/j.agwat.2006.12.014

Cited by 125 publications

(79 citation statements)

References 19 publications

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“…Other studies have also reported good performance of this software for various soil, water, and crop conditions under pressurised irrigation systems (e.g., Assouline et al, 2006;Ajdary et al, 2007;Patel and Rajput, 2008;Phogat et al, 2012Phogat et al, , 2013Ramos et al, 2012).…”

Section: Soil Water Distribution and Water Balancementioning

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%

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

Phogat

Skewes

Cox

et al. 2013

Agricultural Water Management

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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.

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Section: Soil Water Distribution and Water Balancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Phogat

Skewes

Cox

et al. 2013

Agricultural Water Management

View full text Add to dashboard Cite

show abstract

“…Fertigation strategies, especially in fine textured soils, did not significantly affect nitrogen leaching (Ajdary et al 2007). …”

Section: Gleams (Groundwater Loading Effects Of Agricultural Managemementioning

confidence: 99%

“…Solute transport is modeled using the advection-dispersion equation, which is added to the nutrient uptake parameter.In this case solute transport is mainly physical transport and is mostly related to soil properties and emitter discharge rates. It should be noted that mineralization gains and denitrification losses were neglected (Ajdary et al 2007). …”

Section: Gleams (Groundwater Loading Effects Of Agricultural Managemementioning

confidence: 99%

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Planning and management modeling for treated wastewater usage

Ahmadi

Merkley

2009

Irrig Drainage Syst

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Two computational models, including several calculation and analysis submodels, were developed to create a tool for assessing the impact of different treated wastewater reuse options on irrigated agriculture. The models consider various aspects of treated wastewater availability (past, present, and future), wastewater quality, agricultural water demand, and the economics of conveying wastewater from treatment plants to farms. The two models were implemented using Visual BASIC.NET in a GIS environment to facilitate visualization of some of the features of an area under study, and to provide a convenient interface for user application. One of the models is for treated wastewater availability calculations, and the other is for wastewater reuse.The water availability model has sub-models including urban population predictions, agricultural land use changes, residential water demand, agricultural water demand (evapotranspiration) for over 40 crop types, and treated wastewater analysis.The water reuse model is composed of three sub-models, including soil water and salt iii balance calculations, nutrient calculations, and pumping and conveyance costs calculations. The nutrient calculationssub-model is based on an existing model, but was completely rewritten and modified in some parts to accommodate the needs and features of the water reuse model presented herein.A sample application of the models is presented for Cache Valley, Utah. The results show a comparison of treated wastewater reuse schemes for the study area, highlighting how irrigated agriculture would best benefit from the total or partial use of treated wastewater. Two wastewater reuse scenarios were considered. The water availability model shows good agreement with other sources of information in terms of population forecast and calculation of future residential and agricultural water demand.However, according to the results from the model, the rate of increase of the urban area was much higher than the rate of decrease of the agricultural areas between the years 1992 and 2001.The future population growth and water demand increases for urban areas was calculated and validated for Logan City. Also, in the case studythe model was shown to be a good tool for wastewater influent analysis for Logan City. Both of the models were successfully developed, tested, and validated (for a case study in Utah) as part of this research.

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Water flow and multicomponent solute transport in drip‐irrigated lysimeters

Raij

Šimůnek

Ben‐Gal

et al. 2016

Water Resources Research

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Controlled experiments and modeling are crucial components in the evaluation of the fate of water and solutes in environmental and agricultural research. Lysimeters are commonly used to determine water and solute balances and assist in making sustainable decisions with respect to soil reclamation, fertilization, or irrigation with low‐quality water. While models are cost‐effective tools for estimating and preventing environmental damage by agricultural activities, their value is highly dependent on the accuracy of their parameterization, often determined by calibration. The main objective of this study was to use measured major ion concentrations collected from drip‐irrigated lysimeters to calibrate the variably saturated water flow model HYDRUS (2D/3D) coupled with the reactive transport model UNSATCHEM. Irrigation alternated between desalinated and brackish waters. Lysimeter drainage and soil solution samples were collected for chemical analysis and used to calibrate the model. A second objective was to demonstrate the potential use of the calibrated model to evaluate lower boundary design options of lysimeters with respect to leaching fractions determined using drainage water fluxes, chloride concentrations, and overall salinity of drainage water, and exchangeable sodium percentage (ESP) in the profile. The model showed that, in the long term, leaching fractions calculated with electrical conductivity values would be affected by the lower boundary condition pressure head, while those calculated with chloride concentrations and water fluxes would not be affected. In addition, clear dissimilarities in ESP profiles were found between lysimeters with different lower boundary conditions, suggesting a potential influence on hydraulic conductivities and flow patterns.

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Modelling of nitrogen leaching from experimental onion field under drip fertigation

Cited by 125 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

Planning and management modeling for treated wastewater usage

Water flow and multicomponent solute transport in drip‐irrigated lysimeters

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