Comparison of One- and Two-Dimensional Models to Simulate Alternate and Conventional Furrow Fertigation

Ebrahimian, Hamed; Liaghat, Abdolmajid; Parsinejad, Masoud; Abbasi, Fariborz; Navabian, Maryam

doi:10.1061/(asce)ir.1943-4774.0000482

Cited by 25 publications

(19 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most soil water models use the one-dimensional approach (Zerihun et al, 2005a;Navabian et al, 2010). Ebrahimian et al (2012a) used a two-dimensional soil water model, and reported on its comparative advantages. Two-dimensional soil modelling (one vertical dimension and one horizontal cross-sectional dimension) is particularly important for alternate furrow irrigation, where lateral infiltration is stronger than in conventional furrow irrigation.…”

Section: Research Gaps and Needsmentioning

confidence: 99%

Surface fertigation: a review, gaps and needs

Ebrahimian

Keshavarz

Playán

2014

Span. j. agric. res.

Self Cite

View full text Add to dashboard Cite

Surface fertigation is a common choice when it comes to applying fertilizers in surface irrigated crops. The inherent complexity of the concepts and equations governing surface fertigation has made this technique a challenging research issue in the past decades. A number of researchers have used field experiments and/or modelling results to develop recommendations aiming at improving surface fertigation management. In this paper, these recommendations are reviewed and classified considering the particular type of surface irrigation system. Key factors affecting surface fertigation performance, such as the inflow hydrograph, soil and water quality, effective root depth for fertilizer uptake and the specific surface irrigation method are discussed. The history of surface fertigation modelling is reviewed, introducing key developments, accomplishments and open issues. Finally, current research gaps and needs are identified and discussed, such as the coupling of two-dimensional surface and subsurface simulation models or the use of performance optimization approaches. Research gaps require an intensification of modelling and/or experimental efforts.Additional key words: fertilizers; inflow hydrograph; modelling; soil and water quality; effective root depth.

show abstract

Section: Research Gaps and Needsmentioning

confidence: 99%

Surface fertigation: a review, gaps and needs

Ebrahimian

Keshavarz

Playán

2014

Span. j. agric. res.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The results indicated that full hydrodynamic and zero inertia models had better performance in the simulation process. The effects of irrigation water qualities and sodium adsorption ratio (SAR) in furrow irrigation demonstrated that at the end of the irrigation season, the final intake rates decreased significantly in a clay loam soil (Emdad et al, ). Choudhary et al .…”

Section: Introductionmentioning

confidence: 99%

“…Various studies have reported that the infiltration equation is affected by initial soil water content and irrigation water quality (Amézketa et al, ; Nie et al, ; de Almeida et al, ). In many cases, the infiltration equation is assumed constant during the irrigation season, while the soil water content is changing throughout the season (Hunsaker et al, ; Emdad et al, ). Accordingly, during the irrigation season, application of the constant infiltration equation reduces the performance of surface irrigation (Khatri and Smith, ).…”

Section: Introductionmentioning

confidence: 99%

Effect of Initial Soil Water Content on Output Parameters of Sirmod Software Under Types of Different Irrigation Management

Javadi

Mostafazadeh‐Fard

Shayannejad

et al. 2019

Irrigation and Drainage

Self Cite

View full text Add to dashboard Cite

The main objective of this study was to investigate the sensitivity of the output parameters of SIRMOD software relative to initial soil water content. The treatments consisted of three irrigation water qualities, two types of soil water content management (FC and 30% FC; FC is field capacity) and three irrigation events. The HYDRUS‐1D software was calibrated to simulate infiltration under different initial soil water contents. Subsequently, the infiltration coefficients obtained from the HYDRUS model were used to simulate the border irrigation system under the different border lengths and inflow rates using the SIRMOD software. The results showed that soil was more permeable under FC management than under 30% FC. The sensitivity of the output parameters of the SIRMOD software under FC was more sensitive compared to 30% FC. The high‐ and low‐sensitive treatments were in the FC and 30% FC management with high saline‐sodic water, respectively. Due to the high permeability under FC, in order to increase the irrigation application efficiency and reduce its sensitivity, the inflow rate should be greater while border length has to be less, compared to 30% FC. Sensitivity analysis of the output parameters showed that the advance time and tailwater fraction were identified as the most and least sensitive parameters, respectively. © 2019 John Wiley & Sons, Ltd.

show abstract

“…The HYDRUS (2D/3D) model and its predecessors, such as SWMS-2D and HYDRUS-2D, have been widely used in the past to simulate water flow and/or solute transport for furrow irrigation systems (e.g., Benjamin et al 1994;Abbasi et al 2003aAbbasi et al , b, 2004Rocha et al 2006;Wöhling et al 2004aWöhling et al , b, 2006Mailhol et al 2007;Warrick et al 2007;Wöhling and Schmitz 2007;Wöhling and Mailhol 2007;Crevoisier et al 2008;Lazarovitch et al 2009;Ebrahimian et al 2012Ebrahimian et al , 2013aZerihun et al 2014). For example, Benjamin et al (1994) simulated fertilizer distribution in the soil under broadcast fertilization for conventional and alternate furrow irrigation.…”

Section: Introductionmentioning

confidence: 99%

“…This model was then used to adequately predict advance and recession times, soil moisture and crop yield (Wöhling and Mailhol 2007). Ebrahimian et al (2012) compared the performance of the HYDRUS-1D and HYDRUS-2D simulation models to simulate water flow and nitrate transport for conventional furrow irrigation, fixed alternate furrow irrigation, and variable alternate furrow irrigation using different fertigation strategies. Ebrahimian et al (2013a, b) used the one-dimensional surface and two-dimensional subsurface models to minimize nitrate losses in two types of alternate furrow fertigation systems.…”

Section: Introductionmentioning

confidence: 99%

The effect of different fertigation strategies and furrow surface treatments on plant water and nitrogen use

et al. 2015

View full text Add to dashboard Cite

scenarios with plastic and irrigation in alternate furrows showed a reduction in transpiration and yield, more water loss due to deep drainage, and less water lost due to evaporation. However, similar crop yields were obtained for this alternate furrow strategy as for the control furrow surface treatments. When only half the water was used for irrigation in this scenario, the reduction in yield was less than 20 % compared to the control treatments, producing higher water-use efficiency.

show abstract

Comparison of One- and Two-Dimensional Models to Simulate Alternate and Conventional Furrow Fertigation

Cited by 25 publications

References 20 publications

Surface fertigation: a review, gaps and needs

Surface fertigation: a review, gaps and needs

Effect of Initial Soil Water Content on Output Parameters of Sirmod Software Under Types of Different Irrigation Management

The effect of different fertigation strategies and furrow surface treatments on plant water and nitrogen use

Contact Info

Product

Resources

About