Analytical solute transport modeling of furrow fertigation using the STANMOD software package

Understanding and better managing the environmental fate of water and fertilizers in agricultural operations requires accurate modeling of the fertilization process under field conditions, including when using furrow fertigation. The STANMOD model has become a popular tool for simulating a range of...

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Veröffentlicht in:Journal of Hydrology and Hydromechanics Jg. 73; H. 2; S. 200 - 209
Hauptverfasser: Ashrafi, Ali, van Genuchten, Martinus Th, Ghanbarian, Behzad, Ebrahimian, Hamed
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bratislava Sciendo 01.06.2025
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Schlagworte:
Advection
Agriculture
Agrochemicals
Biological fertilization
Capital costs
Civil engineering
Dispersion
Effectiveness
Efficiency
Environmental impact
Fertigation
Fertilization
Fertilizer application
Fertilizers
Fluctuations
furrow irrigation
Furrows
Groundwater
Irrigation
Modelling
Pore water
Root-mean-square errors
Runoff
Software packages
Soil sciences
Solute transport
Solutes
STANMOD
Transport processes
Water velocity
ISSN:1338-4333, 0042-790X, 1338-4333
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Zusammenfassung:Understanding and better managing the environmental fate of water and fertilizers in agricultural operations requires accurate modeling of the fertilization process under field conditions, including when using furrow fertigation. The STANMOD model has become a popular tool for simulating a range of laboratory- and field-scale solute transport problems. By comparison, few if any studies have used this model to analyze solute transport in overland water during furrow fertigation. In this study, we investigate the efficacy of STANMOD in simulating overland solute transport in four irrigated furrows. STANMOD solves the governing advection-dispersion equation (ADE) for the solute transport process analytically. Experimental data were sourced from furrow fertigation experiments carried out at the University of Arizona. This study presents the results of fitting the ADE model in STANMOD to breakthrough curves measured at individual points along furrows, not the entire system. By directly fitting the ADE to measured solute concentrations, the average (or effective) values of dispersion coefficient (or longitudinal dispersivity) and fluid flux in the furrows were optimized using STANMOD. We found the coefficient of determination to be greater than 0.5 for all stations in all furrows, indicating a satisfactory fit of the model to the observed furrow concentration data. Root mean square error (RMSE) values varied over a wide range from 9.9 to 101.7 mg/L. We should point out that in practice flux does decrease along furrows due to infiltration. However, STANMOD assumes flux is constant and does not take its variability into account. Therefore, the optimized pore water velocity and dispersion coefficient represent values averaged over the corresponding domain. We conclude that STANMOD can provide a useful analytical description of solute transport in flowing overland water, thus facilitating furrow fertigation management.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1338-4333
0042-790X
1338-4333
DOI:10.2478/johh-2025-0015