Salt Movement Under Level‐Basin Irrigation

Champion, Didier; Kruse, E. Gordon; Kincaid, D. C.

doi:10.1061/(asce)0733-9437(1991)117:5(642)

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…The shale is laden with gypsum crystals and the soils contain soluble salts. Deep percolation and seeping waters dissolve gypsum and displace soluble salts into the shallow ground and into the Colorado River (Champion et al 1991). Each bench has two small basins, north and south.…”

Section: Model Calibrationmentioning

confidence: 99%

“…Each lysimeter is 1.52 x 1.22 x 1.22 m deep. The details of lysimeters and their setup can be obtained from Kincaid et al (1979) and details of the experimental site from Champion et al (1991).…”

Section: Model Calibrationmentioning

confidence: 99%

“…The EPIC model extended to consider salinity was calibrated and validated with observed field data obtained at the Fruita Research Center of Colorado (Champion et al 1991;Kruse et al 1993). Then, the model was used to simulate salinity and biomass in alfalfa production in the Imperial Valley of California under various water stress management practices during the summer (Robinson et al 1992(Robinson et al , 1994.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling Deficit Irrigation in Alfalfa Production

Tayfur¹,

Tanji²,

House³

et al. 1995

J. Irrig. Drain Eng.

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ABSTRACT:A conceptual agronomic model EPIC was extended to consider the effects of salinity in alfalfa production under optimal and water stress irrigation conditions. The extended m~del was c~libr~te.d and validated with observed Iysimeter data. The model parameters that affected alfalfa yIeld and SOIl sahmty the most were wilting point, field capacity, hydraulic conductivity, nitrate concentration, biomass energy ratio, seeding rate, average soil salinity EC at which crop yield is reduced by 50% (EC 50 ), and initial soil gypsum concentration. The calibrated and validated model was then applied to an alfalfa deficit irrigation study. The four irrigation treatments included optimum check, minimum stress, short stress, and long stress, each of which produced differential alfalfa yields. The purpose of summer deficit irrigation was to ascertain how much agricultural water at what cost could be made available for urban water uses during water shortfalls. The results of model simulation were found to be satisfactory under all irrigation treatments though the model slightly overestimated the yields and underestimated the soil EC e at the end of short and long stress treatments. An economic component is included to determine the appropriate compensation for farmers undergoing a range of deficit irrigations.

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Section: Model Calibrationmentioning

confidence: 99%

Section: Model Calibrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling Deficit Irrigation in Alfalfa Production

Tayfur¹,

Tanji²,

House³

et al. 1995

J. Irrig. Drain Eng.

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Modeling Water Stress Effect on Soil Salinity

Tayfur

2011

Climate Change and Its Effects on Water Resources

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As it is widely known the earth is experiencing a climate change. The primary effect of this change is the increase trend in global temperature. This, in turn, results in increased number of events in flooding, and drought in different parts of the world. A secondary effect is the change in water and soil salinity. A considerable portion of the cultivated land in the world is affected by salinity, limiting productivity potential. About 20 million ha of total 230 million ha of irrigated land in the world are salt affected. The climate change is expected to worsen this situation. This study explores the water stress effect on soil salinity. For this purpose, a model is developed to simulate salt transport in a layered soil column. The soil salinity transport model development involves two parts: (1) modeling salt movement through sail layers due to runoff, percolation, and lateral subsurface flow, and (2) modeling dissolution and precipitation of gypsum which acts as sink or source for salts in soil. The model is calibrated and validated with measured data. The soil is irrigated under optimal and water stress irrigation conditions. The major model parameters affecting the soil salinity are found to be wilting point, field capacity, hydraulic conductivity, initial soil salinity, and soil gypsum concentration. The results have revealed that water stress results in high concentration of salt accumulation in soil columns.

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Salt Movement Under Level‐Basin Irrigation

Cited by 2 publications

References 2 publications

Modeling Deficit Irrigation in Alfalfa Production

Modeling Deficit Irrigation in Alfalfa Production

Modeling Water Stress Effect on Soil Salinity

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