2018
DOI: 10.1016/j.agwat.2018.04.037
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Validating laboratory assessment of threshold electrolyte concentration for fields irrigated with marginal quality saline-sodic water

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Cited by 17 publications
(8 citation statements)
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“…A similar behavior was observed in ESP growth in waters of EC 200 and 700 μS cm -1 , which did not occur in the water with EC of 2000 μS cm -1 . In this case, the ESP increase was more pronounced in relation to the other saline waters, proving a more damaging effect of the use of more saline waters and higher SAR values, which can trigger physical problems in the soil (Jalali and Ranjbar, 2009;Chaganti et al, 2015;Dang et al, 2018). The pH of the saturation extract was also evaluated as a function of the SAR treatments used and the behavior of this variable was very similar to that of the soil pH (Figures 2A and B).…”
Section: Effects Of Sodium Adsorption Ratio On Saline Variablesmentioning
confidence: 74%
“…A similar behavior was observed in ESP growth in waters of EC 200 and 700 μS cm -1 , which did not occur in the water with EC of 2000 μS cm -1 . In this case, the ESP increase was more pronounced in relation to the other saline waters, proving a more damaging effect of the use of more saline waters and higher SAR values, which can trigger physical problems in the soil (Jalali and Ranjbar, 2009;Chaganti et al, 2015;Dang et al, 2018). The pH of the saturation extract was also evaluated as a function of the SAR treatments used and the behavior of this variable was very similar to that of the soil pH (Figures 2A and B).…”
Section: Effects Of Sodium Adsorption Ratio On Saline Variablesmentioning
confidence: 74%
“…While beyond the scope of this study, it is noted here that the McNeal (1968) model was modified by Ezlit et al (2013) to function on a soil‐specific basis via a semiempirical disaggregation approach. Dang et al (2018c) validated the specificity and the disaggregation model for field soils, while Bennett et al (2019) demonstrated the magnitude of soil variability, even for the same soil orders. Therefore, in seeking to improve the soil‐water dynamics of HYDRUS, it is prudent to utilize the semiempirical approach of Ezlit et al (2013) as well as to seek to improve the incorporation of pH effects.…”
Section: Theoretical Backgroundmentioning
confidence: 76%
“…The nonlinear inverse modeling included additional parameters, such as solution EC and soil clay content, which are critical governing factors in the management of the extent of K s reduction (Agassi et al, 1981;Cook et al, 2006;Dang et al, 2018aDang et al, , 2018cZhu et al, 2016). An increase in EC generates the osmotic pressure that compresses the diffuse double layer repulsive effect on the clay domains (Quirk, 2001), subsequently diminishing the contribution of pH and SAR on the diffuse double layer expansion (Sumner, 1993).…”
Section: Nonlinear Performance and Future Directionsmentioning
confidence: 99%
“…However, as will be shown in section 4, this does not necessarily mean that clayey soil is more prone to degradation than other soils, for the same irrigation regime and climatic conditions. Validation of the Ezlit et al (2013) model has shown that it is able to effectively predict reductions in hydraulic conductivity in a wide variety of soils as a result of saline and sodic water (Dang et al, 2018), though it does not consider the effects of other factors such as pH (Ali et al, 2019). A short overview of the Ezlit et al (2013) model is included in Text S4.…”
Section: Saturated Hydraulic Conductivitymentioning
confidence: 99%