2011
DOI: 10.1590/s0100-06832011000600007
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Relação da velocidade de escoamento da solução e do comprimento da coluna de solo com os parâmetros de transporte de potássio em um latossolo e um neossolo

Abstract: (0.10, 0.20, 0.30, 0.40, and 0.50 m) and four pore-water velocities (0.62, 0.69, 0.75, and 0.81 m h -1 for the Oxisol and 0.37, 0.40, 0.44, and 0.48

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Cited by 7 publications
(3 citation statements)
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“…It appears that the measured data differed little from the simulated data, in which both the Vogeler et al (1996) adapted to the linear type CEw-Ci relationship and Hydrus-2D showed positive correlation (r +) with the measured data, which demonstrates the adequacy of these models for modeling the levels of nitrate and potassium in the soil solution. These results are in agreement with those obtained by Oliveira et al (2010), Ribeiro et al (2011) and Pinho and Miranda (2014) who stated that the Hydrus model was efficient in simulating the displacement of potassium and water.…”
Section: Resultssupporting
confidence: 92%
“…It appears that the measured data differed little from the simulated data, in which both the Vogeler et al (1996) adapted to the linear type CEw-Ci relationship and Hydrus-2D showed positive correlation (r +) with the measured data, which demonstrates the adequacy of these models for modeling the levels of nitrate and potassium in the soil solution. These results are in agreement with those obtained by Oliveira et al (2010), Ribeiro et al (2011) and Pinho and Miranda (2014) who stated that the Hydrus model was efficient in simulating the displacement of potassium and water.…”
Section: Resultssupporting
confidence: 92%
“…A concentration of 266.56 mg L -1 was observed to the depth of 0.56 m (eighth ring) in S1 column, while for S2, at a depth of 0.28 m (fourth ring), a concentration of 99.15 mg L -1 was observed (Figures 3 and 4). Similar results in which the soil textural class influenced the ions displacement were observed by Oliveira et al (2010), Ribeiro et al (2011) and Pinho & Miranda (2014).…”
Section: Resultssupporting
confidence: 88%
“…Increasing numbers of different types of organic micropollutants have been identified and investigated in aqueous environments over recent decades, for example, pharmaceutical compounds (Kümmerer, 2009;Li, 2014;Richardson and Bowron, 1985), pesticides (Ritter, 1990;Song et al, 2010;Yadav et al, 2015), and hormones (Kolpin et al, 2002;Silva et al, 2012;Young and Borch, 2012). A group of organic micropollutants that have recently come into focus comprises the perfluoroalkyl and polyfluoroalkyl substances (PFASs), which seem to be developing into a problem contaminant around the world (Kotthoff et al, 2015;Simon, 2014).…”
mentioning
confidence: 99%