The aim of this work was to analyze the main equilibrium equations used for grains to find the best way to represent the equilibrium conditions between lentil and air. The experimental study was based on the static method using saturated salt solutions. We developed criteria for distinguish between some existing equations used for grains. To distinguishing between these equations we explored some nonlinearity measures. The results obtained showed that the Halsey modified equation was the best model in terms of nonsignificance for bias and nonlinearity measures
As majority of the sorption equilibrium equations are nonlinear, care should be taken in estimating their parameters, because in some situations, the confidence interval of the least-squares (LS) estimators may not be appropriate. In these cases, some procedures are available in the literature to validate the statistical properties of the LS estimators of nonlinear models. In this work, the nonlinear measures are used to discriminate, between six equations that represent the sorption equilibrium isotherms of kale seeds (Brassica oleracea L. var. acephala D.C.). Results show that the Halsey modified equation is the best one to describe the experimental data.
This work was performed in an experiment that is already being done for fifteen years in the rural campus of the Federal University of Sergipe, which studies the impact of soil management changes on production and soil physical properties, the area was divided into three installments, treated with tillage, minimum tillage and conventional tillage in a succession of sweet corn and sunflower, as ground cover. The objective was to obtain the basic infiltration velocity (BIV) by double infiltrometer ring, analyze its variation in relation to the managements and the adequacy of Horton models (1940), Kostiokov (1932), Kostiokov-Lewis (1945) and Phillip (1957). As expected, the treated soil in a milder way had the best results for water infiltration rate. An excellent result was observed, the BIV reached 123 mm h -1 , and the area managed with tillage was 1.86 times higher than in conventional tillage. The model that best fit the BIV in all kinds of managements was to Horton, the BIV calculated was equal to that obtained in the field, which is easily explained by the way that the equation progresses.
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