Zinc availability in relation to selected soil properties in a crude oil polluted eutric tropofluvent

Chukwuma, M. C.; Eshett, E. T.; Onweremadu, E. U.; Okon, M. A.

doi:10.1007/bf03326136

Cited by 26 publications

(11 citation statements)

References 21 publications

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“…As for the amount of potassium, this element has a negative relationship with the H 2 O zinc, since it is a metal that appears in great quantity in limestone soils, whose characteristics favor the precipitation of Zn. Potassium is also associated with higher eCEC, and the solubility of Zn is conditioned by the ability of soil to adsorb substances [17,34].…”

Section: Zinc: Extraction Results and Model Developmentmentioning

confidence: 99%

Influence of Soil Properties and Initial Concentration on the Fractionation of Nickel, Zinc, Copper and Lead in Soils Derived from Different Parent Materials

et al. 2021

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Different fractions of Ni, Zn, Cu and Pb were determined in metal-spiked forest soils derived from four parent materials using three extractants (H2O, CaCl2 and diethylenetriaminepentaacetic acid (DTPA)). It is important to determine how parent materials and soil properties affect the retention of these metals in order to predict their behavior and act accordingly in the event of accidental spillage, for example. The extraction of fractions was not sequential (before carrying out the extractions, the soil samples were divided into three parts), so the CaCl2 fraction also included the H2O one, and the DTPA fraction contained the other two. With the results, we developed models to predict the extraction of each fraction employing the physicochemical characteristics of the soil (e.g., pH, organic matter content and texture values) and the amount of metal added. The objective of this work was to determine how the properties of the soil would influence the fractioning of the metals considered, and through these characteristics create models to predict the behavior of each metal fraction. We found correlations between the different fractions of Ni and Zn, suggesting that there are soil properties that condition the retention of both metals. Pb and Cu showed different behavior than Zn or Ni, since the proportions extracted by H2O and CaCl2 were much lower. Regarding the DTPA fraction, unlike the case of Ni or Zn, the extraction of Cu and Pb was more homogeneous; they did not show great variation in different soils, even when considering the results of extraction in limestone soils. This may be due to the fact that the soil properties do not exert an important effect on their availability, or these two metals are considerably sensitive to the effect of pH, and no differences were observed because the extraction of the DTPA fraction was conducted with a buffered solution. For each fraction of metal used, we obtained a model with R2 always greater than 0.65. Considering these results, we can conclude that it is possible to predict Zn, Ni, Cu and Pb availability in soils developed on different parent materials. This can be achieved by identifying some basic soil characteristics and applying the developed equations.

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Section: Zinc: Extraction Results and Model Developmentmentioning

confidence: 99%

Influence of Soil Properties and Initial Concentration on the Fractionation of Nickel, Zinc, Copper and Lead in Soils Derived from Different Parent Materials

et al. 2021

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“…Suspected micronutrient deficiencies may be diagnosed with foliar spray trials with one or more micronutrients (Mortvedt, 2011). A number of edaphic factors, including pH, organic matter, effective cation exchange capacity and clay have been indicated to affect Zn availability in soils, Zn tends to be less available in soils with high pH (Alloway, 1995;Okafor and Opuene, 2007;Nabulo et al, 2008;Chukwuma et al, 2010).…”

Section: F Arefmentioning

confidence: 99%

Evaluation of Application Methods and Rates of Zinc and Boron on Nitrogen, Phosphorus and Potassium Contents of Maize Leaf

Aref¹

2012

Journal of Plant Nutrition

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2 Plant analysis can be a useful tool in determining the general nutritional status of crops during the growing season. For this reason, a field experiment was conducted in the Fars province of Iran during 2008 season to evaluate the concentrations of nitrogen (N), phosphorus (P) and potassium (K) in maize leaf as affected by zinc sulfate and boric acid. Treatments were arranged in a randomized complete block design with two factors and three replications. Factor one included four levels of B (0, 3 and 6 kg ha −1 B added to the soil and B foliar spray with a 0.3% concentration); factor two consisted of five levels of zinc (Zn) (0, 8, 16 and 24 kg ha −1 Zn added to the soil and Zn foliar spray with a 0.5% concentration). The results of this work showed that the main effect of Zn and B levels and interaction of Zn{B on the leaf N and P concentrations was insignificant. A synergism was seen between Zn and K and also between B and K. The presence of a high amount of Zn or B in the soil prevented from increase of leaf K content, by B or Zn application, respectively.

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“…For the realization of conceptual models of clayey and sandy soils, some characteristics of soil variables on which based the present study were remembered briefly. The soil layers differ in pH and organic carbon content; the litter layer has a higher pH as well as organic carbon content compared to the underlying layer (Chukwuma et al, 2010). It is suggested that the higher pH and the higher available organic carbon in soils provide a niche for denitrification (Laverman et al, 2001).…”

Section: Development Of the Conceptual Modelmentioning

confidence: 99%

Application of structural equation modeling for assessing relationships between organic carbon and soil properties in semiarid Mediterranean region

Brahim

Breton

Gallali

et al. 2011

Int. J. Environ. Sci. Technol.

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ABSTRACT:Restoration of atmospheric carbon in soils has principal many good effects. Arid lands cover more than 40 % of the global earth area, but only stock 16 % from the global carbon stock. It seems to be a suitable solution for this environmental issue, but still all variables controlling organic carbon in such kinds of soil, was ignored. This study aims to develop two models of organic carbon under clayey and sandy soils in semi-arid Mediterranean zones basing on physical and chemical soil properties. For establishing both models, structural equation modeling was used. For modeling organic carbon, two Tunisian soil databases composed from clayey and sandy soils made respectively, of 450 and 602 soil horizons were used. Using the two databases for all properties, the principal component analysis shows two components for clayey soil; (i) chemical properties and bulk density and (ii) physical properties. For the sandy soil it reveals two components; (i) chemical properties and (ii) physical properties. According to the derived components for each soil category, two models have been built. Structural equation modeling results show that clayey model has proved that organic carbon was controlled by chemical properties and bulk density more than physical properties and sandy model has proved that organic carbon was controlled by chemical properties more than physical properties. The root mean square errors of approximation were 0.079 and 0.050 for the clayey and sandy models, respectively. Then these two models were validated with two other databases from Tunisian dryland soils.

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Zinc availability in relation to selected soil properties in a crude oil polluted eutric tropofluvent

Cited by 26 publications

References 21 publications

Influence of Soil Properties and Initial Concentration on the Fractionation of Nickel, Zinc, Copper and Lead in Soils Derived from Different Parent Materials

Influence of Soil Properties and Initial Concentration on the Fractionation of Nickel, Zinc, Copper and Lead in Soils Derived from Different Parent Materials

Evaluation of Application Methods and Rates of Zinc and Boron on Nitrogen, Phosphorus and Potassium Contents of Maize Leaf

Application of structural equation modeling for assessing relationships between organic carbon and soil properties in semiarid Mediterranean region

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