Time-dependent copper extraction in different soil orders as influenced by soil to extractant Ratio
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2012, Vol 3, Issue 8
Abstract
In order to study and compare patterns of time-dependent copper (Cu) extraction in different soil orders and to investigate the effect of soil to extractant ratio (SER) on the rate of Cu release in different soil orders, a laboratory experiment was designed with ten soils from five orders. Soil samples were extracted using DTPA extractant for periods of 1, 10, 30, 60, 120, 240, 480, and 1440 min. Overall patterns of Cu extracted was characterized by a fast release reaction during the first two hours followed by a slower reaction and the pattern well fitted to power function, parabolic diffusion, and Elovich models. At SER = 1: 2 (SER1/2) Cu release rates were in order: Vertisols › Alfisols › Inceptisols › Histosols › Mollisols. At SER = 1: 10 (SER1/10), however, Cu release rates were in order: Histosols › Vertisols › Alfisols › Inceptisols › Mollisols. Results showed that the amounts of Cu released at SER1/10 were 76 to 316% higher than those of SER1/2 in different soil orders. The difference in the extraction capacity of the extractant between two SER was more considerable in Mollisols and Histosols and in all soils decreased with time. According to results of correlation coefficients between soil properties and percent increase in Cu extraction at SER1/10 than those of SER1/2, it is assumed that the higher extractant distributed to the soil per unit weight at SER1/10 might be responsible for higher dissolution of Cu bound to carbonates and OM which are potentially available forms, besides other available forms.
Authors and Affiliations
Reza Ghasemi-Fasaei*| Department of Soil Science, College of Agriculture, Shiraz University, Shiraz, Iran,ghasemif@shirazu.ac.ir, Abdolmajid Ronaghi| Department of Soil Science, College of Agriculture, Shiraz University, Shiraz, Iran, Mahdi Najafi Ghiri| College of Agriculture and Natural Resources, Shiraz University, Darab, Iran
Keywords
Related Articles
- EP ID EP5096
- DOI -
- Views 417
- Downloads 17
Improvement and Planning for Utilization of Sparse Production Resources in Distribution Networks Using DP Dynamic Algorithm
This paper proposes a microgrid distribution system with low voltage (LV) in the distribution network with multiple distributed generations (DG), including distributed and control loads. Here, for the presented network,...
The Specification of the Position and Relationship between Heads and Dependents in English NPs from Government and Binding Perspective
On the basis of government and binding theory, it is crucial to specify the position of different heads in NPs, VPs, APs and PPs in different languages along with their dependents and then the rules among the phrases sho...
Heavy Metals Concentrations in Different Tissues of Persian Jird (Meriones persicus) In Sistan Region
This research aims to study the concentration of heavy metals (Cu, Zn, Ni) in muscles, liver, and kidney tissues of Sistan region. For this purpose, five samples of Persian Jird (Meriones persicus) were collected. Metal...
Importance Of Fuzzy Neural Networks In More Accurate Prediction Of Expected Activity Levels And Major Operational And Financial Trends (A Case Study: Sarkhoon&Geshm Gas Refinery Co.)
Identification of a series of products and activities and subsequent activity levels expected Ability to effectively plan sales and profit forecasts. Determining the optimal point to improve the company's production and...
Survey of Dimensions that Influence the Success of Knowledge Management in shahid beheshti university of medical sciences
Many organizations have focused their efforts on how could manage the knowledge in the organizations. There are many benefits of Knowledge Management (KM) for organizations, of which can be noted to improve the quality o...