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Use of multiparametric techniques to...
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University of South Carolina., Chemistry.
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Use of multiparametric techniques to study the factors affecting iron(II) oxidation kinetics in natural waters.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Use of multiparametric techniques to study the factors affecting iron(II) oxidation kinetics in natural waters./
作者:
Craig, Preston Scott.
面頁冊數:
383 p.
附註:
Adviser: Timothy J. Shaw.
Contained By:
Dissertation Abstracts International70-03B.
標題:
Chemistry, Analytical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3350098
ISBN:
9781109071184
Use of multiparametric techniques to study the factors affecting iron(II) oxidation kinetics in natural waters.
Craig, Preston Scott.
Use of multiparametric techniques to study the factors affecting iron(II) oxidation kinetics in natural waters.
- 383 p.
Adviser: Timothy J. Shaw.
Thesis (Ph.D.)--University of South Carolina, 2009.
A multiparameteric experimental design was employed to investigate the role of a series of naturally occurring ligands on the rate of Fe(II) oxidation in natural waters. Initially, chloride, sulfate, total carbonate, fluoride and natural organic matter (NOM) were studied at a constant pH (∼8.00) and Fe(II) concentration (18muM). The effects of each ligand, and the interactions between ligands, were determined at the 95% confidence level. Total carbonate, NOM, and chloride were all found to be significant promoters of the oxidation process. While sulfate, fluoride, and the interaction between sulfate and fluoride were found to inhibit Fe(II) oxidation. The experimental conditions at the center point of our design were then use to investigate how different types of organic matter would affect the oxidation rate. A series of characterized organic matter from a variety of sources was evaluated to determine if the difference in source material affected the Fe(II) oxidation rate. The results showed that the oxidation rate for the entire series varied by only a factor of two, despite the widely differing source materials.
ISBN: 9781109071184Subjects--Topical Terms:
586156
Chemistry, Analytical.
Use of multiparametric techniques to study the factors affecting iron(II) oxidation kinetics in natural waters.
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A multiparameteric experimental design was employed to investigate the role of a series of naturally occurring ligands on the rate of Fe(II) oxidation in natural waters. Initially, chloride, sulfate, total carbonate, fluoride and natural organic matter (NOM) were studied at a constant pH (∼8.00) and Fe(II) concentration (18muM). The effects of each ligand, and the interactions between ligands, were determined at the 95% confidence level. Total carbonate, NOM, and chloride were all found to be significant promoters of the oxidation process. While sulfate, fluoride, and the interaction between sulfate and fluoride were found to inhibit Fe(II) oxidation. The experimental conditions at the center point of our design were then use to investigate how different types of organic matter would affect the oxidation rate. A series of characterized organic matter from a variety of sources was evaluated to determine if the difference in source material affected the Fe(II) oxidation rate. The results showed that the oxidation rate for the entire series varied by only a factor of two, despite the widely differing source materials.
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A second set of experimental designs was then used investigate how Fe(II) concentration and pH affects Fe(II) oxidation. This was accomplished by performing complete matrices at a series of pH values ranging from 6.5 to 8.5. When the results from each of the five points were examined, the terms for chloride, total carbonate, Fe(II) concentration and total carbonate squared were found to be significant at every pH. The coefficients for each of these terms were then used to construct an overall equation that can then be used to model the rate of Fe(II) oxidation over a range of environmental conditions. The utility of this model was then tested by comparison with the experimental determined oxidation rate from several natural waters. The model predicted rates were within an order of magnitude for all of the samples studied.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3350098
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