Surface complexation models: An evaluation of model parameter estimation using FITEQL and oxide mineral titration data
dc.contributor.author | Hayes, Kim F. | en_US |
dc.contributor.author | Redden, George | en_US |
dc.contributor.author | Ela, Wendell | en_US |
dc.contributor.author | Leckie, James O. | en_US |
dc.date.accessioned | 2006-04-10T14:46:49Z | |
dc.date.available | 2006-04-10T14:46:49Z | |
dc.date.issued | 1991-03-15 | en_US |
dc.identifier.citation | Hayes, Kim F., Redden, George, Ela, Wendell, Leckie, James O. (1991/03/15)."Surface complexation models: An evaluation of model parameter estimation using FITEQL and oxide mineral titration data." Journal of Colloid and Interface Science 142(2): 448-469. <http://hdl.handle.net/2027.42/29417> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6WHR-4CX6RX7-F5/2/6d9e36fe80cd56ea65d047271ce02b92 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/29417 | |
dc.description.abstract | The ability of surface complexation models (SCMs) to fit sets of titration data as a function of changes in model parameters was evaluated using FITEQL and acid-base titration data of [alpha]-FeOOH, [alpha]-Al2O3, and TiO2. Three SCMs were evaluated: the triple-layer model (TLM), the constant capacitance model (CCM), and the diffuse-layer model (DLM). For all models evaluated, increasing the model input value for the total number of surface sites caused a decrease in the best-fit Log K values of the surface protolysis constants. In the case of the CCM, the best-fit surface protolysis constants were relatively insensitive to changes in the value of the capacitance fitting parameter, C1, particularly for values of C1 greater than 1.2 F/m2. Similarly, the best-fit values of TLM surface electrolyte binding constants were less influenced by changes in the value of C1 when C1 was greater than 1.2 F/m2. For a given C1 value, the best-fit TLM values of the electrolyte binding constants were sensitive to changes in [Delta]pKa up to [Delta]pKa values of 3. For [Delta]pKa values above 3, no changes in the best-fit electrolyte binding constants were observed. Effects of the quality and extent of titration data on the best-fit values for surface constants are discussed for each model. A method is suggested for choosing a unique set of parameter values for each of the models. | en_US |
dc.format.extent | 1698452 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Surface complexation models: An evaluation of model parameter estimation using FITEQL and oxide mineral titration data | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Materials Science and Engineering | en_US |
dc.subject.hlbsecondlevel | Chemistry | en_US |
dc.subject.hlbsecondlevel | Chemical Engineering | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Environmental and Water Resources Engineering, Department of Civil Engineering, University of Michigan, Ann Arbor, Michigan 48109-2125, USA | en_US |
dc.contributor.affiliationother | Environmental Engineering and Science, Department of Civil Engineering, Stanford University, Stanford, California 94305, USA | en_US |
dc.contributor.affiliationother | Environmental Engineering and Science, Department of Civil Engineering, Stanford University, Stanford, California 94305, USA | en_US |
dc.contributor.affiliationother | Environmental Engineering and Science, Department of Civil Engineering, Stanford University, Stanford, California 94305, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/29417/1/0000493.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0021-9797(91)90075-J | en_US |
dc.identifier.source | Journal of Colloid and Interface Science | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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