Partitioning of Cu, Pb, Ag, Zn, Fe, Al, and Mn Between Filter-Retained Particles, Colloids, and Solution in 6 Texas Estuaries

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dc.acquisition-srcDownloaded from-Web of Scienceen_US
dc.call-noen_US
dc.contract-noen_US
dc.contributor.authorBenoit Gen_US
dc.contributor.authorOktaymarshall SDen_US
dc.contributor.authorCantu Aen_US
dc.contributor.authorHood EMen_US
dc.contributor.authorColeman CHen_US
dc.contributor.authorCorapcioglu MOen_US
dc.contributor.authorSantschi PHen_US
dc.contributor.otherMarine Chemistryen_US
dc.date.accessioned2010-02-15T17:17:35Z
dc.date.available2010-02-15T17:17:35Z
dc.date.issued1994 Maren_US
dc.degreeen_US
dc.description307-336en_US
dc.description-otheren_US
dc.description.abstractThere are few methodical studies of processes controlling trace metal behavior in estuaries, where river water gradually mixes with seawater leading to systematic changes in ionic strength, pH, DOC, nutrient concentrations, and alkalinity. We report here data on Cu, Zn, Pb, and Ag behavior in six Texas estuaries using state-of-the-art ultra-clean techniques. In addition, Fe, Al, and Mn data are presented for one of Texas's major estuaries, Galveston Bay. It was found that suspended matter concentration (SPM) was the only variable related to systematic variations in partitioning of trace metal and Fe and Al concentrations between filter-retained and filter-passing fractions across salinity gradients. Inverse relationships were observed between empirically defined particle/solution distribution coefficients, K(D), for the different metals and SPM concentrations. This inverse dependence can be explained by the ''particle concentration effect'', which can be caused by the presence of Fe, Al, and trace metals associated with colloidal matter in the filtrate fraction. Our argument is supported by the direct analysis of colloids (> 10,000 Daltons) ultrafiltered from Galveston Bay waters. Colloidal Fe, Al, Pb, and Zn (but not Cu) account for most of the filter-passsing form of these metals. The results of this study have important implications for regulatory agencies and regulated industries, allowing for algorithms to predict Pb, Cu, Zn, and Ag partitioning between particle and solution phasesen_US
dc.description.urihttp://gbic.tamug.edu/request.htmen_US
dc.historyen_US
dc.identifier.urihttp://hdl.handle.net/1969.3/23511
dc.latitudeen_US
dc.locationen_US
dc.longitudeen_US
dc.notesTimes Cited: 124ArticleEnglishCited References Count: 51NA563PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDSAMSTERDAMen_US
dc.placeen_US
dc.publisheren_US
dc.relation.ispartofseries51164.00en_US
dc.relation.urien_US
dc.scaleen_US
dc.seriesen_US
dc.subjectSOUTHEASTERN UNITED-STATESen_US
dc.subjectDISSOLVED ORGANIC-CARBONen_US
dc.subjectMARINE-ENVIRONMENTen_US
dc.subjectHIGH-TEMPERATUREen_US
dc.subjectAQUATIC SYSTEMSen_US
dc.subjectTRACE-METALSen_US
dc.subjectcopperen_US
dc.subjectSEAWATERen_US
dc.subjectWATERSen_US
dc.subjectOXIDATIONen_US
dc.titlePartitioning of Cu, Pb, Ag, Zn, Fe, Al, and Mn Between Filter-Retained Particles, Colloids, and Solution in 6 Texas Estuariesen_US
dc.typeJournalen_US
dc.universityen_US
dc.vol-issue45(4)en_US

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