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Determination and prediction of zinc speciation in estuaries

Pearson, Holly B.C.; Comber, Sean D.W.; Braungardt, Charlotte B.; Worsfold, Paul; Stockdale, Anthony; Lofts, Stephen. 2018 Determination and prediction of zinc speciation in estuaries. Environmental Science & Technology, 52 (24). 14245-14255. https://doi.org/10.1021/acs.est.8b04372

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Abstract/Summary

Lowering of the estuarine Environmental Quality Standard for zinc in the UK to 121 nM reflects rising concern regarding zinc in ecosystems and is driving the need to better understand its fate and behavior and to develop and parametrize speciation models to predict the metal species present. For the first time, an extensive data set has been gathered for the speciation of zinc within an estuarine system with supporting physicochemical characterization, in particular dissolved organic carbon. WHAM/Model VII and Visual MINTEQ speciation models were used to simulate zinc speciation, using a combination of measured complexation variables and available defaults. Data for the five estuarine transects from freshwater to seawater endmembers showed very variable patterns of zinc speciation depending on river flows, seasons, and potential variations in metal and ligand inputs from in situ and ex situ sources. There were no clear relationships between free zinc ion concentration [Zn2+] and measured variables such as DOC concentration, humic and biological indices. Simulations of [Zn2+] carried out with both models at high salinities or by inputting site specific complexation capacities were successful, but overestimated [Zn2+] in low salinity waters, probably owing to an underestimation of the complexation strength of the ligands present. Uncertainties in predicted [Zn2+] are consistently smaller than standard deviations of the measured values, suggesting that the accuracy of the measurements is more critical than model uncertainty in evaluating the predictions.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1021/acs.est.8b04372
UKCEH and CEH Sections/Science Areas: Pollution (Science Area 2017-)
ISSN: 0013-936X
Additional Keywords: zinc, speciation, estuary, WHAM, model, Visual MINTEQ
NORA Subject Terms: Ecology and Environment
Chemistry
Date made live: 11 Feb 2019 12:15 +0 (UTC)
URI: http://nora.nerc.ac.uk/id/eprint/521991

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