Multiple regression analysis to assess the spatial distribution and speciation of mercury in surface sediments of a contaminated lagoon

[Display omitted] •Inorganic mercury and methylmercury studied in sediments of contaminated lagoon.•Multiple regression model demonstrated different behavior for mercury species.•Inorganic mercury (IHg) depends on the distance to the IHg source and Al levels.•Methylmercury (MeHg) depends on IHg leve...

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Bibliographic Details
Published in:	Journal of hazardous materials Vol. 367; pp. 715 - 724
Main Authors:	Stoichev, T., Tessier, E., Coelho, J.P., Lobos Valenzuela, M.G., Pereira, M.E., Amouroux, D.
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 05-04-2019 Elsevier
Subjects:	Analytical chemistry Chemical Sciences Chlor-alkali industry Coastal lagoon Material chemistry Mercury species Multiple regression model or physical chemistry Polymers Sediments Theoretical and Multiple regression model Chlor-alkali industry Mercury species Sediments Coastal lagoon
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Summary:	[Display omitted] •Inorganic mercury and methylmercury studied in sediments of contaminated lagoon.•Multiple regression model demonstrated different behavior for mercury species.•Inorganic mercury (IHg) depends on the distance to the IHg source and Al levels.•Methylmercury (MeHg) depends on IHg levels in contaminated sediments.•MeHg depends also on the levels of Ca (marine proxy), Mn and organic matter. The concentrations of inorganic mercury (IHg) and methylmercury (MeHg) in surface sediments from the contaminated Aveiro Lagoon (Portugal) were determined by species-specific isotope dilution analysis. Different behaviour of IHg and MeHg was observed based upon multiple regression analysis, including geochemical characteristics of the surface sediments (fine fraction, concentrations of organic matter and metals) and non-Euclidean distances between sampling points. This data treatment method was valid over the entire concentration range of IHg and MeHg, allowing robust quantitative evaluation with respect to extrapolation. For IHg, there was statistical separation of the dispersion away from the contamination source and of Al concentration in the sediments. The MeHg concentrations followed those of IHg at high concentrations. The geochemical variables, such as concentrations of Ca (marine influence proxy), Mn and organic matter, were necessary to describe the behaviour of MeHg across the whole concentration range. The models for MeHg demonstrated that, close to the mouth of the lagoon, net production of MeHg was higher. In future, multiple regression analysis could be applied to separate and to evaluate quantitatively the effects of geochemistry and dispersion away from the contamination source in sediments contaminated with other substances.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0304-3894 1873-3336
DOI:	10.1016/j.jhazmat.2018.12.109