Multiple regression analysis to assess the role of plankton on the distribution and speciation of mercury in water of a contaminated lagoon

作者：Stoichev T^*; Tessier E; Amouroux D; Almeida C M; Basto M C P; Vasconcelos V M

来源：Journal of Hazardous Materials, 2016, 318: 711-722.

DOI：10.1016/j.jhazmat.2016.07.061

• Chlor-alkali industry
• Mercury species
• Coastal lagoon
• Phytoplankton
• Multiple regression model

Spatial and seasonal variation of mercury species aqueous concentrations and distributions was carried out during six sampling campaigns at four locations within Laranjo Bay, the most mercury-contaminated area of the Aveiro Lagoon (Portugal). Inorganic mercury (IHg(II)) and methylmercury (MeHg) were determined in filter-retained (IHgPART, MeHgPART) and filtered (<0.45 mu m) fractions (IHg(II)(DISS), MeHgDISS). The concentrations of IHgPART depended on site and on dilution with downstream particles. Similar processes were evidenced for MeHgPART, however, its concentrations increased for particles rich in phaeophytin (Pha). The concentrations of MeHgDISS, and especially those of IHg(II)(DISS), increased with Pha concentrations in the water. Multiple regression models are able to depict MeHgPART, IHg(II)(DISS) and MeHgDISS concentrations with salinity and Pha concentrations exhibiting additive statistical effects and allowing separation of possible addition and removal processes. A link between phytoplankton/algae and consumers' grazing pressure in the contaminated area can be involved to increase concentrations of IHg(II)(DISS) and MeHgPART. These processes could lead to suspended particles enriched with MeHg and to the enhancement of IHg(II) and MeHg availability in surface waters and higher transfer to the food web.

• 出版日期2016-11-15