4.7 Article

Prediction of the bioavailability of potentially toxic elements in freshwaters. Comparison between speciation models and passive samplers

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 605, 期 -, 页码 211-218

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.scitotenv.2017.06.136

关键词

Metals bioavailability; Metals speciation; DGTs; WHAM 7.0; Bio-met; Visual MINTEQ 3.1

资金

  1. Confederacion Hidrogrfica del Ebro (CHE) [COM 15/001]
  2. Consolider Research Network on effects of water scarcity and global change in river systems [CTM2015-69780-REDC]
  3. Beatriu de Pinos program [2010 BP_A2 00018]
  4. 7th Framework Programme of European Union (Marie Curie PEOPLE action)
  5. AGAUR (Generalitat de Catalunya)

向作者/读者索取更多资源

The aim of this work is to predict the bioavailability of the Potentially Toxic Elements (PTEs) Cd, Pb, Hg, Ni, Cu, Zn, As, Cr and Se in 6 sites within the Ebro River basin. In situ Diffusive gradient in thin-films (DGTs) and classical sampling have been used and compared. The potentially bioavailable fractions of each PTE was estimated by modelling their chemical speciation using three programs (WHAM7.0, Visual MINTEQ 3.1 and Bio-met), following the suggestions published in recent European regulations. Results of the equilibrium-based models WHAM 7.0 and Visual MINTEQ 3.1 indicate that As, Cd, Ni, Se and Zn, predominate as free metals ions or forming inorganic soluble complexes. Copper, Pb and Hg bioavailability is conditioned by their affinity to dissolved humic substances. According to Visual MINTEQ 3.1, Cr is subjected to redox reactions, being Cr (VI) present (at low concentrations) in the studied rivers. According to Bio-met model, the bioavailability of Cu and Zn is highly influenced by soluble organic matter and water hardness, respectively. For most PTEs, the bioavailability estimated by deploying DGTs in river waters tends to be slightly lower than the estimation obtained with speciation models, since in real conditions more environmental factors take place comparing to the finite number of parameters considered in models. (C) 2017 Elsevier B.V. All rights reserved.

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