4.7 Article

Temporal and spatial variations in hydrophobicity dependence of field-derived metrics to assess the biomagnification potential of hydrophobic organochlorine compounds

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 690, Issue -, Pages 300-312

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2019.06.221

Keywords

Bioaccumulation; Fugacity; Stable isotope ratio; Trophic level; Hydrophobicity; Trophic magnification factor

Funding

  1. Basic Science Research Program through the National Research Foundation of Korea (NRF) - the Ministry of Education [NRF-2017R1A6A1A06015181]
  2. Incheon National University

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The bioaccumulation potential (B) of compounds is one of the major considerations in assessing chemical hazards. A variety of metrics, including hydrophobicity (K-ow), bioconcentration factor (BCF), bioaccumulation factor (BAF), and to an increasing degree biomagnification factor (BMF) and trophic magnification factor (TMF), are widely used to characterize B. In the present study, the variation and hydrophobicity-dependence of each of these metrics for recalcitrant hydrophobic organochlorine compounds (HOCs) was determined from four food webs collected in two different seasons at two different sites of the Han River, Korea. Measured environmental parameters and stable isotopic ratios exhibited distinct seasonal and spatial shifts in the ecological condition of the river. The observed values of individual metrics were positively and linearly related with their log K-ow values, but linearized slopes differed significantly among the four food webs, with the largest variation being exhibited by TMF and log fugacity ratio (log F) followed by log BMF > log BAF. When based on field-derived mean linear equations, different log K-ow values were obtained for a critical point for the identification of biomagnification of HOCs. Consequently, the biomagnification potential of HOCs and its relationship with K-ow can vary, being seriously affected by not only on the metrics used for its assessment but also on spatial and temporal variations in ecological conditions. Our results indicate that TMF for B might be more robust than the other metrics but the development of new methodologies to reduce uncertainty and to enhance the accuracy of TMFs by correcting for ecological variation, together with addition efforts to harmonize individual metrics for B. (C) 2019 Elsevier B.V. All rights reserved.

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