Field determination and QSPR prediction of equilibrium-status soil/vegetation partition coefficient of PCDD/Fs
Characterizing pseudo equilibrium-status soil/vegetation partition coefficient K-sv, the quotient of respective concentrations in soil and vegetation of a certain substance at remote background areas, is essential in ecological risk assessment, however few previous attempts have been made for field...
Published in: | Journal of Hazardous Materials |
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Main Authors: | , , , , , |
Other Authors: | , , |
Format: | Journal/Newspaper |
Language: | English |
Published: |
journal of hazardous materials
2014
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Subjects: | |
Online Access: | https://hdl.handle.net/20.500.11897/158755 https://doi.org/10.1016/j.jhazmat.2014.05.036 |
Summary: | Characterizing pseudo equilibrium-status soil/vegetation partition coefficient K-sv, the quotient of respective concentrations in soil and vegetation of a certain substance at remote background areas, is essential in ecological risk assessment, however few previous attempts have been made for field determination and developing validated and reproducible structure-based estimates. In this study, K-SV was calculated based on measurements of seventeen 2,3,7,8-substituted PCDD/F congeners in soil and moss (Dicranum angustum), and rouzi grass (Thylacospermum caespitosum) of two background sites, Ny-Alesund of the Arctic and Zhangmu-Nyalam region of the Tibet Plateau, respectively. By both fugacity modeling and stepwise regression of field data, the air-water partition coefficient (K-AW) and aqueous solubility (S-W) were identified as the influential physicochemical properties. Furthermore, validated quantitative structure-property relationship (QSPR) model was developed to extrapolate the K-SV prediction to all 210 PCDD/F congeners. Molecular polarizability, molecular size and molecular energy demonstrated leading effects on K-SV. (C) 2014 Elsevier B.V. All rights reserved. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000339692700033&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 Engineering, Environmental Engineering, Civil Environmental Sciences SCI(E) EI PubMed 1 ARTICLE jianxin@pku.edu.cn 278-286 276 |
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