WIT Press


Estimation Of Vapour Pressure, Solubility In Water, Henry’s Law Function, And Log Kow As A Function Of Temperature For Prediction Of The Environmental Fate Of Chemicals

Price

Free (open access)

Paper DOI

10.2495/ETOX060021

Volume

10

Pages

10

Published

2006

Size

581 kb

Author(s)

J. Paasivirta

Abstract

Environmental risk R estimation of a chemical is based on predicting exposure of biota (PEC) in media and harmful effect potency as PNEC from (eco) toxicology. For default emission Eo, numerical relative risk is expressed as Ro = PEC/PNEC. Using the risk limit Ro ≥1, the risk emission is RE = Eo/Ro. PEC can be estimated by the fate modeling. Our FATEMOD model computes the fate of chemicals in an environment defined as a catchment area. In this model, the substance properties (liquid state) of vapour pressure Pl, water solubility S, Henry’s law coefficient H (Pl/S), lipophility Kow, and the reaction half-life times are automatically computed as a function of temperature. This feature is unique, thus far, in fate models. The physical properties in the environmental temperature range are obtained from the equation: Log Prop(i) = Ai – Bi /T (T in degrees Kelvin). We have learnt to determine the coefficients Apl,Bpl (for Pl), As,Bs (for S), Ah,Bh (for H) and Aow,Bow (for Kow) from thermodynamic equations of these properties as functions of molecular parameters and temperature T by dividing the equation into two parts: 1) T absent and 2) T present. The results compare well with expensive direct measurement results and also with results from retention time comparisons by temperature-controlled GC (for Pl) and HPLC (for S). In reasonable risk predictions for variable climates such as in Nordic countries, the ambient temperature cannot be ignored. Examples of temperature-adjusting FATEMOD runs in chemical risk estimations are given. Keywords: degradation rates, physical properties, regional model, relative risk, temperature corrections, thermodynamics.

Keywords

degradation rates, physical properties, regional model, relative risk,temperature corrections, thermodynamics.