首页> 外文会议>International Conference on Environmental Toxicology; 20060911-13; Mykonos(GR) >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
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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

机译:估算蒸气压,在水中的溶解度,亨利定律函数和Log Kow作为温度的函数,以预测化学品的环境命运

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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 PI, 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 PI), 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 PI) 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.
机译:化学品的环境风险R估计是基于预测培养基中生物区系(PEC)的暴露以及(生态)毒理学中作为PNEC的有害作用力。对于违约排放Eo,数值相对风险表示为Ro = PEC / PNEC。使用Ro≥1的风险极限,风险排放为RE = Eo / Ro。 PEC可以通过命运建模来估计。我们的FATEMOD模型计算定义为集水区的环境中化学品的命运。在该模型中,蒸气压PI,水溶解度S,亨利定律系数H(Pl / S),亲脂性Kow和反应半衰期的物质性质(液态)随温度自动计算。到目前为止,此功能在命运模型中是独一无二的。环境温度范围内的物理特性可从以下公式获得:Log Prop(i)= Ai-Bi / T(T以开尔文为单位)。我们已经学会了根据这些性质的热力学方程来确定系数Apl,Bpl(对于PI),As,Bs(对于S),Ah,Bh(对于H)和Aow,Bow(对于Kow)作为分子参数和将方程分为两部分:1)T不存在和2)T存在。结果与昂贵的直接测量结果以及通过温度控制的GC(对于PI)和HPLC(对于S)进行的保留时间比较的结果相比较。在诸如北欧国家这样的可变气候的合理风险预测中,不能忽略环境温度。给出了在化学风险评估中进行温度调节的FATEMOD运行的示例。

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