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Substance Or Space? The Relative Importance Of Substance Properties And Environmental Characteristics In Modeling The Fate Ofchemicals In Europe

机译:物质还是空间?在欧洲化学品命运建模中,物质特性和环境特征的相对重要性

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The relative influence of substance properties and of environmental characteristics on the variation in the environmental fate of chemicals was studied systematically and comprehensively. This was done by modeling environmental concentrations for 200 sets of substance properties, representative of organic chemicals used, and 137 sets of environmental characteristics, representative of regions in Europe of 250 × 250 km. Since it was expected that the model scale has an influence on the predicted concentration variations, the calculations were repeated for regions with a 100 × 100 km and 50 × 50 km area. Stepwise multiple regression analysis was performed to determine the contribution of each of the individual input parameters on the total concentration variation. Depending on the scenario, the range in predicted environmental concentrations spreads from two up to nine orders of magnitude. In accord with earlier studies, variation in the fate of chemicals in the environment appeared to depend mainly on substance-specific partition coefficients and degradation rates. For the estimation of soil and water concentrations with direct emissions to these compartments, however, the influence of spatial variation in environmental characteristics can mount up to two orders of magnitude, a range that can be significant to account for in certain model applications. Concentration differences in water and soil are predicted to be larger if a smaller region is applied in the model calculations, and the relative influence of environmental characteristics on the total variation increases on a more detailed spatial scale. It is argued that the influence of environmental characteristics as predictors of exposure concentrations of chemicals deserves better attention in comparative risk assessment with conventional nonspatial multimedia box models.
机译:系统,全面地研究了物质特性和环境特征对化学品环境命运变化的相对影响。这是通过对200种物质特性的环境浓度建模(代表使用的有机化学品)和137种环境特征(针对欧洲250×250 km的地区)来建模的。由于预计模型规模会影响预测的浓度变化,因此对面积为100×100 km和50×50 km的区域重复了计算。进行逐步多元回归分析以确定每个单独输入参数对总浓度变化的贡献。根据情况,预测的环境浓度范围从两个到九个数量级不等。与早期研究一致,环境中化学物质的命运变化似乎主要取决于特定于物质的分配系数和降解速率。但是,为了估算直接排放到这些隔室中的土壤和水的浓度,环境特征的空间变化的影响可能会增加两个数量级,在某些模型应用中该范围很重要。如果在模型计算中使用较小的区域,则水和土壤的浓度差异预计会更大,并且环境特征对总变化的相对影响会在更详细的空间范围内增加。有人认为,环境特征作为化学物质暴露浓度的预测指标的影响在与常规非空间多媒体盒模型进行的比较风险评估中应得到更好的关注。

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