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Accounting for the dissociating properties of organic chemicals in LCIA: an uncertainty analysis applied to micropollutants in the assessment of freshwater ecotoxicity

机译:解释LCIA中有机化学物质的离解特性:不确定性分析应用于微污染物评估淡水生态毒性

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摘要

In life cycle impact assessment (LCIA) models, the sorption of the ionic fraction of dissociating organicchemicals is not adequately modeled because conventional non-polar partitioning models are applied.Therefore, high uncertainties are expected when modeling the mobility, as well as the bioavailability foruptake by exposed biota and degradation, of dissociating organic chemicals. Alternative regressions thataccount for the ionized fraction of a molecule to estimate fate parameters were applied to the USEtoxmodel. The most sensitive model parameters in the estimation of ecotoxicological characterization factors(CFs) of micropollutants were evaluated by Monte Carlo analysis in both the default USEtox model andthe alternative approach. Negligible differences of CFs values and 95% confidence limits between the twoapproaches were estimated for direct emissions to the freshwater compartment; however the defaultUSEtox model overestimates CFs and the 95% confidence limits of basic compounds up to three ordersand four orders of magnitude, respectively, relatively to the alternative approach for emissions to theagricultural soil compartment. For three emission scenarios, LCIA results show that the default USEtoxmodel overestimates freshwater ecotoxicity impacts for the emission scenarios to agricultural soil by oneorder of magnitude, and larger confidence limits were estimated, relatively to the alternative approach.
机译:在生命周期影响评估(LCIA)模型中,由于采用了传统的非极性分区模型,因此无法对离解有机化学物质的离子部分的吸附进行充分建模,因此在对迁移率以及生物利用度摄取进行建模时,存在很高的不确定性通过暴露的生物群和降解,使有机化学物质解离。 USEtox模型应用了将分子的离子化部分用来估算归宿参数的替代回归。在默认USEtox模型和替代方法中,通过蒙特卡洛分析评估了微污染物生态毒理学表征因子(CFs)估计中最敏感的模型参数。估计两种方法之间的CFs值和95%置信限之间的差异可以忽略不计,这是直接排放到淡水舱室的原因。但是,相对于向农业土壤隔室排放的替代方法,defaultUSEtox模型高估了CFs和碱性化合物的95%置信极限,分别高达三个数量级和四个数量级。对于三种排放情景,LCIA结果表明,默认的USEtox模型高估了排放情景对农业土壤对农业土壤的淡水生态毒性影响一个数量级,并且相对于替代方法,估计了更大的置信度。

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