首页> 外文期刊>Annals of work exposures and health. >Improvements in Modelling Bystander and Resident Exposure to Pesticide Spray Drift: Investigations into New Approaches for Characterizing the 'Collection Efficiency' of the Human Body
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Improvements in Modelling Bystander and Resident Exposure to Pesticide Spray Drift: Investigations into New Approaches for Characterizing the 'Collection Efficiency' of the Human Body

机译:改进建模旁观者和居民接触农药喷雾漂移:对表征人体“收集效率”的新方法的调查

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The BREAM (Bystander and Resident Exposure Assessment Model) (Kennedy et al. in BREAM: A probabilistic bystander and resident exposure assessment model of spray drift from an agricultural boom sprayer. Comput Electron Agric 2012;88:63-71) for bystander and resident exposure to spray drift from boom sprayers has recently been incorporated into the European Food Safety Authority (EFSA) guidance for determining non-dietary exposures of humans to plant protection products. The component of BREAM, which relates airborne spray concentrations to bystander and resident dermal exposure, has been reviewed to identify whether it is possible to improve this and its description of variability captured in the model. Two approaches have been explored: a more rigorous statistical analysis of the empirical data and a semi-mechanistic model based on established studies combined with new data obtained in a wind tunnel. A statistical comparison between field data and model outputs was used to determine which approach gave the better prediction of exposures. The semi-mechanistic approach gave the better prediction of experimental data and resulted in a reduction in the proposed regulatory values for the 75th and 95th percentiles of the exposure distribution.
机译:Bream(旁观者和居民曝光评估模型)(Kennedy等人。Bream:概率的旁观者和居民暴露评估模型,从农业繁荣的喷雾器开始。ComputElectron Agric 2012; 88:63-71),用于旁观者,旁观者和常驻者最近已将暴露于动臂喷雾器的喷雾漂移已被纳入欧洲食品安全局(EFSA)指南,以确定人类对种植保护产品的非态度暴露。已经审查了将空气传播喷雾浓度与旁观者和驻留皮肤暴露相关的Bream的组成部分,以确定是否可以改善这种情况以及对模型中捕获的可变性的描述。已经探索了两种方法:基于既定研究的经验数据和半机械模型的更严格的统计分析,并结合了风洞中获得的新数据。使用现场数据和模型输出之间的统计比较来确定哪种方法可以更好地预测暴露。半机械方法可以更好地预测实验数据,并导致暴露分布的第75%和第95个百分位数的调节值降低。

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