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首页> 外文会议>Conference on Environmental Monitoring and Remediation III; Oct 28-30, 2003; Providence, Rhode Island, USA >Model-supported ranking of pesticides with regard to risk assessment exemplified in Triazine compounds
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Model-supported ranking of pesticides with regard to risk assessment exemplified in Triazine compounds

机译：由模型支持的农药在三嗪化合物中的风险评估排名

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The use of simulation models to assess the exposure to chemicals is widely accepted. A highly sophisticated model, like SNAPS, includes the transport processes within the unsaturated soil zone and plants and therefore allows estimating plant contamination as a transfer pathway for health risk assessment due to oral uptake processes. Such models though need many specific data regarding chemicals, their application pattern and environmental data. Therefore, it is also of interest to strengthen the efforts in applying simpler models, like those classical models of Jury and deriving descriptors of the chemical behavior, to deduce a partial ordering of the chemicals of interest and from that derive a ranking probability distribution by application of order-preserving mathematical mappings. On the background of a brief discussion of the SNAPS and Jury models, this concept has been illustrated by an application in order to find probability distribution functions for different Triazine compounds.
机译：使用模拟模型评估化学品的暴露已被广泛接受。像SNAPS这样的高度复杂的模型包括非饱和土壤区域和植物内的运输过程，因此可以估算植物污染，作为通过口服摄取过程进行健康风险评估的转移途径。尽管此类模型需要有关化学品，其应用模式和环境数据的许多特定数据。因此，也有必要加强努力，以应用更简单的模型（如陪审团的经典模型和推导化学行为的描述子）来推论所关注化学物质的部分排序，并从中推导出应用的排名概率分布保持顺序的数学映射。在对SNAPS和Jury模型进行简短讨论的背景下，已通过应用程序说明了此概念，以便找到不同三嗪化合物的概率分布函数。

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