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Human Exposure Model (HEM): A Modular, Web-based Application to Characterize Near-field Chemical Exposures and Releases

机译:人体暴露模型(HEM):基于Web的模块化应用程序,用于表征近场化学物质的暴露和释放

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The U.S. EPA's Chemical Safety and Sustainability research program is developing the Human Exposure Model (HEM) to assess near-field exposures to chemicals that occur in various populations over the entire life cycle of a consumer product. The model will be implemented as a web-based, modular system that will produce estimates of population distributions of chemical exposure by route and releases to the environment, with one intended use to support human health impact assessments in Life Cycle Impact Assessments (LClAs). The model determines aggregate doses of thousands of chemicals from the use of over 300 categories of consumer products over one year. Fundamental components of the model included in the beta-HEM release (September 2017) are the Residential-Population Generator (RPGen), Human Behavior, product formulation, and Source-to-Dose modules. The RPGen module generates synthetic populations, together with characteristics that may drive product use such as detailed demographic and residential information for each household. The Human Behavior module uses agent-based modeling to determine longitudinal patterns of macro activities (eating, sleeping, commuting, working, and 'idle' time) and a product usage scheduler to define the use of consumer products on each day. CPDat, a database of product composition and chemical functional use data, is used to generate empirical product formulations. The Source-to-Dose module uses these outputs and data on chemical properties to calculate doses (by chemical, route and product category) for each individual, and corresponding environmental releases. This model allows for evaluation of near-field chemical exposures and environmental releases from the use of consumer products for incorporation into LClA and other chemical assessments.
机译:美国EPA的化学品安全与可持续性研究计划正在开发人体暴露模型(HEM),以评估在消费产品整个生命周期中各种人群所发生的化学物质的近场暴露。该模型将作为一个基于Web的模块化系统实施,该系统将按路线和向环境的排放量估算化学暴露的总体分布,并将其用于支持生命周期影响评估(LCla)中的人类健康影响评估。该模型在一年内通过使用300多种消费品来确定数千种化学药品的总剂量。 beta-HEM版本(2017年9月)中包含的模型的基本组成部分是“居住人口生成器”(RPGen),“人类行为”,产品配方和“按剂量分配”模块。 RPGen模块生成综合人口,以及可能推动产品使用的特征,例如每个家庭的详细人口统计和居住信息。人类行为模块使用基于代理的模型来确定宏观活动(进食,睡眠,通勤,工作和“空闲”时间)的纵向模式,并使用产品使用计划程序来定义每天消费产品的使用情况。 CPDat是产品成分和化学功能使用数据的数据库,用于生成经验性产品配方。 “从源到剂量”模块使用这些输出和化学性质数据来计算每个人的剂量(按化学物质,路线和产品类别)以及相应的环境释放量。该模型可以评估消费品用于LLCA和其他化学评估中所产生的近场化学暴露和环境释放。

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