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Dynamic Model for the Stocks and Release Flows of Engineered Nanomaterials

机译:工程纳米材料库存和释放流的动态模型

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摘要

Most existing life-cycle release models for engineered nanomaterials (ENM) are static, ignoring the dynamics of stock and flows of ENMs. Our model, nanoRelease, estimates the annual releases of ENMs from manufacturing, use, and disposal of a product explicitly taking stock and flow dynamics into account. Given the variabilities in key parameters (e.g., service life of products and annual release rate during use) nanoRelease is designed as a stochastic model. We apply nanoRelease to three ENMs (TiO_2, SiO_2 and FeO_x) used in paints and coatings through seven product applications, including construction and building, household and furniture, and automotive for the period from 2000 to 2020 using production volume and market projection information. We also consider model uncertainties using Monte Carlo simulation. Compared with 2016, the total annual releases of ENMs in 2020 will increase by 34—40%, and the stock will increase by 28—34%. The fraction of the end-of-life release among total release flows will increase from 11% in 2002 to 43% in 2020. As compared to static models, our dynamic model predicts about an order of magnitude lower values for the amount of ENM released from this sector in the near-term while stock continues to build up in the system.
机译:现有的大多数工程纳米材料(ENM)生命周期释放模型都是静态的,忽略了ENM的库存和流量动态。我们的模型nanoRelease明确考虑了库存和流量动态,估计了产品制造,使用和处置过程中ENM的年度排放量。考虑到关键参数的变化(例如产品的使用寿命和使用期间的年释放率),nanoRelease被设计为随机模型。我们使用产量和市场预测信息,通过2000年至2020年期间的七种产品应用将nanoRelease应用于油漆和涂料中的三种ENM(TiO_2,SiO_2和FeO_x),包括建筑和建筑,家用和家具以及汽车。我们还考虑使用蒙特卡洛模拟的模型不确定性。与2016年相比,到2020年ENM的年度总排放量将增加34%至40%,库存量将增加28%至34%。寿命终止释放在总释放流中所占的比例将从2002年的11%增加到2020年的43%。与静态模型相比,我们的动态模型预测ENM释放量的值降低约一个数量级。在短期内从该部门获得收益,同时系统中的库存继续增加。

著录项

  • 来源
    《Environmental Science & Technology》 |2017年第21期|12424-12433|共10页
  • 作者单位

    Bren School of Environmental Science and Management, University of California, Santa Barbara, California 93106-5131, United States;

    Bren School of Environmental Science and Management, University of California, Santa Barbara, California 93106-5131, United States;

    Bren School of Environmental Science and Management, University of California, Santa Barbara, California 93106-5131, United States;

    Bren School of Environmental Science and Management, University of California, Santa Barbara, California 93106-5131, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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