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首页> 外文期刊>Environmental Science & Technology >Mining Available Data from the United States Environmental Protection Agency to Support Rapid Life Cycle Inventory Modeling of Chemical Manufacturing
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Mining Available Data from the United States Environmental Protection Agency to Support Rapid Life Cycle Inventory Modeling of Chemical Manufacturing

机译：挖掘来自美国环境保护署的可用数据以支持化学制造的快速生命周期清单建模

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摘要

Demands for quick and accurate life cycle assessments create a need for methods to rapidly generate reliable life cycle inventories (LCI). Data mining is a suitable tool for this purpose, especially given the large amount of available governmental data. These data are typically applied to LCIs on a case-by-case basis. As linked open data becomes more prevalent, it may be possible to automate LCI using data mining by establishing a reproducible approach for identifying, extracting, and processing the data. This work proposes a method for standardizing and eventually automating the discovery and use of publicly available data at the United States Environmental Protection Agency for chemical-manufacturing LCI. The method is developed using a case study of acetic acid. The data quality and gap analyses for the generated inventory found that the selected data sources can provide information with equal or better reliability and representativeness on air, water, hazardous waste, on-site energy usage, and production volumes but with key data gaps including material inputs, water usage, purchased electricity, and transportation requirements. A comparison of the generated LCI with existing data revealed that the data mining inventory is in reasonable agreement with existing data and may provide a more-comprehensive inventory of air emissions and water discharges. The case study highlighted challenges for current data management practices that must be overcome to successfully automate the method using semantic technology. Benefits of the method are that the openly available data can be compiled in a standardized and transparent approach that supports potential automation with flexibility to incorporate new data sources as needed.
机译：对快速准确的生命周期评估的需求导致对快速生成可靠的生命周期清单（LCI）的方法的需求。数据挖掘是用于此目的的合适工具，尤其是考虑到大量可用的政府数据时。这些数据通常视情况应用于LCI。随着链接的开放数据变得越来越普遍，通过建立用于标识，提取和处理数据的可重现方法，使用数据挖掘使LCI自动化成为可能。这项工作提出了一种方法，该方法用于标准化和最终自动化在美国环境保护署化学制造LCI中公开可用数据的发现和使用。该方法是使用乙酸的案例研究开发的。对生成清单的数据质量和差距分析发现，选定的数据源可以提供有关空气，水，危险废物，现场能源使用和产量的具有相同或更好的可靠性和代表性的信息，但关键的数据差距包括材料投入，用水，购置的电力和运输要求。将生成的LCI与现有数据进行比较后发现，数据挖掘清单与现有数据在合理范围内一致，并且可以提供更全面的空气排放量和水排放量清单。该案例研究强调了当前数据管理实践所面临的挑战，必须克服这些挑战才能成功使用语义技术使该方法自动化。该方法的好处在于，可以以标准化，透明的方式来编译公开可用的数据，该方法支持潜在的自动化，并可以根据需要灵活地合并新的数据源。

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  • 来源
    《Environmental Science & Technology》 |2016年第17期|9013-9025|共13页
  • 作者

    Sarah A. Cashman; David E. Meyer; Ashley N. Edelen; Wesley W. Ingwersen; John P. Abraham; William M. Barrett; Michael A. Gonzalez; Paul M. Randall; Gerardo Ruiz-Mercado; Raymond L. Smith;

  • 作者单位

    Eastern Research Group, 110 Hartwell Avenue, Lexington, Massachusetts 02421, United States;

    United States Environmental Protection Agency, National Risk Management Research Laboratory, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States;

    Oak Ridge Institute of Science and Education (ORISE) hosted by U.S. Environmental Protection Agency Office of Research and Development, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States;

    United States Environmental Protection Agency, National Risk Management Research Laboratory, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States;

    United States Environmental Protection Agency, National Risk Management Research Laboratory, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States;

    United States Environmental Protection Agency, National Risk Management Research Laboratory, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States;

    United States Environmental Protection Agency, National Risk Management Research Laboratory, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States;

    United States Environmental Protection Agency, National Risk Management Research Laboratory, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States;

    United States Environmental Protection Agency, National Risk Management Research Laboratory, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States;

    United States Environmental Protection Agency, National Risk Management Research Laboratory, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, 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);
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  • 正文语种 eng
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