Oak Ridge Institute for Science and Education (ORISE), National Center for Environmental Assessment, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina.
Integr Environ Assess Manag. 2014 Jan;10(1):37-47. doi: 10.1002/ieam.1486. Epub 2013 Dec 10.
Environmental and human health risk assessments benefit from using data that cross multiple scientific domains. Although individual data points may often be readily understood, the total picture can be difficult to envision. This is especially true with gaps in the data (e.g., with emerging substances such as engineered nanomaterials [ENM]), such that simply presenting only known information can result in a skewed picture. This study describes a method for building knowledge maps (KM) to visually summarize factors relevant to risk assessment in a relatively easy to interpret format. The KMs were created in the context of the comprehensive environmental assessment (CEA) approach for research planning and risk management of environmental contaminants. Recent applications of CEA to emerging substances such as engineered nanomaterials that have numerous data gaps have suggested that a more visually based depiction of information would improve the approach. We developed KM templates as a pilot project, to represent pertinent aspects of conceptual domains, and to highlight gaps in available information for one particular portion of a specific CEA application: the comparison of environmental transport, transformation, and fate of multiwalled carbon nanotubes (MWCNTs) and decabromodiphenyl ether as flame retardants. The results are 3 KM templates representing Physical Properties, Transport, and Transformation. The 3 templates were applied to both substances, resulting in a total of 6 KMs. In addition to presenting the KMs, this paper details the process used to generate them, to aid KM development for other sections of CEA applied to MWCNTs, or to apply the process to new CEA applications.
环境和人类健康风险评估受益于使用跨多个科学领域的数据。尽管单个数据点通常很容易理解,但总体情况却很难想象。对于数据中的空白(例如,新兴物质如工程纳米材料[ENM])尤其如此,因此仅呈现已知信息可能会导致图像扭曲。本研究描述了一种构建知识图(KM)的方法,以可视化地总结风险评估中相关因素的格式,相对易于解释。KM 是在综合环境评估(CEA)方法的背景下创建的,用于研究规划和环境污染物风险管理。最近对工程纳米材料等新兴物质的 CEA 应用表明,基于信息的更直观的描述将改进该方法。我们开发了 KM 模板作为一个试点项目,以代表概念领域的相关方面,并突出特定 CEA 应用特定部分的可用信息空白:多壁碳纳米管(MWCNT)和十溴二苯醚作为阻燃剂的环境迁移、转化和归宿的比较。结果是 3 个代表物理特性、传输和转化的 KM 模板。这 3 个模板分别应用于这两种物质,总共生成了 6 个 KM。除了呈现 KM 之外,本文还详细介绍了生成它们的过程,以帮助将 CEA 的其他部分应用于 MWCNT 的 KM 开发,或将该过程应用于新的 CEA 应用。