Frey H Christopher, Hubbell Bryan
Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27695-7908.
Proc Air Waste Manage Assoc Meet. 2009 Jun;2(102):1068-1080.
The National Research Council recommended both a risk- and performance-based multipollutant approach to air quality management. Specifically, management decisions should be based on minimizing the exposure to, and risk of adverse effects from, multiple sources of air pollution and that the success of these decisions should be measured by how well they achieved this objective. We briefly describe risk analysis and its application within the current approach to air quality management. Recommendations are made as to how current practice could evolve to support a fully risk- and performance-based multipollutant air quality management system. The ability to implement a risk assessment framework in a credible and policy-relevant manner depends on the availability of component models and data which are scientifically sound and developed with an understanding of their application in integrated assessments. The same can be said about accountability assessments used to evaluate the outcomes of decisions made using such frameworks. The existing risk analysis framework, although typically applied to individual pollutants, is conceptually well suited for analyzing multipollutant management actions. Many elements of this framework, such as emissions and air quality modeling, already exist with multipollutant characteristics. However, the framework needs to be supported with information on exposure and concentration response relationships that result from multipollutant health studies. Because the causal chain that links management actions to emission reductions, air quality improvements, exposure reductions and health outcomes is parallel between prospective risk analyses and retrospective accountability assessments, both types of assessment should be placed within a single framework with common metrics and indicators where possible. Improvements in risk reductions can be obtained by adopting a multipollutant risk analysis framework within the current air quality management system, e.g. focused on standards for individual pollutants and with separate goals for air toxics and ambient pollutants. However, additional improvements may be possible if goals and actions are defined in terms of risk metrics that are comparable across criteria pollutants and air toxics (hazardous air pollutants), and that encompass both human health and ecological risks.
美国国家研究委员会建议采用基于风险和绩效的多污染物方法来进行空气质量管理。具体而言,管理决策应基于将多种空气污染来源的暴露程度和不良影响风险降至最低,并且这些决策的成功与否应以其实现这一目标的程度来衡量。我们简要描述风险分析及其在当前空气质量管理方法中的应用。对于当前的做法如何演变以支持一个完全基于风险和绩效的多污染物空气质量管理系统,我们提出了相关建议。以可信且与政策相关的方式实施风险评估框架的能力取决于组件模型和数据的可用性,这些模型和数据在科学上是合理的,并且是在理解其在综合评估中的应用的基础上开发的。用于评估使用此类框架做出的决策结果的问责评估也是如此。现有的风险分析框架虽然通常应用于单一污染物,但在概念上非常适合分析多污染物管理行动。该框架的许多要素,如排放和空气质量建模,已经具有多污染物特征。然而,该框架需要得到多污染物健康研究得出的暴露和浓度响应关系信息的支持。由于将管理行动与减排、空气质量改善、暴露减少和健康结果联系起来的因果链在前瞻性风险分析和回顾性问责评估之间是平行的,因此应尽可能将这两种评估置于一个具有共同指标和指示器的单一框架内。通过在当前空气质量管理系统中采用多污染物风险分析框架,例如专注于单一污染物的标准以及对空气有毒物质和环境污染物设定单独目标,可以实现风险降低方面的改进。然而,如果根据在标准污染物和空气有毒物质(有害空气污染物)之间具有可比性且涵盖人类健康和生态风险的风险指标来定义目标和行动,则可能会有更多改进。