Institute for Chemical and Bioengineering, ETH Zurich, Zurich, Switzerland.
Integr Environ Assess Manag. 2012 Oct;8(4):703-8. doi: 10.1002/ieam.1299. Epub 2012 Mar 29.
Multimedia mass balance models of chemical fate in the environment have been used for over 3 decades in a regulatory context to assist decision making. As these models become more comprehensive, reliable, and accepted, there is a need to recognize and adopt principles of Good Modeling Practice (GMP) to ensure that multimedia models are applied with transparency and adherence to accepted scientific principles. We propose and discuss 6 principles of GMP for applying existing multimedia models in a decision-making context, namely 1) specification of the goals of the model assessment, 2) specification of the model used, 3) specification of the input data, 4) specification of the output data, 5) conduct of a sensitivity and possibly also uncertainty analysis, and finally 6) specification of the limitations and limits of applicability of the analysis. These principles are justified and discussed with a view to enhancing the transparency and quality of model-based assessments.
多媒体环境化学物质归趋的物质平衡模型在监管环境中已被使用了超过 30 年,以协助决策制定。随着这些模型变得更加全面、可靠和被接受,需要认识并采用良好建模实践(GMP)原则,以确保多媒体模型的应用具有透明度,并遵守公认的科学原则。我们提出并讨论了在决策背景下应用现有多媒体模型的 6 项 GMP 原则,即 1)指定模型评估的目标,2)指定使用的模型,3)指定输入数据,4)指定输出数据,5)进行敏感性分析,并且可能还进行不确定性分析,最后 6)指定分析的局限性和适用范围。这些原则的合理性和讨论旨在提高基于模型的评估的透明度和质量。