Good modeling practice guidelines for applying multimedia models in chemical assessments

Area of Science:

• Environmental Science
• Chemical Risk Assessment
• Computational Modeling

Background:

• Multimedia mass balance models are crucial for assessing chemical fate in the environment.
• These models have been utilized for over 30 years in regulatory decision-making.
• Increasing model complexity necessitates standardized practices for reliable application.

Purpose of the Study:

• To propose and discuss six principles of Good Modeling Practice (GMP) for applying environmental multimedia models.
• To enhance transparency and scientific rigor in model-based environmental assessments.
• To ensure consistent and reliable use of models in regulatory contexts.

Main Methods:

• Development of six core principles for Good Modeling Practice (GMP).
• Focus on the application of existing multimedia models for decision-making.
• Justification and discussion of each GMP principle.

Main Results:

• Six proposed GMP principles: goal specification, model specification, input data specification, output data specification, sensitivity/uncertainty analysis, and defining limitations.
• These principles aim to improve the transparency and quality of model-based assessments.
• The principles provide a framework for the responsible application of environmental models.

Conclusions:

• Adherence to Good Modeling Practice (GMP) is essential for robust environmental modeling.
• Implementing these principles ensures that multimedia models are used transparently and scientifically.
• GMP enhances the credibility and utility of model assessments in regulatory and decision-making processes.