What We Do

The Computational Exposure Division (CED) develops and evaluates data, decision-support tools and models to be applied to media-specific or receptor-specific problem areas. Scientists use modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. CED scientists:

• Develop modeling tools needed to support implementation of the Clean Air, Clean Water, Safe Drinking Water, and Endangered Species Acts;
• Evaluate the accuracy and reliability of modeling tools that characterize changes in meteorology, air quality, pollutant deposition, and watershed biogeochemistry, as well as ecological and human exposures in response to changes in land use and climate change;
• Support environmental diagnostics and forensics with input from multiple data sources;
• Develop receptor-specific models, process models and decision support tools; and
• Develop, apply and evaluate models that estimate human exposure to environmental contaminants and the resulting internal dose.

Programs and projects managed by the Computational Exposure Division (CED):

• Better Assessment Science Integrating Point and Non-point Sources (BASINS)
• Community Multiscale Air Quality Modeling System (CMAQ)
• Virtual Beach
• Visual Environment for Rich Data Interpretation (VERDI)
• Probabilistic Reverse dOsimetry Estimating Exposure Distribution (PROcEED)
• Community-LINE Source Model (C-LINE) to estimate roadway emissions
• Fertilizer Emission Scenario Tool
• Watershed Deposition Tool
• Atmospheric Model Evaluation Tool for meteorological and air quality simulations
• Chemical and Product Categories Database (CPCat)

Organization

Lindsay Stanek, Interim Director