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20 4.5 Aviation Environmental 4.7 Community Multi-Scale Design Tool Air Quality Model The Aviation Environmental Design Tool (AEDT), presently The Community Multi-Scale Air Quality Model (CMAQ) under development and testing, is designed to incorporate was developed through a NOAA-EPA partnership and permits and harmonize the existing capabilities of the FAA to model modeling of chemistry and transport of emissions on a re- and analyze noise and emissions. Building on current tools, gional scale to follow a variety of air quality effects, including including EDMS, common modules and databases will allow tropospheric ozone, toxics, acid deposition, and visibility local and global analysis to be completed consistently and degradation. This is accomplished by including robust mod- with a single tool. With this tool, users will be able to analyze eling of the atmospheric physics and chemical reactions. The both current and future scenarios to understand how aviation scale of the model is variable with grid sizes ranging from less affects the environment through noise and emissions on a than 4 km to over 36 km (2.5 miles to over 22.3 mi), depend- local and global scale (FAA Sep 2007). ing on the needs of the analysis (U.S. EPA Sep 19, 2008). 4.6 Aviation Environmental 4.8 Microphysical Models Portfolio Management Tool Microphysical models refer to a class of kinetic models The Aviation Environmental Portfolio Management Tool that follow the formation (nucleation) and evolution of par- (APMT) is currently being developed by the FAA as a com- ticles interacting with condensable gases. Microphysical plement to AEDT to allow tradeoffs between noise and models are often used to simulate atmospheric processes and emissions to be better understood. The tool has three primary are designed to predict cloud properties based on the forma- capabilities, cost effectiveness analysis, benefit-cost analysis, tion and size of the resulting aerosol particles. The same and distributional analysis, computed at a societal level by techniques used to predict water-based clouds in the sky can considering economic and health effects. The AEDT noise be applied to predict the formation of plumes of aerosols and emissions computation modules can be directly exercised and PM in engine exhaust. Microphysical models have been by APMT over a range of scenarios to allow a statistically sig- used to simulate aviation PM evolution both at altitude and nificant result to be produced (FAA 2006). ground level.