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CEMPD Home > MODELING APPS

Air Quality Modeling Research and Application

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Advanced Modeling System for Forecasting Regional Development, Travel Behavior, and the Spatial Pattern of Emissions

National Strategy for Environment and Health for the United Arab Emirates (UAE)
Ozone and Charlotte-area roads
Through simulation modeling of land use, transportation, emissions, and air quality, this project funded by the U.S. EPA will determine whether regional development patterns, and market and non-market policy instruments to influence such patterns, can significantly influence the spatial characteristics and quantity of emissions that contribute to tropospheric ozone and fine particulate matter. The fundamental goal of our research which is a joint effort between the UNC Department of City and Regional Planning, Center for Urban and Regional Studies, Institute for the Environment and North Carolina State University, is to rigorously test the hypothesis that alternative development patterns, over a planning horizon of 50 years, can significantly influence the quantity and location of direct and indirect emissions from mobile sources (and hence reduce the levels of tropospheric ozone and fine particulate matter (PM)). The development patterns of interest include the type of development (transit-oriented and dense mixed-use developments, and those supportive of non-motorized transportation modes for non-work trips, etc.) and its location (neo-traditional suburban, new urban core development, redevelopment, etc.). The enhanced link-based emissions inventories developed for Mecklenburg county, NC were then used in the MM5-SMOKE-CMAQ modeling system to study potential improvements in characterization of emissions and then air quality in the region.
Sponsored by: United States Environmental Protection Agency (US EPA)