(234p) Impact of Meteorology Datasets on Near Roadway Dispersion Model Estimates
In this study we employ a Gaussian plume dispersion model, R-LINE, to simulate near road concentrations using both station data and Weather Research and Forecasting model (WRF) estimates. R-LINE simulates the dispersion from line sources by numerically integrating point source emissions along multiple road configurations. We evaluate the seasonal and diurnal variability of roadway dispersion for both of the meteorological input datasets and compare the model estimates. As we found fairly substantial differences in model estimates for the two input datasets, we also explore R-LINEâ??s sensitivity to different meteorological parameters in both stable and unstable atmospheric conditions for multiple locations in Connecticut. This study illustrates and quantifies how R-LINEâ??s estimates vary based on the use of different sources of meteorological inputs.