Ms. Lee has 7 years experience in meteorological and air quality modeling. She has conducted numerous air quality impact studies worldwide using the CALMET/CALPUFF modeling system. Her involvement has included data collection and preparation, model execution, and processing and analyzing the final results. Ms. Lee also has extensive computer programming experience and has developed numerous software packages, including graphical user interfaces coded in Visual Basic and processors coded in FORTRAN. She has performed both historical and real-time forecasts using CALMET/CALPUFF modeling related to the oil spills in the Gulf of Mexico. She designed, developed, and implemented an automated system to prepare real-time forecast results, including plume trajectory plots for multiple scenarios. Ms. Lee has designed, developed, and implemented a real-time PM10 forecast system using the CALMET/CALPUFF modeling system for the highest producing copper mine in the world. This included developing a custom-designed graphical user interface (GUI) to allow end users to view and analyze automated forecast results, as well as to generate and analyze new scenarios on the fly. Several features of the GUI included interactive time-series plots, source contribution tables, and real-time local weather forecasts. Other projects have included dispersion modeling of pollutant emissions from a proposed 600 MW coal-fired power plant in Virginia, herbicide drift, and emergency releases of H2S gas at a gas/oil separation plant.
Performed both historical cumulative and real-time forecast CALMET/CALPUFF modeling related to an oil spill in the Gulf of Mexico. Sources included multiple flares as well as sea-surface fires. Designed, developed, and implemented an automated system to prepare real-time forecast results, including plume trajectory plots for multiple scenarios, which were sent by e mail as PDF reports.
Designed, developed, and implemented a real-time PM10 forecast system using the CALMET/CALPUFF modeling system for the highest producing copper mine in the world. This included developing a custom-designed graphical user interface (GUI) to allow end users to view and analyze automated forecast results, as well as to generate and analyze new scenarios on the fly. Several features of the GUI included interactive time-series plots, source contribution tables, and real-time local weather forecasts.
Participated in CALMET/CALPUFF dispersion modeling of emergency releases of H2S gas at a gas/oil separation plant in Saudi Arabia. Performed post-processing as well as automated plotting of results in Google Earth. Also designed and developed a complete suite of meteorological evaluation and air quality analysis software tools. This included GUIs for wind rose, time series, back trajectory, quantile-quantile, and pollutant rose plotting. The system was custom designed to take the client data format as input.
Performed a Class II near-field air quality study for a proposed coal-fired power plant using the CALMET/CALPUFF modeling system. Several hundred point, area, and volume sources, including coal piles and roadways, were modeled for the facility. Full NAAQS and PSD analyses were completed, involving the modeling of an additional several hundred background sources. In total, several thousand runs were prepared and analyzed. Also performed a meteorological data evaluation.
Performed CALMET/CALPUFF modeling involving aerial application of herbicides. CALPUFF was interfaced downwind of each application to source information computed by AGDISP.
Developed a pre-processor to convert Fire Emission Production Simulator (FEPS) output to a buoyant area source with variable emissions file for input to CALPUFF. Developed a complete GUI and performed a literature review on deposition to determine appropriate values for CO, CH4, and PM2.5. Developed a particulate-matter scavenging coefficient calculator. Developed the Fortran processor METXTRCT to identify days from a direct-access file extracted from CALMET data that meet user-specified criteria such as wind speed and temperature ranges.
Conducted air quality modeling for several aluminum smelting plants for multiple sites and emissions scenarios using the CALMET/CALPUFF model, including preprocessing, setting up and running CALMET and CALPUFF, post-processing, and preparing results. Some sites also required modeling mobile emissions.
Performed statistical analyses of meteorological data from sources including SODAR/RASS, radiosonde, and meteorological towers.
Performed CALMET/CALPUFF modeling and analysis of results for a proposed waste-to-energy facility near the shore east of Dublin, Ireland.
Conducted a visibility impact analysis study of emissions from an existing power plant on a nearby Class I area using the visibility model PLUVUE II. Performed statistical linear correlation analyses to determine the validity of sigma-theta data for use with the air quality dispersion model AERMET/AERMOD. Prepared, set up, and completed AERMET/AERMOD runs for the same study.