Updated March 3, 2021
Please email me for more information about the courses.
Basics of Air Quality Modeling: theory and hands-on using AERSCREEN
Large data analyses using R (RStudio) and Matlab.
Steady-state air pollution dispersion modeling (AERSCREEN, AERMOD, CALPUFF).
Meteorology (wind speed and direction, temperature, and relative humidity) dataset. (via Weather Underground)
PM10 and PM2.5 sampling using gravimetric sampling (MiniVol).