Hello,
I am trying to do simulations to predict the dispersion of shipping emissions in coastal cities, such as Singapore. We can get meteorological data, geographic data, ship traffic data and some other data. We would like to use these information to predict the real-time concentrations of some pollutants, such as PM, NOx and SO2 etc, in some locations where the emissions can be measured. We tried some dispersion models, such as ADMS and AEROMOD, but they can only do steady-state study. So we would like to ask if WRF/CHEM can solve our problem? Thank you.
I am trying to do simulations to predict the dispersion of shipping emissions in coastal cities, such as Singapore. We can get meteorological data, geographic data, ship traffic data and some other data. We would like to use these information to predict the real-time concentrations of some pollutants, such as PM, NOx and SO2 etc, in some locations where the emissions can be measured. We tried some dispersion models, such as ADMS and AEROMOD, but they can only do steady-state study. So we would like to ask if WRF/CHEM can solve our problem? Thank you.