研究期間：10108~10207;The O3 problem in Taiwan is significant and can be either locally produced or long-range transported (LRT) from other locations in East and South East Asia. The accurate prediction of the air quality modeling in Taiwan is strongly reliant on the quality of meteorological and emission inputs data. The turbulence vertical diffusion process is tightly linked to the land surface processing, land-air energy exchanging, and turbulence mixing processes, that is also a key meteorological physical process redistributing the air pollutants in the planetary boundary layer (PBL). Though, the turbulence vertical diffusion processes is still uncertain for air quality modeling. In this study, one of the objectives is to evaluate the modeled diagnostic PBL height, and assess its significance on Taiwan’s air pollution modeling, as well as other PBL physical processes. The simulation result will be compared with the datasets collected during the Seven SouthEast Asian Studies (7-SEAS) experimental campaign, as well as several flux measurement datasets, to understand the current modeling limitation and research on the improvement of boundary layer parameterizations. Ultimately, to develop a mixing layer scheme that is suitable for air quality simulations. In addition to the meteorological doubts, the uncertainties due to the emission inputs data are even critical. The uncertainties are arising from the amounts of the reported emission inventory, particularly for the emission sources from outside the country such as East and South East Asia. To quantify the uncertainties of the emission inputs on Taiwan’s air quality simulation, we will apply the Decoupled Direct Method within Community Multiscale Air Quality (CMAQ-DDM) modeling to understand the uncertainties of the emission inputs on Taiwan’s air quality simulation problems. The objectives are to quantify and characterize the impacts of NOx and VOC emissions from different source regions on Taiwan’s air quality simulation. The study period targets the springtime season from 2007 to 2011 in correspondence to the 7-SEAS experiment. The Weather Research Forecasting (WRF) model and CMAQ will be utilized as a major meteorological and air quality modeling.
