Complete and comprehensive air quality data and trend information are very important for authorities to plan air pollution control strategies and evaluate the effectiveness. Air quality monitoring system is the major method used to understand ambient air quality status. Since Taiwan air quality monitoring network has been setup for years, the characteristics of pollutant emission and meteorological condition are different from before, because human activity and pollution emission pattern have been changed since the deployment of monitoring stations, and therefore the special-temporal ozone concentration distribution may also change. The main objectives of this research are using model simulation to investigate the ozone characteristic relations between air quality monitoring stations and vicinal basin area. This project utilized Taiwan Air Quality Model (TAQM) to simulate ozone concentration distribution of North, Jhu-Miao, and Yilan, air quality basin areas. The objectives of this project are to compare the difference of ozone concentration distribution of air quality monitoring network within related air quality area. Based upon the simulation results and analysis, some conclusions are summarized as following. The first: because the elapsed time of high ozone concentration is short in northern Taiwan, the criteria to select episodes could be different from that in central or southern Taiwan. The second: regional ozone episode could happen when at high pressure/warm front, low wind speed, low cloud cover, and strong solar incidence. The third: area with high ozone concentration is smaller compared with central or southern Taiwan, and it is usually within one air basin. The fourth: the standard deviation of the concentration distribution is small. The fifth: the hot spot of episode I and II is in North air basin, however, that of episode III and IV is in Jhu-Miao air basin. The sixth: reducing NOx emission in greater Taipei area could have negative impact to the ozone problem locally; however it could improve the surrounding air basins. Compared with the results in previous year study, in episode events, the cover area and elapsed time of high concentration ozone in northern Taiwan were smaller and shorter than that in central and southern Taiwan. Since the emission sources and geological characteristics are unlike in different air basins, the control strategies, effectiveness, and impacted areas are also various. Finally, three suggestions were proposed. First, the updated Taiwan Emission Data System (TEDS) can be used to simulate the air quality after they are verified. Second, the whole-Taiwan-wide area and trans-boundary impact can also be simulated. Third, further study extended to other pollutants, such as aerosols, is suggested to estimate the relation between the total air quality and the air quality monitoring network in the future.

ozone,monitoring network,air quality