;This study combines monitoring data obtained from six automated air-quality monitoring stations operated by Environmental Protection Administration (EPA), as well as emission inventory data derived from Taiwan Emission Data System (TEDS) in Hsinchu City, Hsinchu County and Miaoli County. The objectives of this study are to use these data to assess the performance of air quality control during the last 5 years (2008-2012) and to investigate how the meteorological conditions influence the air quality and pollution episodes. Finally, several suggestions regarding the keys of air pollution control in the future are proposed based on the results, which could expect to serve as guidelines for related organizations to the consolidation of local monitoring stations and the improvement of air quality in Chu-Miao area.
The results can be divided into three different parts. Firstly, the result of emission inventory shows that from 2008 to 2012, industry sector dominates the emission of stationary sources (in which the printed circuit board manufacturing is the highest profile contributor), followed by infrastructure sector, which is also the most important source of road fugitive dust. The pollutants emitted from mobile sources stem mainly from on-road traffic, especially the passenger cars and freight trucks, which should be the focus of emission control in the future. Additionally, the monitoring results demonstrate that the pollution level of all sites varied differently among different time scales. Specifically, there is no obvious trend of declining or rising year by year. Seasonally, air quality in summer is generally fine, but the situation is much worse in winter and spring. The variation of different pollutants becomes quite complex from the standpoint of monthly average. For instance, no distinct fluctuation is observed for SO2, while the concentration of O3 is distributed as double-peaks in April-May and September-October, respectively. Besides, the concentration level of PM appears an abrupt increase between March and April, which can be explained by the influence of long-range transported dust storms originated from mainland China. Moreover, the results obtained also confirm that the sensitivity of a variety of meteorological factors to various pollutants is presented in different patterns. Furthermore, the correlation analysis of PM2.5 against CO、O3、NOx、SO2 is conducted in order to explore the potential link between air quality and mobile/ stationary sources.