| 英文摘要 |
To evaluate population’s exposure to ambient fine particulate matters（PM2.5） among residents in the Kaohsiung metropolitan area, we collected PM2.5 filter samples at different locations. These sampling sites were chosen based on population density, spatial distribution, microenvironmental characteristic, and building storey height. A total of 20, 5, and 5 samples were collected at the low, medium, and high elevations, respectively, during the three-month field campaign for two seasons. Each sample was collected over a two-week period. The average PM2.5 mass concentration is 33.4 μg/m3 and a concentration gradient was observed with higher concentration at lower elevation. The regression model showed that PM2.5 data at the air quality monitoring （AQM） stations has a relativelygood correlation with the microenvironmental monitoring results （Adjusted R2=0.59）. With regard to the land use regression models, the buffer analysis in GIS was first applied to obtain the required predicting variables which are used to estimate microenvironmental PM2.5 concentation, such as population number, the length of road and land use area. Based on the EU study protocol, three variables were included in the final models: the length of major roads in the buffer of 100 meters, elevation（low, median and high floor）, and the discontinuous urban fabric in the buffer of 1000 meters. The R2 of this model is 0.29, in the low range of the values （0.17~0.73）obtained from studies conducted in other countries. In this report, the analytic methods of elemental constituents (by XRF) and inorganic salts (by IC) are established. The feasibility of these methods is also evaluated accordingly. The analytic results show that the concentrations of PM elemental constituents and inorganic salts at the traffic sites are higher than those at the urbanground sites.Furthermore, the concentrations of inorganic salts have large spatial variations.
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