Determinant Factors of nitric oxide and ozone near the elementary schools in Tainan urban area
Date Issued
2012
Date
2012
Author(s)
Chang, Han-Mau
Abstract
The air pollution has become more serious with the booming of urbanization. Many epidemiological studies showed higher occurrence of chronic respiratory diseases in elementary children living near major roads. Therefore, it is important to assess the concentrations and distributions of air pollutants accurately in a timely fashion in these areas and to identify the contributing factors.
Measurements of nitric oxide and ozone in this study were facilitated by the use of ultraviolet differential optical absorption spectroscopy（UV-DOAS）. We selected one elementary school at the south, west central, and east area in Tainan city, respectively. Air quality data, real-time traffic counts, and meteorological information were collected simultaneously at each school for 7 days. The mixed models were used to estimate the effect of traffic and meteorological factors on pollutant concentrations. Additionally, we compared the correlation between the monitored and predicted levels of air pollutants. The conditional probability functions（CPFs） were used to clarify the possible contribution of pollution sources.
Our results showed that the traffic density were 2127 counts/hour, 2674 counts/hour, and 957 counts/hour in south, west-central, and east area, respectively. The concentrations of nitric oxide and ozone were 6.17~56.1 ppb and 5.38~94.43 ppb, 2.75~37.58 ppb and 17.95~117.03 ppb, and 3.09~62.46 ppb and 10.81~76.44 ppb in south, west-central, and east area, respectively. The meteorological factors affected the concentration of air pollutants more significantly than traffic factors. The conditional probability functions（CPFs） showed that the main sources of air pollution in the south district school may come from Anping Industrial area located at its southwest direction. The west central district school may be affected by the traffic at its southwest side. For the east district school, the impact from the traffic emission might be underestimated.
Subjects
air pollution
UV-DOAS
mixed model
CPF
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-101-R96844015-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):dc0b9c80a7e7cebfff6ea0a697f41f4a