| Summary: | 碩士 === 中國醫藥學院 === 環境醫學研究所 === 89 === The purpose of the study is to assess the relationship of the concentration of NOx and NO2 and the population in Taichung, Salu area. In the future, we hope these data would be the foundation of the research on NOx and NO2 related or induced respiratory system illness.
The NOx and NO2 concentration were measured from October 1999 to September 2000. Samples were carried by students who were 13- or 14-year-old from four junior high schools. Twelve students were randomly selected from each school with a total of 48 students. The 24 hours NOx and NO2 levels were monitored to each person by Ogawa sampler, which was carried by the person, put inside and outside of the house. These participants also filled out questionnaires. These data were analyzed by a 545nm ultraviolet spectrophotometer. The relative linear correlation was greater than 0.995. The reproducible showed the coefficient of variation was smaller than five percent. The lowest level should be 0.0062ug/ml.
The results showed that a person who was exposured to NO2 had a average level of 36 ppb, 40 ppb indoor and 41 ppb outdoor. For NOx, a person would have an average level of 65 ppb, 66 ppb indoor and 63 ppb outdoor. The NO concentration was 29, 26 and 23 ppb, respectively. Regression models were calculated to estimate the relationship between personal-indoor and personal-outdoor. The data presents the correlation was highly significant (p＜0.01). The differences of the indoor NO2 levels between smoking, gas-cooking were highly significant（p＜0.05）. Analyzing the result with Chi-square test, it showed that ventilation of the room, activity characters and sources of pollution were significantly related（p＜0.05）. Moreover, when using regression model to analyze the relationship between those three items and indoor NO2 level, the result also represented they were highly related（p＜0.05）.
When being exposed to different kinds of environment, people will receive different NOx and NO2 concentrations. This investigation could contribute to research on respiratory system illness.
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