碩士 / 東海大學 / 國際經營與貿易學系 / 107 / In recent years, with vigorous economic development, the prosperous business activities have caused severe air pollution, which has seriously damages our health. In view of this, we use the hourly data from 2015 to 2018 of ten of the EPD air quality monitoring stations in Taiwan (Dali, Xitun, Shalu, Zhongming, Fengyuan, Xianxi, Puli, Sanyi, Matsu and Yonghe stations) to explore the impact of various environmental factors on PM2.5 concentration.
We use the Catmull-Rom spline method and the linear interpolation method to interpolate missing values, and then perform unit root tests to check the stationarity of the data. Since the PM2.5 concentration was divided into four levels, we use the ordered logistic regression method to estimate the relationships between the PM2.5 concentration levels and the environmental factors.
The empirical results are as follows：
1. Chemical factors： (1) PM2.5 concentration level is positively related to PM10 concentration for all stations. (2) PM2.5 concentration level is positively related to SO2 for all stations except for Puli station. (3) Except Sanyi, Matsu, and Xianxi station, PM2.5 concentration level is negatively related to NO for the other seven stations. (4) Except Dali, Zhongming, and Puli station, PM2.5 concentration level is positively related to NO2 for the other seven stations. (5) PM2.5 concentration level is positively related to CO for all stations except for Dali station. (6) PM2.5 concentration level is positively related to O3 for all stations.
2. Meteorological factors： (1) Except Shalu, Fengyuan, and Sanyi station, the relation between PM2.5 concentration and temperature for the other seven stations presents a U shape pattern. (2) Except Dali, Shalu, Fengyuan, Puli, and Matsu station, the relation between PM2.5 concentration and wind speed for the other five stations presents a U shape pattern. (3) Except Dali, Xitun, and Sanyi station, PM2.5 concentration level is positively related to relative humidity for the other seven stations.
3. PM2.5 concentration level is higher during the northeast monsoon for Dali, Zhongming, Fengyuan, Puli, Matsu, and Yonghe station, while it is lower during the northeast monsoon for Xianxi, Xitun, Shalu, and Sanyi station.
| Identifer | oai:union.ndltd.org:TW/107THU00323007 |
| Date | January 2019 |
| Creators | Gu, ZI-MING, 顧子明 |
| Contributors | Lin, Jwu-Rong, Hsieh,Chun-Kuei, 林灼榮, 謝俊魁 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 108 |
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