https://scholars.lib.ntu.edu.tw/handle/123456789/365463
標題: | Identifying the factors influencing PM2.5 in southern Taiwan using dynamic factor analysis | 作者: | Kuo, Yi-Ming Wang, Sheng-Wei Jang, Cheng-Shin Yeh, Naichia HWA-LUNG YU |
關鍵字: | Aerosol supersite; Dynamic factor analysis; Kaohsiung; PM2.5; Sulfate | 公開日期: | 2011 | 卷: | 45 | 期: | 39 | 起(迄)頁: | 7276-7285 | 來源出版物: | Atmospheric Environment | 摘要: | Several heavily polluted industrial parks are located in the coastal area of Kaohsiung city, which the Taiwan EPA has declared to be the worst air quality region in Taiwan. This research used dynamic factor analysis (DFA) to investigate the source contributions of PM2.5 by monitoring data collected at the four aerosol supersites in Southern Taiwan throughout 2009. Dynamic factor analysis is a technique used to reduce or summarize the dimensions being studied, and is a proven useful technique for this type of study, which handles complex gaseous pollutant conditions. The results of the optimal DFA model showed that PM2.5 concentrations in the Kaohsiung metropolis were primarily influenced by explanatory variables that included sulfate (SO42-), nitrate (NO3-), carbonaceous aerosols, carbon monoxide (CO), sulfate oxides (SO2), nitrate oxides (NO2), and relative humidity (RH). The concentrations were also slightly affected by two common trends representing unexplained variables. Particulate sulfate was the primary variable among the identified explanatory variables. The optimal DFA model satisfactorily accounted for the fluctuations in PM2.5 for the four aerosol supersites (coefficient of efficiency = 0.93). That is, the extreme concentrations of PM2.5 could be successfully described by considering the selected explanatory variables. We used this DFA model successfully to research PM2.5, and future studies concerned with Kaohsiung air quality should consider gaseous pollutants and human activities that our model has identified. © 2011. |
URI: | http://www.scopus.com/inward/record.url?eid=2-s2.0-80755153594&partnerID=MN8TOARS http://scholars.lib.ntu.edu.tw/handle/123456789/365463 |
DOI: | 10.1016/j.atmosenv.2011.08.043 | SDG/關鍵字: | Carbonaceous aerosol; Coastal area; Dynamic factor analysis; Explanatory variables; Gaseous pollutants; Human activities; Industrial parks; Kaohsiung; Relative humidities; Source contributions; Southern taiwan; Sulfate; Air pollution control; Air quality; Atmospheric aerosols; Carbon monoxide; Coastal zones; Fog; Optimization; Parks; Pollution; Sulfur dioxide; Dynamic analysis; carbon monoxide; nitrate; nitrate oxide; sulfate; sulfate oxide; unclassified drug; air quality; atmospheric modeling; atmospheric pollution; coastal zone; data set; factor analysis; human activity; identification method; marine atmosphere; numerical model; particulate matter; pollution monitoring; aerosol; air quality; article; humidity; particulate matter; priority journal; Taiwan; Kaohsiung; Taiwan |
顯示於: | 生物環境系統工程學系 |
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