作者: Chung-Yih Kuo , Fang-Ching Cheng , Shih-Yu Chang , Chuan-Yao Lin , Charles C.K. Chou
DOI: 10.1080/10962247.2012.762813
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摘要: There are four types of PM10 (particulate matter with an aerodynamic diameter <10 μm) episodes that occur frequently in central Taiwan: long-range transport dust storms (DS), frontal pollution (FP), river (RD), and stagnant weather (SW). During the periods episodes, poor visibility usually results. Multiple linear regression was applied to using eight potential influential variables (temperature, relative humidity, wind speed, PM2.5, PM2.5–10, SO2, NO2, NO) as independent variables. Of variables, PM2.5 showed greatest explainable percentage about 48.6% 58.1% for Taichung Wuchi stations, respectively. This suggested most important contributor reduced visibility. Compared other type aerosols tended be fine size during SW episodes. is main reason poorest occurred Good correlation between secondary inor...