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|標題:||Factors affecting suspended particulate matter (PM10) - A case study of traffic air quality monitoring stations in Taiwan
|關鍵字:||懸浮微粒;迴歸分析;PM10;Suspended particles matter;Regression analysis;PM10||Project:||水土保持學報, Volume 47, Issue 1, Page(s) 1235-1246.||摘要:||
Recently, suspended particulate matter with a diameter of less than 10 μ m (PM10) is a current urban air pollution issue due to its ability to cause human health including respiratory symptoms. PM10 which mostly affecting urban areas is emitted from various sources in particular the transportation sectors. In this paper, statistical approaches were applied for identifying the influential factors and predicting urban PM10 concentrations in the traffic areas. Daily records for air quality and meteorological data from four ambient air quality monitoring sites in Taiwan were collected and screened. Pearson correlation coefficient was applied to explore concentrations, which shows PM10 having a strongly relationship with chemical pollutants than meteorological factors particularly in the rush hours. In addition, the multiple linear regression models were also developed to predict the suspended particles.
|Appears in Collections:||第47卷 第01期|
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