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Interpretation Of Air Quality In Relation To Monitoring Station's Surroundings

机译:与监测站周围环境有关的空气质量解释

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This study explores the appropriateness of the locality of air monitoring stations which are meant to indicate air quality in the area. Daily variations in NO_2 and PM_(10) concentrations at 14 monitoring stations in Hong Kong are examined. The daily variations in NO_2 at a number of background monitoring stations exhibit patterns similar to variations in traffic volume while variations in PM_(10) concentration exhibit less discernible pattern. Principal component analysis (PCA) and cluster analysis (CA) are applied to analyse NO_2 and PM_(10) measurements between January 2001 and December 2005. The results show that NO_2 concentrations at background stations within the urban area are highly influenced by vehicle emissions. The effect vehicle emission has on NO_2 at stations within new towns is smaller. CA results also show that variations in PM_(10) concentrations are distinguished by the area the station is located in. PCA results show that there are two principal components (PC's) associated with variations in roadside concentration of PM_(10). The strong influence of roadside emissions towards concentrations of NO_2 and PM_(10) at a number of urban background stations may be due to their close proximity to busy roadways and the high density of surrounding tall buildings, which creates an enclosure that hinders dispersion of roadside emissions and results in air pollution behaviour that reflects variation in traffic.
机译:这项研究探索了空气监测站所在地的适当性,以表明该地区的空气质量。研究了香港14个监测站NO_2和PM_(10)浓度的每日变化。在许多背景监测站,NO_2的每日变化呈现出与交通量变化相似的模式,而PM_(10)浓度的变化呈现出可辨别的模式。应用主成分分析(PCA)和聚类分析(CA)分析2001年1月至2005年12月之间NO_2和PM_(10)的测量结果。结果表明,市区内背景站的NO_2浓度受车辆排放的影响很大。在新市镇,机动车排放对NO_2的影响较小。 CA结果还表明,PM_(10)浓度的变化由站点所在区域区分。PCA结果表明,有两个主要成分(PC's)与PM_(10)的路边浓度变化相关。在许多城市背景站,路边排放物对NO_2和PM_(10)浓度的强烈影响可能是由于它们靠近繁忙的道路以及周围高大建筑物的高密度,从而形成了阻碍路边分散的封闭环境排放并导致反映交通变化的空气污染行为。

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