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首页> 外文期刊>Atmospheric environment >Management of air quality monitoring using principal component and cluster analysis-Part Ⅱ: CO, NO_2 and O_3
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Management of air quality monitoring using principal component and cluster analysis-Part Ⅱ: CO, NO_2 and O_3

机译：基于主成分和聚类分析的空气质量监测管理-第二部分：CO，NO_2和O_3

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The aim of this study was to evaluate the performance of two statistical methods, principal component analysis (PCA) and cluster analysis (CA), for the management of air quality monitoring network (AQMN) of Oporto Metropolitan Area (Oporto-MA). The specific objectives were: (ⅰ) to identify city areas with similar air pollution behaviours; and (ⅱ) to locate emission sources. The statistical methods were applied to the mass concentrations of carbon monoxide (CO), nitrogen dioxide (NO_2) and ozone (O_3), collected in the AQMN of Oporto-MA from January 2003 to December 2005. It was demonstrated that for each pollutant the monitoring sites are grouped into different classes based on their air pollution behaviour. The sites were divided: (ⅰ) into three different groups for CO and for NO_2 and (ⅱ) into two groups for O_3. It was also found that several monitoring sites covered city areas characterized by the same specific air pollution behaviour, suggesting then an ineffective management of the air quality-monitoring system. The redundant equipment should be transferred to other monitoring sites allowing enlargement of the monitored area. The conclusions obtained with the statistical methods were supported by the location of main emission sources through the analysis of the wind direction. Four main emission sources of CO and NO_2 were located. Additionally, it was concluded that the sea wind had an important contribution towards the increase in the O_3 concentration. For all pollutants, two sites were always coupled in one group due to the different air pollution behaviour presented in the analysed period.
机译：这项研究的目的是评估两种统计方法的性能，主成分分析（PCA）和聚类分析（CA），用于管理波尔图都会区（Oporto-MA）的空气质量监测网络（AQMN）。具体目标是：（ⅰ）确定具有相似空气污染行为的城市地区； （ⅱ）定位排放源。统计方法适用于2003年1月至2005年12月在波尔图-马萨诸塞州AQMN中收集的一氧化碳（CO），二氧化氮（NO_2）和臭氧（O_3）的质量浓度。监测地点根据其空气污染行为分为不同的类别。这些位点被分为：（ⅰ）对于CO和NO_2分为三个不同的组，并且（ⅱ）对于O_3分为两组。还发现，有几个监测点覆盖了以相同的特定空气污染行为为特征的城市地区，这表明对空气质量监测系统的管理不力。冗余设备应转移到其他监视站点，以扩大监视区域。通过统计方法得出的结论通过对风向的分析得到了主要排放源位置的支持。确定了CO和NO_2的四个主要排放源。此外，得出的结论是，海风对O_3浓度的增加有重要贡献。对于所有污染物，由于在分析期间呈现出不同的空气污染行为，所以两个站点始终被组合在一起。

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