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The application of hierarchical cluster analysis and non-negative matrix factorization to European atmospheric monitoring site classification

机译:层次聚类分析和非负矩阵分解在欧洲大气监测站点分类中的应用

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The effective classification of atmospheric monitoring sites within a network allows conclusions from measurements to be extrapolated beyond the confines of the site itself and applied to larger areas or populations. This is especially important for the European EMEP 'supersites' because these are relatively few in number yet are subject to much investment in composition monitoring capability. Here, the representativeness of the two UK EMEP supersites, Auchencorth and Harwell, was evaluated using the hierarchical cluster analysis (HCA) of all available EMEP monitoring sites based on measured ozone concentration datasets for the period 1991-2010. A novel feature was to apply non-negative matrix factorization (NMF) to order the sites within the HCA dendrograms according to the relative anthropogenic influence on ozone. The ordered dendrograms enabled UK sites to be placed more precisely in a European context. For 2007-2010, all 19 UK EMEP sites were assigned to two of the site classification clusters, with 17 of the sites grouping closely with each other in each cluster. Auchencorth clustered with the sites characterised by less modification of hemispheric background ozone levels, whilst Harwell grouped with the sites showing a more polluted regime. A similar grouping of sites occurred between 1991 and 2010, with relatively closer clustering of Polluted UK sites compared with Remote UK sites due to the larger, transboundary spatial domain for which the Remote UK sites are representative. This tight clustering of the majority of the other UK ozone monitoring sites with either one of the supersites, shows that UK background ozone conditions are well represented by Auchencorth and Harwell, and gives confidence that more extensive chemical climatologies developed for the two supersites will have wider geographical relevance.
机译:在网络中对大气监测站点进行有效分类,可以将测量得出的结论外推到站点本身的范围之外,并应用于更大的区域或人口。这对于欧洲EMEP“超级站点”尤其重要,因为这些站点的数量相对较少,但在成分监测功能方面需要大量投资。在此,基于所有可用的EMEP监测站点,基于1991-2010年期间测得的臭氧浓度数据集,使用层次聚类分析(HCA)对英国的两个EMEP超级站点(Auchencorth和Harwell)的代表性进行了评估。一种新功能是根据对臭氧的相对人为影响,应用非负矩阵分解(NMF)来排序HCA树状图中的位点。有序的树状图使英国站点可以更精确地放置在欧洲范围内。在2007年至2010年期间,英国的所有19个EMEP站点都被分配到两个站点分类集群中,其中17个站点在每个集群中彼此紧密分组。 Auchencorth聚集了以半球本底臭氧水平变化较小为特征的地点,而Harwell聚集了显示出污染程度更大的地点。在1991年至2010年之间发生了类似的站点分组,由于远程英国站点所代表的跨界空间域较大,与远程英国站点相比,受污染英国站点的聚类相对更近。英国其他大多数臭氧监测站点与一个超级站点之间的紧密联系表明,本底臭氧条件由Auchencorth和Harwell很好地代表,并且使人有信心为这两个超级站点开发的更广泛的化学气候将具有更广阔的范围地理相关性。

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