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

Malley, Christopher S.; Braban, Christine F. ORCID: https://orcid.org/0000-0003-4275-0152; Heal, Mathew R.. 2014 The application of hierarchical cluster analysis and non-negative matrix factorization to European atmospheric monitoring site classification. Atmospheric Research, 138. 30-40. 10.1016/j.atmosres.2013.10.019

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Official URL: http://dx.doi.org/10.1016/j.atmosres.2013.10.019

Abstract/Summary

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 placedmore 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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/j.atmosres.2013.10.019
Programmes:	CEH Topics & Objectives 2009 - 2012 > Biogeochemistry
UKCEH and CEH Sections/Science Areas:	Dise
ISSN:	0169-8095
Additional Keywords:	ozone, EMEP monitoring sites, cluster analysis, non-negative matrix factorisation
NORA Subject Terms:	Ecology and Environment Atmospheric Sciences
Date made live:	11 Mar 2014 13:14 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/20769

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1016/j.atmosres.2013.10.019

Programmes:

CEH Topics & Objectives 2009 - 2012 > Biogeochemistry

UKCEH and CEH Sections/Science Areas:

Dise

ISSN:

0169-8095

Additional Keywords:

ozone, EMEP monitoring sites, cluster analysis, non-negative matrix factorisation