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<RECORDS>

<RECORD>
	
<TITLE>Complexity analysis in particulate matter measurements</TITLE>           
<AUTHORS>
	
<AUTHOR>Luciano Telesca, Michele Lovallo</AUTHOR>
	
</AUTHORS>

	
<JOURNAL>Computational Ecology and Software</JOURNAL>
	
<ISSN>ISSN 2220-721X</ISSN>     
<YEAR>2011</YEAR>
	
<VOLUME>1(3)</VOLUME>
	
<PAGES>146-152</PAGES>
	
<DATE>09/2011</DATE>
	
<PUBLISHER>International Academy of Ecology and Environmental Sciences</PUBLISHER>

<KEYWORDS>
		
<KEYWORD>particulate matter</KEYWORD>
		
<KEYWORD>Fisher information measure</KEYWORD>
		
<KEYWORD>Shannon entropy</KEYWORD>
		
</KEYWORDS>
	
<ABSTRACT>We investigated the complex temporal fluctuations of particulate matter data recorded in London area by using the Fisher-Shannon (FS) information plane. In the FS plane the PM10 and PM2.5 data are aggregated in two different clusters, characterized by different degrees of order and organization. This results could be related to different sources of the particulate matter.
</ABSTRACT>
	
<DOI>DOI 10.0000/issn-2220-721x-compuecol-2011-v1-0017</DOI>
<URL>http://www.iaees.org/publications/journals/ces/articles/2011-1(3)/Complexity-analysis-in-particulate-matter-measurements.pdf</URL>

</RECORD>

</RECORDS>
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