A source study of PM in Saxony by Size-Segregated Characterisation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-10

AUTHORS

H. Herrmann, E. Brüggemann, U. Franck, T. Gnauk, G. Löschau, K. Müller, A. Plewka, G. Spindler

ABSTRACT

Airborne particulate matter in Saxony (Germany) was investigated at three different sites (central urban, urban outskirts, rural) during a winter (1999/2000) and a summer (2000) campaign. PM was collected simultaneously at all three sites using five-stage Berner impactors. Besides size-segregated chemical particle characterisation and mass closure source apportionment of the particle components, especially of the carbonaceous fraction was an aim of the study. Source apportionment was performed exclusively on the basis of experimental data without support of models considering a set of basic assumptions and logical deductions. The derived simple equations permit to differentiate the carbonaceous fraction in traffic, domestic heating (winter) and biogenic (summer) contributions. The total carbon (TC) in the smallest particle size range (Dpaer = 0.05-0.14μm) at the urban site, contributing 88% to the mass in that class, was completely attributed to traffic emissions. For the particle size range Dpaer = 0.42-1.2 μm (50-60% of the total mass) TC was attributed to traffic (67%) and domestic heating (33%) in winter and to traffic (82%) and biogenic origin (18%) in summer. Size-segregated determination of alkanes revealed that these compounds were mainly of biogenic origin in summer and of anthropogenic origin in winter considering the carbon preference index (CPIodd). Particulate PAHs found in winter samples originated mainly from domestic heating and not from traffic emissions. The method described cannot provide complete results, but the demonstrated source apportionment can be helpful to assess a given situation with regard to possible steps against the exceeding of the EU limit of the PM10 mass concentration of 50 μg m−3. More... »

PAGES

103-130

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10874-006-9029-7

DOI

http://dx.doi.org/10.1007/s10874-006-9029-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044777885


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Download the RDF metadata as:  json-ld nt turtle xml License info

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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10874-006-9029-7'

N-Triples is a line-based linked data format ideal for batch operations.

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10874-006-9029-7'


 

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