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Lenschow approach

Table 2 Results from source apportionment studies applying the Lenschow approach ... Table 2 Results from source apportionment studies applying the Lenschow approach ...
Industrial emissions may contribute significantly to the PM10 burden at selected receptor sites as was also shown using the Lenschow approach. To a large part this assessment is due to the assignment of measured secondary aerosol components to industrial emissions of sulphur dioxide and nitrogen oxides which are not produced locally. Statistical receptor models like PMF, on the other hand, are able to identify local industrial impacts which can be seen in elevated levels of trace compounds, but hardly attribute secondary aerosol compounds to any specific industrial source. For example, a PMF study was carried out for a receptor site located a few... [Pg.212]

The most simple and widely used spatial increment approach compares concentration levels measured in different environments, assuming that the actual level at a given site is the sum of emissions released on regional, urban, and local scales (cf. Fig. 2). Hence, by calculation of the spatial increments (e.g. traffic-urban background, urban background-rural background) basic assessments of the shares of emissions from the different source areas can be obtained. This approach constitutes the first step within a source apportionment method first proposed by Lenschow et al. [3]. [Pg.197]

Fig. 2 Illustration of the spatial increment approach according to Lenschow et al. [3]... Fig. 2 Illustration of the spatial increment approach according to Lenschow et al. [3]...

See other pages where Lenschow approach is mentioned: [Pg.196]    [Pg.198]    [Pg.202]    [Pg.196]    [Pg.198]    [Pg.202]    [Pg.206]    [Pg.93]   
See also in sourсe #XX -- [ Pg.195 , Pg.198 ]




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