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Titel |
Identifying urban sources as cause of elevated grass pollen concentrations using GIS and remote sensing |
VerfasserIn |
C. A. Skjøth, P. V. Ørby, T. Becker, C. Geels, V. Schlünssen, T. Sigsgaard, J. H. Bønløkke, J. Sommer, P. Søgaard, O. Hertel |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1726-4170
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Digitales Dokument |
URL |
Erschienen |
In: Biogeosciences ; 10, no. 1 ; Nr. 10, no. 1 (2013-01-29), S.541-554 |
Datensatznummer |
250017488
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Publikation (Nr.) |
copernicus.org/bg-10-541-2013.pdf |
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Zusammenfassung |
We examine here the hypothesis that during flowering, the grass pollen
concentrations at a specific site reflect the distribution of grass pollen
sources within a few kilometres of this site. We perform this analysis on
data from a measurement campaign in the city of Aarhus (Denmark) using three
pollen traps and by comparing these observations with a novel inventory of
grass pollen sources. The source inventory is based on a new methodology
developed for urban-scale grass pollen sources. The new methodology is
believed to be generally applicable for the European area, as it relies on
commonly available remote sensing data combined with management information
for local grass areas. The inventory has identified a number of grass pollen
source areas present within the city domain. The comparison of the measured
pollen concentrations with the inventory shows that the atmospheric
concentrations of grass pollen in the urban zone reflect the source areas
identified in the inventory, and that the pollen sources that are found to
affect the pollen levels are located near or within the city domain. The
results also show that during days with peak levels of pollen concentrations
there is no correlation between the three urban traps and an operational trap
located just 60 km away. This finding suggests that during intense
flowering, the grass pollen concentration mirrors the local source
distribution and is thus a local-scale phenomenon. Model simulations aimed at
assessing population exposure to pollen levels are therefore recommended to
take into account both local sources and local atmospheric transport, and not
to rely only on describing regional to long-range transport of pollen. The
derived pollen source inventory can be entered into local-scale atmospheric
transport models in combination with other components that simulate pollen
release in order to calculate urban-scale variations in the grass pollen
load. The gridded inventory with a resolution of 14 m is therefore made
available as supplementary material to this paper, and the verifying grass
pollen observations are additionally available in tabular form. |
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