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Titel |
Assessment of parameters describing representativeness of air quality in-situ measurement sites |
VerfasserIn |
S. Henne, D. Brunner, D. Folini, S. Solberg, J. Klausen, B. Buchmann |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1680-7316
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Digitales Dokument |
URL |
Erschienen |
In: Atmospheric Chemistry and Physics ; 10, no. 8 ; Nr. 10, no. 8 (2010-04-16), S.3561-3581 |
Datensatznummer |
250008358
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Publikation (Nr.) |
copernicus.org/acp-10-3561-2010.pdf |
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Zusammenfassung |
The atmospheric layer closest to the ground is strongly influenced by
variable surface fluxes (emissions, surface deposition) and can
therefore be very heterogeneous. In order to perform air quality
measurements that are representative of a larger domain or a certain
degree of pollution, observatories are placed away from population
centres or within areas of specific population density. Sites are
often categorised based on subjective criteria that are not uniformly
applied by the atmospheric community within different administrative
domains yielding an inconsistent global air quality picture. A novel approach for
the assessment of parameters reflecting site representativeness is
presented here, taking emissions, deposition and transport towards 34
sites covering Western and Central Europe into account. These
parameters are directly inter-comparable among the sites and can be
used to select sites that are, on average, more or less suitable for
data assimilation and comparison with satellite and model
data. Advection towards these sites was simulated by backward
Lagrangian Particle Dispersion Modelling (LPDM) to determine the
sites' average catchment areas for the year 2005 and advection times of
12, 24 and 48 h. Only variations caused by emissions and
transport during these periods were considered assuming that these
dominate the short-term variability of most but especially short lived
trace gases. The derived parameters describing representativeness were
compared between sites and a novel, uniform and
observation-independent categorisation of the sites based on
a clustering approach was established. Six groups of European
background sites were identified ranging from generally remote to
more polluted agglomeration sites. These six categories explained 50 to 80% of
the inter-site variability of median mixing ratios and their standard
deviation for NO2 and O3, while differences between
group means of the longer-lived trace gas CO were
insignificant. The derived annual catchment areas strongly depended on
the applied LPDM and input wind fields, the catchment settings and the
year of analysis. Nevertheless, the parameters describing representativeness
showed considerably less variability than the catchment geometry,
supporting the applicability of the derived station categorisation. |
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