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| Titel |
Novel application of satellite and in-situ measurements to map surface-level NO2 in the Great Lakes region |
| VerfasserIn |
C. J. Lee, J. R. Brook, G. J. Evans, R. V. Martin, C. Mihele |
| 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 ; 11, no. 22 ; Nr. 11, no. 22 (2011-11-24), S.11761-11775 |
| Datensatznummer |
250010219
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| Publikation (Nr.) |
 copernicus.org/acp-11-11761-2011.pdf |
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| Zusammenfassung |
| Ozone Monitoring Instrument (OMI) tropospheric NO2 vertical
column density data were used in conjunction with in-situ NO2
concentrations collected by permanently installed monitoring stations
to infer 24 h surface-level NO2 concentrations at
0.1° (~11 km) resolution. The region examined included
rural and suburban areas, and the highly industrialised area of
Windsor, Ontario, which is situated directly across the US-Canada
border from Detroit, MI. Photolytic NO2 monitors were
collocated with standard NO2 monitors to provide qualitative
data regarding NOz interference during the campaign. The
accuracy of the OMI-inferred concentrations was tested using two-week integrative
NO2 measurements collected with passive monitors at 18
locations, approximating a 15 km grid across the region, for 7
consecutive two-week periods. When compared with these passive
results, satellite-inferred concentrations showed an 18% positive
bias. The correlation of the passive monitor and OMI-inferred
concentrations (R=0.69, n=115) was stronger than that for
the passive monitor concentrations and OMI column densities
(R=0.52), indicating that using a sparse network of monitoring
sites to estimate concentrations improves the direct utility of the
OMI observations. OMI-inferred concentrations were then calculated for
four years to show an overall declining trend in surface NO2 concentrations in the region. Additionally, by separating OMI-inferred
surface concentrations by wind direction, clear patterns in emissions
and affected down-wind regions, in particular around the US-Canada
border, were revealed. |
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