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Titel |
Design of a mobile aerosol research laboratory and data processing tools for effective stationary and mobile field measurements |
VerfasserIn |
F. Drewnick, T. Böttger, S.-L. Weiden-Reinmüller, S. R. Zorn, T. Klimach, J. Schneider, S. Borrmann |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1867-1381
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Digitales Dokument |
URL |
Erschienen |
In: Atmospheric Measurement Techniques ; 5, no. 6 ; Nr. 5, no. 6 (2012-06-27), S.1443-1457 |
Datensatznummer |
250002976
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Publikation (Nr.) |
copernicus.org/amt-5-1443-2012.pdf |
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Zusammenfassung |
A compact mobile aerosol research laboratory (MoLa) for stationary and
mobile measurements of aerosol and trace gas characteristics was developed
at the Max Planck Institute for Chemistry (MPIC) in Mainz, Germany. Major
efforts were made to design an aerosol inlet system which is optimized and
characterised for both, stationary and mobile measurements using a particle
loss modelling approach. The instrumentation on board allows the
determination of a multitude of physical and chemical aerosol parameters,
for example particle number and mass concentration (PM1/2.5/10),
particle size distributions in the diameter range 6 nm up to 32 μm, and
chemical composition of the sub-micron aerosol. Furthermore, trace gas
concentrations of O3, SO2, CO, CO2, NO, NO2 and water
vapour as well as meteorological parameters like temperature, relative
humidity, pressure, wind, solar radiation and precipitation are measured
together with various housekeeping parameters. All instruments collect data
with high time resolution in the second to minute-range. The measurement
platform, as well as data acquisition and handling tools, are optimized for
efficient application to various measurement settings. The mobile laboratory
is designed to be used for mobile investigation of anthropogenically
influenced environments. Possible applications include pollutant mapping,
chasing of mobile sources or Lagrangian-type measurements in emission
plumes, but also stationary measurements with possible frequent position
changes and a well-characterised instrument setup. In addition to the design
and features of the mobile laboratory, its inlet system and instrumentation
as well as examples of applications of this platform are presented.
Challenges associated with such measurements and approaches to extract the
desired information from the mobile datasets are discussed. |
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