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| Titel |
One year online chemical speciation of submicron particulate matter (PM1) sampled at a French industrial and coastal site |
| VerfasserIn |
Shouwen Zhang, Véronique Riffault, Sébastien Dusanter, Patrick Augustin, Marc Fourmentin, Hervé Delbarre |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250109548
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| Publikation (Nr.) |
 EGU/EGU2015-9464.pdf |
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| Zusammenfassung |
| The harbor of Dunkirk (Northern France) is surrounded by different industrial plants
(metallurgy, petrochemistry, food processing, power plant, etc.), which emit gaseous and
particulate pollutants such as Volatile Organic Compounds (VOCs), oxides of nitrogen (NOx)
and sulfur (SO2), and submicron particles (PM1). These emissions are poorly characterized
and their impact on neighboring urban areas has yet to be assessed. Studies are
particularly needed in this type of complex environments to get a better understanding of
PM1sources, especially from the industrial sector, their temporal variability, and their
transformation.
Several instruments, capable of real-time measurements (temporal resolution ≈¤ 30 min),
were deployed at a site located downwind from the industrial area of Dunkirk for a
one-year duration (July 2013-September 2014). An Aerosol Chemical Speciation
Monitor (ACSM) and an Aethalometer monitored the main chemical species in the
non-refractory submicron particles and black carbon, respectively. Concomitant
measurements of trace gases and wind speed and direction were also performed. This dataset
was analyzed considering four wind sectors, characteristics of marine, industrial,
industrial-urban, and urban influences, and the different seasons. We will present a
descriptive analysis of PM1, showing strong variations of ambient concentrations, as
well as evidences of SO2 to SO4 gas-particle conversion when industrial plumes
reached the monitoring site. The organic fraction measured by ACSM (37% of
the total mass on average) was analyzed using a source-receptor model based on
Positive Matrix Factorization (PMF) to identify chemical signatures of main emission
sources and to quantify the contribution of each source to the PM1 budget given
the wind sector. Four main factors were identified: hydrocarbon organic aerosol
(HOA), oxygenated organic aerosol (OOA), biomass burning organic aerosol (BBOA)
and cooking-like organic aerosol (COA). Overall, the total PM1 mass loading was
dominated by secondary inorganic species and OOA. The seasonal variations of
different identified factors will be discussed as well as the influence of ship emissions. |
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