 |
| Titel |
Two year-long continuous monitoring of PM1 aerosol chemical composition at the Cyprus Atmospheric Observatory. Source apportionment of the Organic content and geographic origins. |
| VerfasserIn |
Iasonas Stavroulas, Michael Pikridas, Kostantina Oikonomou, Emily Vasiliadou, Chrysanthos Savvides, Mihalis Vrekoussis, Nikolaos Mihalopoulos, Valérie Gros, Jean Sciare |
| Konferenz |
EGU General Assembly 2017
|
| Medientyp |
Artikel
|
| Sprache |
en
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250148996
|
| Publikation (Nr.) |
 EGU/EGU2017-13307.pdf |
|
|
|
|
|
| Zusammenfassung |
| Particulate matter with diameter smaller than 1{\mu}m (PM$_{1})$ induces direct and indirect effects on local and regional pollution, global climate and health. As of the beginning of 2015, the chemical composition of submicron aerosols, is continuously being monitored at the newly
established Cyprus Atmospheric Observatory (CAO,
http://www.cyi.ac.cy/index.php/cao.html), a national facility of the ACTRIS
Research Infrastructure operated by The Cyprus Institute. Cyprus, an island
located in the Eastern Mediterranean Middle East region and influenced by
diverse air masses throughout the year, is ideal for monitoring
photochemically aged aerosols and gaseous pollutants of both natural and
anthropogenic origin. Furthermore this is a unique dataset for this area in
such proximity to the Middle East, a poorly documented area in terms of
atmospheric aerosol observations.
An Aerodyne Quadrupole Aerosol Chemical Speciation Monitor (Q-ACSM) is
currently deployed at the CAO premises (35.04N -- 33.06E) situated at the
rural area of Agia Marina Xyliatou on the foothill of mount Troodos at an
elevation of 532m above sea level (asl). The ACSM delivers chemical
composition of the major non-refractory aerosol (PM$_{1})$ chemical
constituents (organics, sulfate, nitrate, ammonium, chloride) with an
effective (close to 100{\%}) collection efficiency for particles in the
diameter range of 65-700 nm at a 30 minute temporal resolution. Black Carbon
(BC) was also monitored using both Magee Scientific AE-31 and AE-33
aethalometers. Quality control of the PM chemical dataset was conducted by
comparison with chemical analysis performed on collocated 24-h filter
samples (PM$_{1})$ and comparison with 1-h PM$_{2.5}$ derived from a Thermo
Scientific TEOM (1400a) Monitor. Positive Matrix Factorization (PMF) was
conducted and different organic aerosol factors were distinguished using the
Igor based SoFi toolkit utilizing the ME-2 multilinear engine. Air mass
origin was investigated for each measurement day using the Lagrangian
dispersion model FLEXPART in backward mode.
Analysis of the PMF on the organic mass spectra, based on good agreement
with external standard mass spectra, led to the selection of a solution with
three factors, an HOA (Hydrocarbon-like Organic Aerosol) factor with
relatively low overall contribution (9{\%}), a typical Low Volatility
(LV-OOA) factor contributing 54{\%}, and a factor attributed to
Semi-Volatile organics (SV-OOA), contributing 37{\%}. The FLEXPART model
analysis, led to eight main regions of influence, namely Europe, West
Turkey, Anatolia, Middle East, North Africa, Marine, Local and Mixed.
Organic content exhibits maximum values when air masses originate from the
wider northern sector (West Turkey and Anatolia) and the Middle East. Less
aged organic content was identified for air masses originating from the
immediate neighboring regions (West Turkey, Anatolia, Middle East and North
Africa) while fresh organics peaked when air masses originated from the
Middle East, coinciding with elevated BC concentrations, suggesting strong
anthropogenic sources for this sector.
This project received funding from the ChArMEx (Chemistry Aerosol
Mediterranean Experiment) program, the ENVI-MED CyAr project, the European
Union's Seventh Framework Programme (FP7) project BACCHUS under grant
agreement no. 603445, and the European Union's Horizon 2020 research and
innovation programme ACTRIS-2 under grant agreement No 654109. |
|
|
|
|
|
|