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Synoptic and Mesoscale Weather Conditions During Air Pollution Episodes in Athens, Greece

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Based on regular climatological and air quality data from the Greater Athens Area (GAA), the air pollution episodes observed in Athens during the period 1983–1990 were analysed and classified. The main characteristics of atmospheric conditions during days with high air pollution concentrations are summarized too. Model simulations show that the worst air pollution episodes in Athens occur during days with a critical balance between synoptic and mesoscale circulations and/or during days with warm advection in the lower troposphere.
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... On the contrary, most of the industrial activity in the GAA is concentrated in the Thriassion Plain, 10-20 km to the northwest of Piraeus [41]. bined with weak northerlies or calms during the night [42,43]. Strong synoptic-scale N-NE advections are most frequent during winter over the GAA and blow over day and night, while in summer, the northern Etesian wind regime often prevails in the daytime. ...
... The effect of the sea/land breeze system from the Saronic Gulf cell is present throughout the year, but is far more prevalent in the summer, with strong onshore flows observed during the day (typically exceeding 6 m s −1 around noon), also exhibiting a large vertical extent. This daytime pattern is typically combined with weak northerlies or calms during the night [42,43]. Strong synoptic-scale N-NE advections are most frequent during winter over the GAA and blow over day and night, while in summer, the northern Etesian wind regime often prevails in the daytime. ...
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Port cities are affected by a wide array of emissions, including those from the shipping, road transport, and residential sectors; therefore, the characterization and apportionment of such sources in a high temporal resolution is crucial. This study presents measurements of fine aerosol chemical composition in Piraeus, one of the largest European ports, during two monthly periods (winter vs. summer) in 2018–2019, using online instrumentation (Aerosol Chemical Speciation Monitor—ACSM, 7-λ aethalometer). PMF source apportionment was performed on the ACSM mass spectra to quantify organic aerosol (OA) components, while equivalent black carbon (BC) was decomposed to its fossil fuel combustion and biomass burning (BB) fractions. The combined traffic, shipping and, especially, residential emissions led to considerably elevated submicron aerosol levels (22.8 μg m−3) in winter, which frequently became episodic late at night under stagnant conditions. Carbonaceous compounds comprised the major portion of this submicron aerosol in winter, with mean OA and BC contributions of 61% (13.9 μg m−3) and 16% (3.7 μg m−3), respectively. The contribution of BB to BC concentrations was considerable and spatially uniform. OA related to BB emissions (fresh and processed) and hydrocarbon-like OA (from vehicular traffic and port-related fossil fuel emissions including shipping) accounted for 37% and 30% of OA, respectively. In summer, the average PM1 concentration was significantly lower (14.8 μg m−3) and less variable, especially for the components associated with secondary aerosols (such as OA and sulfate). The effect of the port sector was evident in summer and maintained BC concentrations at high levels (2.8 μg m−3), despite the absence of BB and improved atmospheric dispersion. Oxygenated components yielded over 70% of OA in summer, with the more oxidized secondary component of regional origin being dominant (41%) despite the intensity of local sources, in the Piraeus environment. In general, with respect to local sources that can be the target of mitigation policies, this work highlights the importance of port-related activities but also reveals the extensive wintertime impact of residential wood burning. While a separation of the BB source is feasible, more research is needed on how to disentangle the short-term effects of different fossil-fuel combustion sources.
... This clear seasonality over Athens has already been discussed in Skoulidou et al. (2021b), while the effect of local wind patterns can greatly influence the NO 2 levels sensed by both satellite and ground-based instrument. Air pollution in the region is defined by a combination of anthropogenic (traffic, industrial, seaport and airport) emissions (Pateraki et al., 2013) and meteorological conditions driven by strong winter temperature inversions and sea breeze circulation in the summer (Kallos et al., 1993). Athens is furthermore surrounded by mountains in the north, east and west, which, combined with the Saronic Gulf in the south, limits the dispersal of polluted air (Grivas et al., 2008). ...
... Meteorological factors such as wind direction and speed, temperature, relative humidity, and mixing height have a crucial role in PM transport, dispersion, and deposition in the atmosphere (Gao et al., 2019). In addition, elevated concentrations of air pollutants can be associated with specific microscale meteorological conditions affecting the air quality of an area (Kallos et al., 1993;Triantafyllou, 2001). The wind rose diagrams presented in Fig. 8 show the wind direction during the first study period (2010)(2011)(2012)(2013)(2014)(2015) and the observed PM 10 concentrations at the monitoring station in K. Komi for the background (Fig. 8a) and non-background (Fig. 8b) days. ...
... Sea breezes discharge air pollutants from coastal cities and suburbs to inland areas (Bonsang et al., 2001). This cycle facilitates the accumulation of pollutants and generation of secondary pollutants under the influence of photochemistry (Kallos et al., 1993;Kotroni et al., 1999;Liu & Chan, 2002). In recent years, improvements in the atmospheric environment have reduced the number of primary pollutants and mitigated the generation of secondary pollutants (Fig. 2). ...
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Forest decline, which occurs in mountainous regions in many countries, may result from the effects of acid fog, ozone, or deposition of other pollutants. We observed wet deposition of air pollutants at different altitudes on Mt. Oyama, situated southwest of Tokyo, for 1994 until 2019. During this period, the domestic atmospheric environment was improved in Japan. The average concentration of air pollutants around all the sampling sites on Mt. Oyama decreased by 63.01%, 32.08%, 8.80%, and 39.73% for NH3, HCl, HNO3, and SO2, respectively. The volume weighted mean (VWM) pH values showed an increasing trend for bulk deposition (+0.70% y⁻¹), fog water (+2.58% y⁻¹), and throughfall (+2.60% y⁻¹). Stemflow also increased (cedar, +1.17% y⁻¹; fir, +0.82% y⁻¹), although it included organic acids dissolved from the stem and it primarily had a low VWM pH value. The overall pH value of the fog water increased at the site, although acidic fog was still observed. Comparing fog water between winter and summer, a significant increase in pH occurred in summer, whereas no change occurred in winter. In summer, the sources of pollutants at Mt. Oyama are mainly from mainland Japan, and the frequency of low-pH acidic fog decreased annually. In winter, Mt. Oyama was affected by transboundary pollution, and acid fog occasionally occurred. Improvements in the domestic atmospheric environment and control of transboundary pollution will provide better conditions for mountain ecology that are free from acidic pollutants.
... The impact of regional influences on visibility was investigated by using the back trajectory and synoptic pattern classification approach. Both these methods are widely used for air quality and visibility-related studies (e.g., Kallos et al., 1993;Baltaci et al., 2019;Aman et al., 2020;Duc et al., 2016;Chen et al., 2014;Wimolwattanapun et al., 2011;Pongkiatkul & Kim Oanh, 2007). The 120-h back-trajectories and their heights were calculated for each day during the study period using the Hybrid Single-Particle Lagrangian Integrated Trajectory Model (HYSPLIT) developed by the National Oceanic and Atmospheric Administration (NOAA) (Stein et al., 2015). ...
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... It has been characterized as the meeting point of air masses coming from Europe, Africa, and Asia. The anthropogenic emissions of Europe, Balkans, and the Black Sea meet with natural emissions mainly from North Africa and the Sahara Desert (Kallos et al., 1993) as well as from biomass burning activities (Balis et al., 2003), increasing the air pollution levels of the area (Kanakidou et al., 2011;Lelieveld et al., 2002). Additionally, two megacities exist in the Eastern Mediterranean basin: The Greater Cairo area (GCA) (Egypt) at the south edge and the Greater Istanbul Area (GIA) (Turkey) at the north east edge, as well as several large urban centers like the Greater Athens area (GAA) in Greece Kanakidou et al., 2011). ...
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The knowledge of the background air pollution is essential in order to implement abatement strategies for improving air quality. In the present study, a statistical clustering algorithm based on Hidden Markov Models (HMMs) was used to determine the background concentrations of PM10 and O3 at a coastal monitoring site in the Eastern Mediterranean by analyzing an eight-year period of air quality data, from 2011 to 2018. Time series of the deseasonalized daily average concentrations of PM10 and O3 and their diurnal amplitudes were applied to the model to identify the unobserved patterns or hidden states that define the pollution states of the two mentioned air pollutants. The pollution state characterized by the lowest daily average concentration and diurnal amplitudes defined the background pollution level and had the main interest in the current work. The findings revealed that during the studied period, 59% of the total daily PM10 values and 67% of the O3 values corresponded to the background pollution state and the average background concentrations were 14.3 ± 5.2 μg/m³ for PM10 and 48.4 ± 8.2 ppb for O3 respectively. In the case of PM10, anthropogenic activities and Saharan dust events, which define different pollution states, contribute in a decisive way to the PM10 load in the region and play a significant role in the observed annual PM10 levels. Additionally, in the case of O3, anthropogenic activities and regional pollution affect the background levels of the region mainly during summer months. The proposed method is a flexible tool with great potential for estimating the background levels of air pollutants at various monitoring stations.
... Meteorological parameters which can affect the way atmospheric pollutants change are including wind shear and direction, atmospheric vertical temperature structure, humidity, and solar radiation [12][13][14]. For example, the absence of wind with appropriate intensity and temperature inversion that prevents convective movements can cause the accumulation of atmospheric pollutants in the lower layers [15]. Due to the importance of this issue, many studies have been conducted on the relationship between meteorological conditions and atmospheric parameters with air pollution. ...
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