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Technical Papers

Variability of Atmospheric Aerosol and Ozone Concentrations at Marine, Urban, and High-Altitude Monitoring Stations in Southern Italy during the 2007 Summer Saharan Dust Outbreaks and Wildfire Episodes

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Pages 952-967 | Published online: 29 Aug 2011

Figures & data

Figure 1. Monitoring site locations: suburban background (SB), urban background (UB), and rural background (RB) sites.

Figure 1. Monitoring site locations: suburban background (SB), urban background (UB), and rural background (RB) sites.

Table 1. Coordinates and monitoring station classification for each sampling site

Figure 2. Time evolution of PM10 levels recorded at (a) SB, (b) UB, and (c) RB sites.

Figure 2. Time evolution of PM10 levels recorded at (a) SB, (b) UB, and (c) RB sites.

Table 2. Descriptive statistics for ozone levels

Figure 3. Trajectory and mixed layer altitudes along the path followed by backward trajectory before their arrival at (a) SB, (b) UB, and (c) RB sites, respectively, on 30 August.

Figure 3. Trajectory and mixed layer altitudes along the path followed by backward trajectory before their arrival at (a) SB, (b) UB, and (c) RB sites, respectively, on 30 August.

Figure 4. Time series of PM10 (µg m−3) and O3 (ppb) levels (left panels) and of T (°C) and RH (%) values (right panels) for (a, b) SB, (c, d) UB, and (e, f) RB sites, respectively. Grey bars highlight the identified SDO periods.

Figure 4. Time series of PM10 (µg m−3) and O3 (ppb) levels (left panels) and of T (°C) and RH (%) values (right panels) for (a, b) SB, (c, d) UB, and (e, f) RB sites, respectively. Grey bars highlight the identified SDO periods.

Table 3. Comparison of PM10, O3, T, and RH explorative statistic values recorded during days with and without SDO

Figure 5. Time series of PM10 and O3 levels recorded at (a) Firmo and (b) Saracena rural sites.

Figure 5. Time series of PM10 and O3 levels recorded at (a) Firmo and (b) Saracena rural sites.

Figure 6. Daily total hotspot fires (HSFs) over Cosenza province (Calabria region), from the MODIS Rapid Response System-Web Fire Mapper (http://maps.geog.umd.edu). Dots represent the number of hotspot fires singularly affecting our sampling sites.

Figure 6. Daily total hotspot fires (HSFs) over Cosenza province (Calabria region), from the MODIS Rapid Response System-Web Fire Mapper (http://maps.geog.umd.edu). Dots represent the number of hotspot fires singularly affecting our sampling sites.

Figure 7. Cluster analysis based on the prevailing air mass trajectories and paths. Average values for PM10, O3, T, and RH over each kind of influence (left panels) and occurrence frequencies of the identified air mass classes (right panels) are reported for (a, b) SB, (c, d) UB, and (e, f) RB sites, respectively.

Figure 7. Cluster analysis based on the prevailing air mass trajectories and paths. Average values for PM10, O3, T, and RH over each kind of influence (left panels) and occurrence frequencies of the identified air mass classes (right panels) are reported for (a, b) SB, (c, d) UB, and (e, f) RB sites, respectively.

Figure 8. Quantification of the net African dust load at (a) SB, (b) UB, and (c) RB sites. Left panels report time series of PM10 concentrations, with the black bars indicating the absolute dust load calculated for days with SDO influence. Absolute and percent values of number of exceedances are showed on the right panels with and without Saharan dust contribution.

Figure 8. Quantification of the net African dust load at (a) SB, (b) UB, and (c) RB sites. Left panels report time series of PM10 concentrations, with the black bars indicating the absolute dust load calculated for days with SDO influence. Absolute and percent values of number of exceedances are showed on the right panels with and without Saharan dust contribution.

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