The atmospheric energy budget in the centre of Athens, Greece was determined during the Thermopolis 2009 campaign in order to investigate the development of the urban heat island. Heatwaves during summer are a common occurrence in this large conurbation. Micrometeorological data from a tower were acquired in a densely built central district, and net all-wave radiation, sensible heat, latent heat and momentum flux densities were derived by the eddy-covariance method and also estimated using Monin-Obukhov similarity relationships. Under the prevailing hot and dry conditions, sensible heat-flux density was on average five times larger than the latent heat-flux density. The anthropogenic contribution to the energy budget was also determined on the basis of the acquired data.
Gaseous elemental mercury (GEM) concentrations were determined in three different indoor environments: an office in a building with no indoor sources of mercury (Bldg. I), an office affected by indoor mercury emissions from an adjacent laboratory (Bldg. II), and finally, an office where an outdoor mercury spill occurred accidentally (Bldg. III). The maximum recorded indoor GEM concentrations, with the largest variation in time, were observed in Bldg. II, with a continuous indoor mercury source (lower to upper quartile 15 to 62 ng m). The lowest values were recorded in Bldg. I (lower to upper quartile 3 to 5 ng m), where indoor GEM levels were affected mainly by the exhaust of vehicles in the parking lot of the building. The monitoring of GEM indoors (lower to upper quartile 15 to 42 ng m), and outdoors (in several heights) of the Bldg. III, revealed that the cleaning up procedure that followed the spill was not adequate. Auxiliary measurements in the first two cases were the indoor microclimatic conditions, as well as the indoor CO concentrations, and in the third case the outdoor meteorological data. The exhaust of vehicles, the chemical reagents, and an outdoor mercury spill were found to mainly affect the observed indoor GEM levels. People in Bldg. II and people walking through the area, where Hg was spilled, were found to be exposed to concentrations above some guide values.
Coastal rural areas can be a source of elemental mercury, but the potential influence of their topographic and climatic particularities on gaseous elemental mercury (GEM) fluxes have not been investigated extensively. In this study, gaseous elemental mercury was measured over Mediterranean coastal grassland located in Northern Greece from 2014 to 2015 and GEM fluxes were evaluated utilizing Monin–Obukhov similarity theory. The GEM fluxes ranged from –50.30 to 109.69 ng m−2 h−1 with a mean value equal to 10.50 ± 19.14 ng m−2 h−1. Concerning the peak events, with high positive and low negative GEM fluxes, those were recorded from the morning until the evening. Rain events were a strong contributing factor for enhanced GEM fluxes. The enhanced turbulent mixing under daytime unstable conditions led to greater evasion and positive GEM fluxes, while, during nighttime periods, the GEM evasion is lower, indicating the effect of atmospheric stability on GEM fluxes. The coastal grassland with its specific characteristics influences the GEM fluxes and this area could be characterized as a source of elemental mercury. This study is one of the rare efforts in the research community to estimate GEM fluxes in a coastal natural site based on aerodynamic gradient method.
Gaseous elemental mercury (GEM) was monitored in the atmosphere of a coastal site situated in the Northern Aegean Sea of Greece from August 2014 to January 2015. The selected sampling site is seldom impacted by human activities. Thus, it was possible to study the processes involved in natural terrestrial, aquatic, and atmospheric environments. The diurnal and monthly variations in the concentration of GEM as well as the factors influencing these variations were determined. The GEM concentrations were found to be in the range from 0.63 to 4.44 ng m–3 during data acquisition. The mean GEM concentration was about 1.04 ±0.30 ng m–3. Higher concentrations and variability were observed during the summer than in fall and winter. In addition, increased GEM concentrations were measured during midday. The diurnal and monthly variations in GEMwere possibly affected by solar radiation, temperature, vegetation, and boundary layer height. Various peaks were observed for air masses of terrestrial origin, possibly due to the small extent of biomass burning as well as rainfall. The background concentrations of GEM in the studied coastal site were around 1.50 ng m–3. The sampling site is a complex environment as this coastal region has seasonal surface water in the mainland and extended areas of grassland and vegetated surfaces. All individual parameters of this area play significant roles in determining GEM concentrations.
Coastal rural areas can be a source of elemental mercury, but the potential influence of their topographic and climatic particularities on gaseous elemental mercury (GEM) fluxes have not been investigated extensively. In this study gaseous elemental mercury was measured over Mediterranean coastal grassland located at Northern Greece from 2014 to 2015 and GEM fluxes were evaluated utilizing Monin-Obukhov similarity theory. The GEM fluxes ranged from -50.30 to 109.695 ng m-2 h-1 with a mean value equal to 10.501 ng m-2 h-1 ± 19.14 ng m-2 h-1. Concerning the peak events, with high positive and low negative GEM fluxes, those were recorded from the morning until the evening. Rain events were a strong contributing factor for enhanced GEM fluxes. The enhanced turbulent mixing under daytime unstable conditions led to greater evasion and positive GEM fluxes while during nighttime periods the GEM evasion is lower indicating the effect of atmospheric stability on GEM fluxes. The coastal grassland with its specific characteristics influences the GEM fluxes and this area could be characterized as source of elemental mercury. This study is one of the rare efforts in the research community to estimate GEM fluxes in a coastal natural site based on aerodynamic gradient method.
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