K. Kvietkus

Estimation of atmospheric trace metal emissions in Vilnius City, Lithuania, using vertical concentration gradient and road tunnel measurement data

A new approach for the estimation of trace metal emissions in Vilnius city was implemented, using vertical concentration profiles in the urban boundary layer and road tunnel measurement data. Heavy metal concentrations were examined in fine and coarse particle fractions using a virtual impactor (cut-off size diameter 2.5mm). Negative vertical concentration gradients were obtained for all metals (Ba, Pb, V, Sb, Zn) and both fractions. It was estimated that the vertical concentration gradient was formed due to emissions from an area of about 12 km 2 . Road tunnel measurements indicated that trace metal concentrations on fine particles were lower than those on coarse particles, which suggested that re-emitted road dust was highly enriched in trace metal due to historic emissions within the tunnel. Emission rates of different pollutants in the road tunnel were calculated using pollutant concentration differences at the tunnel entrance and exit and traffic flow data. Heavy metal emission rates from the area of Vilnius city were estimated using the vertical gradient of heavy metal concentrations and the coefficient of turbulent mixing, as derived from meteorological measurement data. The emission values calculated by the two different methods coincided reasonably well, which indicated that the main source of airborne trace metals in Vilnius city is traffic. The potential of the vertical concentration gradient method for the direct estimation of urban heavy metal emissions was demonstrated. r 2002 Elsevier Science Ltd. All rights reserved.

In-stack emissions of heavy metals estimated by moss biomonitoring method and snow-pack analysis

Data from the chemical analysis of moss growing close to a thermal power station and snowpack have been used for the estimation of heavy metal deposition close to the point pollution sources. A semi-empirical model was proposed to describe atmospheric trace metal deposition close to the point pollution source. Model parameters were derived from experimental data, and nickel and vanadium quantities, washed out with snow and rain, were calculated. Using long-term meteorological observation data of rain and snow duration and metal uptake efficiencies in moss, the average emission rates of vanadium and nickel from the stack were calculated. The coincidence between data from emission inventory and model results was within 25%. It was estimated that in the vicinity of pollution source (within 30 km) about 15% out of total emitted metals were washed out by rain and snow events. Metal concentrations in the environment become indistinguishable from the background at a distance of about 20 km from the stack.

Estimation of metal uptake efficiencies from precipitation in mosses in Lithuania

The main sources contributing to heavy metal content in mosses in Lithuania were examined by a comparison of heavy metal concentrations in moss and corresponding deposition levels calculated from bulk deposition analysis. Bulk deposition was collected in open areas as well as under the canopy of trees. Uptake efficiencies in moss were calculated for Cd, Cr, Cu, Fe, Mn, Ni, V and Zn. All elements in moss except Pb and Cd appeared to be more or less influenced by sources other than air pollution. The general order of this influence on the heavy metal content in moss was observed as follows: Ni < V < Cr < Zn < Fe < Mn. The contents of Mn and Zn in moss were greatly influenced by leaching from the canopy while Pb was the only element which showed a net metal retention by the canopy. Concentrations of Fe and Cr in moss were dominating due to contribution from soil dust.

extended study of atmospheric heavy metal deposition in lithuania based on moss analysis

The use of different moss species – Hylocomium splendens,Pleurozium schreberi, Eurhynchium angustirete, Sphagnum and Rhytidiadelphus – was tested for the investigation of atmosphericheavy metal deposition. Maps representing heavy metal depositionpattern in Lithuania are presented for Cd, Cr, Cu, Fe, Ni, Pb and V.The most suitable species for heavy metal deposition studies was Hylocomium splendens in which the concentrations of metalswere found to be up to 25% higher than in other species. Interspeciesand interelemental comparison was also performed. Several well definedlocal pollution sources were identified.

Changes in total concentrations and assessed background concentrations of heavy metals in moss in Lithuania and the Czech Republic between 1995 and 2005

Data on concentrations of heavy metals (As, Cd, Cr, Cu, Fe, Hg, Mn, Ni, Pb, V and Zn) in moss collected on the lightly industrialized territory of Lithuania and on the highly industrialized territory of the Czech Republic in 1995, 2000 and 2005 is used to separate the background and anthropogenic contributions to heavy metal concentrations in moss. The distribution of the concentration logarithms allowed us to determine a background mode, and to estimate the background concentration of heavy metals from this mode. The method was then applied for an estimation of the contribution of local sources to the total pollution level in both countries. The average concentrations and the background modes of heavy metals in Lithuania and in the Czech Republic were very similar, except in the case of vanadium, where the background concentration was higher in Lithuania than in the Czech Republic. For most elements, the background concentration in moss had a decreasing tendency in Lithuania and in the Czech Republic between 1995 and 2005, though the concentration of Cu and Hg increased in Lithuania. The variability of chromium concentration in moss differed from the remaining investigated elements in the Czech Republic, and it was expressed as a bimodal lognormal distribution. This variability may be due to simultaneous contamination of moss by chromium from soil and from industrial sources of pollution.