Environmental tritium of the Danube basin in Yugoslavia

An overview of environmental distribution of tritium in the Danube basin in Yugoslavia during the period 1976-1990 is presented. Temporal and regional variations of environmental tritium in the Danube along its flow (1425-847 km from the confluence) and its tributaries (the Sava, the Tisa, the Velika Morava and the Timok) at various locations, as well as in alluvial groundwaters, are given. In Belgrade, monthly values of tritium in rainfall ranged from 1.1 to 18.3 Bq litre(-1), with a maximum in the late spring and early summer months. The half-life for decline in concentration was estimated as 8.3+/-1.0 years. The total amount of tritium deposited in the first 6 months during 1976-90 was 35% larger than in the second 6 months for the same period. Seasonal variations were noticeable in rivers and groundwaters, but these were greatly attenuated and smoothed for the latter. Tritium content in the monthly composite samples from the river in the Belgrade region varied between 2.5 and 18.2 Bq litre(-1) for the Danube and from 1.5 to 16.8 Bq litre(-1) for the Sava. The yearly mean values along the Danube and its tributaries ranged from 2.4 to 15.9 Bq litre(-1) with individual measurements 1.0-30.2 Bq litre(-1). The half-lives were between 6.9+/-1.7 for the Velika Morava and 9.4+/-0.9 for the Danube. Groundwaters, particularly ones in the Ranney wells, followed changes of tritium content in the rivers with a time lag from a few days to a month. During the period of observation, tritium content decreased in alluvial waters with half-lives from 9.9+/-1.6 (Belgrade area) to 7.3+/-1.8 (the Velika Morava).     

Kinetic sodium analyses in the crab Carcinus mediterraneus

Kinetic analyses were made of the stable sodium and radioactive sodium (²²Na) in some tissues of the crab Carcinus mediterraneus CSRN. Fast ²²Na outflux constant is increased in gills, hepatopancreas, hemolymph, digestive tract and muscles. In the reproductive organs the values of the sodium outflux constant are lower. The values of the fast outflux rates (t=20°C) of sodium amount, in the whole animal, to 22.5 M Na/g/h, in the hemolymph, to 69.3 M Na/g/h; the slow outflux rates have much lower values (0.02 to 0.13 M Na/g/h). Moulting crabs show a rate of sodium outflux 6 times greater than that of intermoulting individuals.     

Natural bitumens versus oil pollution in the Vlasina lake peat

Free and associated bitumens were isolated by sequential extraction from Vlasina lake peat (SE Serbia) and were investigated in order to differentiate between oil pollution and natural bitumens. Four peat samples were collected at different depths, on a peat island. Gas chromatographic (GC) and gas chromatography/mass spectrometry (GC/MS) analysis revealed the presence of three markedly different bitumen fractions. Here we show that the free bitumens are representing the native peat bitumens. The two associated bitumens are mainly the products of bacterial rework of organic substance, which were then trapped by two differing mechanisms. The bitumens characteristics and association features exclude a contribution of oil pollution.Selected article from the Regional Symposium on Chemistry and Environment Krusevac, Serbia, June 2003, organised by Dr. Branimir Jovancicevic.     

Using multi-objective classification to model communities of soil microarthropods

In agricultural soil, a suite of anthropogenic events shape the ecosystem processes and populations. However, the impact from anthropogenic sources on the soil environment is almost exclusively assessed for chemicals, although other factors like crop and tillage practices have an important impact as well. Thus, the farming system as a whole should be evaluated and ranked according to its environmental benefits and impacts. Our starting point is a data set describing agricultural events and soil biological parameters. Using machine learning methods for inducing regression and model trees, we produce empirical models able to predict the soil quality from agricultural measures in terms of quantities describing the soil microarthropod community. We are also interested in discovering additional higher level knowledge. In particular, we have identified the most important factors influencing the population densities of springtails and mites and their biodiversity. We also identify to which agricultural actions different microarthropods react distinctly. To obtain this higher level knowledge, we employ multi-objective regression trees.