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Samples of various ecochemical types of soil were collected in the region of the future accumulation of Lake Bogovina (Serbia). They were analyzed for ten elements using AAS, GFAAS and ICP. Investigation of the nature of association of heavy metals and identification of their substrates was provided by sequential extraction in five steps by successive extraction of soil samples with different mediums. Besides the acid soluble residual phase, most microelements were extracted in the easily and moderate reducible phases. Correlation between manganese and iron from the second and third phase with trace metals from non-residual phases was provided in order to determine their bioavailability. Besides principal component and cluster analysis, the enrichment factors were provided in order to check the impact of anthropogenic factors on trace elements. Most samples contained trace elements mainly from crustal origin with the exception of cadmium.
The population of Serbia’s South Pannonian Basin obtains its drinking water supply from groundwater. High alkalinity; the presence of iron, manganese, and the ammonium ion; low hardness; and high concentrations of organic substances and arsenic are general characteristics of these groundwaters. One of the major drinking water supply issues in the South Pannonia Basin is the high concentration of arsenic, which in some cases exceeds several times the maximum allowable concentration. A health risk assessment model was applied to calculate cumulative exposure to As as well as toxic and carcinogenic risks resulting from drinking raw groundwater contaminated by As in the South Pannonian Basin.
The assessment of soil erosion rate and its spatial distribution in the hilly-mountainous Nisava River basin was conducted by Universal Soil Loss Equation (USLE) model through a GIS-based approach. A Landsat 7 Enhanced Thematic Mapper (ETM+) image and normalized difference vegetation index (NDVI) were used for the determination of crop management factor. The average annual soil loss was estimated at 13.1 t·ha⁻¹·yr⁻¹, classifying the Nisava River basin under the high erosion rate category. About 44.1% of the watershed area was characterized by slight erosion rate (< 5 t·ha-1·yr⁻¹), 15.5% of the area was found to be under moderate erosion rate (5-10 t·ha⁻¹), 18.9% of the area was under high erosion rate (10-20 t·ha⁻¹), while around 14.4% of the area was under a very high erosion rate (20-40 t·ha-1·yr⁻¹). Severe erosion rates (40-80 t·ha-1·yr⁻¹) were observed at 5.9% of the study area (168 k²), whereas very severe erosion rate (>80 t·ha-1·yr⁻¹) described about 1.3% of the watershed (35.9 km²). The highest erosion was found on a sloppy terrain with agricultural activity. The results of this work are in agreement with previous studies conducted in the watershed, which indicates the presented methodology could be applied with eventual further improvements for the evaluation of erosion factors on soil resources in Serbia when limited data are available.
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